phd in computational design

Computational Design

MSCD | PhD-CD

The Computational Design (CD) program investigates creative opportunities and critical issues at the nexus of design and computation. Fundamentally interdisciplinary, it mobilizes Carnegie Mellon University’s computational strengths critically towards design, architecture, and other creative disciplines.

Daragh Byrne

Associate Teaching Professor, Interim CD Track Chair

Daniel Cardoso Llach

Associate Professor, CD Track Chair & CodeLab Director

Program Overview

With a shared emphasis on critical technical practice, faculty and students in the program draw from fields including computer science, robotics, human-machine interaction, machine learning, art, and science and technology studies to illuminate emerging potentials as well as unforeseen consequences of new technologies in design. The program examines topics including robotically-supported construction, machine learning- and AI-based approaches to design generation and analysis, tangible interaction, shape grammars, responsive environments, digital heritage, computational urban studies, as well as historical and ethnographic investigations into design technologies and technologically-mediated design practices. The program’s research and creative works are frequently discussed, published, and exhibited in leading national and international venues. Inherently interdisciplinary, the program invites students to forge unique curricular paths, closely interacting with field-defining researchers, educators, and mentors in the program and across the university. 

The program offers Master of Science (MS) and Doctor of Philosophy (PhD) degrees, and is well suited to highly inquisitive applicants with technical, creative, and/or critical backgrounds who are motivated to challenge disciplinary boundaries; develop a unique research agenda; and explore the intersection computation and design with creativity, technical rigor, and critical depth.

Master of Science in Computational Design

The Masters of Science in Computational Design is a two-year, research-focused program that prepares students for leading industry positions and advanced studies in the broad field of Computational Design. 

Students in the program develop technical and conceptual skills to a) formulate and develop technologies that reimagine material, sociotechnical, and/or environmental relations in design; b) approach digital systems and human-machine encounters as sites for both creative exploration and critical inquiry; and c) produce a thesis that documents a substantial work of research and a novel contribution to knowledge in the field of Computational Design.

The program’s curriculum is structured around a lean sequence of research seminars that builds cohesive cohorts, explores the field’s technical, conceptual, and historical underpinnings, and introduces a variety of approaches to research in the field. Selective courses, special topics seminars, and faculty-led independent studies and research groups delve deeper into technical and critical issues, and help instigate the development of unique theses. With guidance from faculty advisors, students define a sequence of courses providing a solid technical understanding of computational concepts and techniques. The precise choice and sequence is based on each student’s prior skill level and their research orientation. In addition, a vast pool of eligible extra departmental courses gives students the opportunity to enrich their methodological and conceptual toolkits further. During the second year, students form advisory committees and develop their theses. Of publishable, or close to publishable, quality, theses in the program rigorously document the definition, prototyping, and critical interrogation of design-technological systems, and/or their histories and the communities they support. 

The program’s typical duration is four semesters. Students must complete a minimum of 147 units of coursework including a 36 unit thesis for graduation. Proficient candidates with prior relevant experience may be considered for advanced standing, subject to approval of the faculty committee upon admission based on a proposed plan of studies. In all cases, full-time registration must be maintained for the first three semesters.

MSCD Curriculum

Doctor of Philosophy in Computational Design

The Doctor of Philosophy in Computational Design prepares students for careers as leading educators, scholars, and researchers in academia and industry. The program offers students the opportunity to conduct research that explores Computational Design questions in greater technical and critical depth, resulting in novel and original contributions to knowledge in the field.

Students work closely with their advisors throughout all stages of the program. Advisors are responsible for supervising and offering guidance, including working with students in the formulation of an individual plan of studies that supports both technical and conceptual elements of the student’s chosen area of concentration. Advisory committees in the doctoral program in CD must be chaired by a CD Core Faculty member, and must include one external member. External advisors might be at a different Carnegie Mellon University department, at a different institution, or in industry. Faculty currently serving as PhD advisors in the program include Profs Joshua Bard, Daragh Byrne, Daniel Cardoso Llach, and Vernelle Noel. Prospective applicants are encouraged to familiarize themselves with the work of the program and with individual advisors’ recent and ongoing research. 

Students’ doctoral path in CD is punctuated by four milestones. The first is the presentation of a game plan that specifies the student’s area of concentration within the program and a scope of work within that area comprising both a plan of studies and research activities, as well as an advisory committee. The second milestone, usually completed after fulfilling course requirements, is a written and oral examination that gives students the opportunity to demonstrate their command over technical and conceptual aspects of their area of concentration, and their ability to formulate an original research project. The third is the public presentation of their dissertation proposal, a document detailing the dissertation’s conceptual, technical, and methodological components, arguing for its relevance to the field of Computational Design, and demonstrating its viability by documenting completed and ongoing research activities. The final milestone is the public defense of their doctoral dissertation. A doctoral dissertation in CD must be a rigorous, significant, and novel contribution to knowledge in the field. It must be grounded on a deep understanding of the state of the art in the field and their specific area of concentration, as well as a critical awareness of the broader contexts of the research.

^ A Data Informed Workflow in Design for Architecture and Urbanism. Javier Argota Sánchez-Vaquerizo, MSCD 2018

PhD-CD Curriculum

About the Program

The highly selective Computational Design graduate program at the School of Architecture at Carnegie Mellon University is a trailblazer in computational design research and pedagogy. With origins in the late 1960s, it is one of the earliest programs of its kind. Its pioneering focus on applications of computational representation and symbolic AI to design has evolved into a broader inquiry into computational modes of design interaction, materiality, and intelligence, and a sensitivity towards the cultural, material, and historical specificity of computational media in design. Today, the Computational Design program adopts a broad view of computation as a vehicle of design inquiry, as a key technical scaffolding for applied and speculative design research, and as a worthy subject of scholarly analysis and debate. 

More than mere instruments, computational methods and ideas — including those linked to recent developments in machine learning/AI, virtual and augmented reality, and robotics — configure new technical infrastructures and imaginaries. Shaping contemporary spaces, artifacts, materials, and labors, these also configure new conceptions of design and creativity. Embracing this complex context, the Computational Design program works to develop new knowledge that harnesses computational ideas and methods towards humane, ecological, and creative environments, and that reimagines the interplay of the technological, the social, and the material in design.

^ Interfacing the Multiplexer Room: Speculative Spatio-Mediated Assemblages for the Digitally Interfered Home. Policarpo Del Canto Baquera, MSCD 2021

Computational Design students occupy the Computational Design Laboratory (CODe Lab) , a beautiful double-height space strategically located in the Margaret Morrison building’s fourth floor, and its two adjacent suites. Aside from workspaces and an area for presentations and collaborative work, the lab houses a fabrication space equipped with a variety of tools to support research including desktop digital and hand fabrication tools, an electronics workbench, as well as dedicated terminals for specialized data and graphics processing and virtual/augmented reality research. 

In addition, CD students have access to many other School of Architecture and Carnegie Mellon University’s world-class laboratories and facilities, including the Design Fabrication Laboratory (dFAB) and Applied Architectural Robotics Laboratory. They often participate in research and learning activities at other labs including the Frank Ratchye STUDIO for Creative Inquiry , the College of Fine Arts’ research hub, and the Manufacturing Futures Institute at Mill 19 , among others.

Extracurricular activities including yearly lecture series and workshops by leading computational design scholars and practitioners further enrich the program, fostering a vibrant atmosphere of research, learning, and creativity.

Recent Alumni

Recent phd-cd alumni.

Ardavan Bidgoli , PhD ‘23 - Computational Design Lead, Higharc; Co-Founder, Flumio; Madeline Gannon , PhD ‘21 - NVIDIA, Founder-Principal, ATON-ATON; Jinmo Rhee , PhD ‘24 (expected) - Assistant Professor of Architecture, U. of Calgary, Canada; Pedro Veloso , PhD ‘23 - Assistant Professor of Architecture, U. of Arkansas

Recent MSCD alumni

Michael Hasey (MS ‘23) - Computational Designer at Samsung Research, San Francisco; Anna Henson (MS ‘21) - Assistant Professor of Practice in Emerging Media Arts, U. of Nebraska, Lincoln; Chloe Hong (MS ‘23) - PhD Student at MIT Architecture, Cambridge, MA; Rungchang Kang  (MS ‘21) - Research Engineer, Sensing and ML at Apple AI/ML; Malika Khurana (MS ‘22) - Multimedia and Graphics Editor at the New York Times, NY; Yi-Chin Lee (MS ‘19) - PhD Candidate, Architecture at University of Michigan;  Vincent Mai (MS ‘20) - Studio Design Computation Leader at NBBJ, New York; Willa Yang (MS ‘21) - PhD Student in Computer Science, U. of Chicago

Program Faculty

Joshua D. Bard

Associate Professor & Associate Head for Design Research

Jimmy Wei-Chun Cheng

Visiting Assistant Professor

Dana Cupkova

Professor & MSSD Track Chair

Sinan Goral

Adjunct Faculty

Matthew Huber

Special Faculty

Professor & Head

Kristen Kurland

Teaching Professor

Vernelle A. A. Noel

Lucian and Rita Caste Assistant Professor in Architecture & Situated Computation + Design Lab Director

Paul Pangaro

Visiting Scholar in Computational Design

Admissions Resources

Are you a current student looking for resources? Handbooks, procedures and other information can be found on the Student Resources page .

News + Events

Faculty and staff, selected publications, computation.

Architectural Space in XR: a Case Study at the Monastery of Simonos Petra-  Nikolaos Vlavianos

Growing Islands: Rebuilding Beaches and Protecting Coastlines through Wave Energy - Self Assembly Lab

Of Shape and Touch - Dimitrios Chatzinikolis

Formwork free 3D printed squinch vaults - Alexander (Sandy) Curth

A Machine Learning Model for Understanding How Users Value Designs - Jeremy Bilotti

AR Travel to Aalto House, Aino and Alvar Aalto: Shared Vision , Gallery A4, Tokyo- T. Nagakura and ARC Group 

Discrete-to-Complete-  Myles Sampson

A Proposal for a Digitally Fabricated House in Somerville, MA - Lawrence Sass

Visual Computing I - So Jung Lee

Self-Shaping Mechanisms: Rapid Prototyping of Pneu-Knit Systems - Maryam AlHajri

Networking Knowledge and Experience: An Instrumental System for the Personal Development of Designers - Bowen Lu

Adaptive Pattern Language on Human Behavior via Multi-Action Video Understanding-  Charles Wu

Knit Structure Behavior for Customized Mask Design - Lavender Tessmer

Inala Locke Discipline Group Assistant  [email protected]

The Design and Computation Group inquires into the varied nature and practice of computation in architectural design, and the ways in which design meaning, intentions, and knowledge are constructed through computational thinking, representing, sensing, and making. We focus on the development of innovative computational tools, processes and theories, and the application of these in creative, socially meaningful responses to challenging design problems.

Faculty, research staff, and students work in diverse and mutually supportive areas including: visualization, digital fabrication and construction processes and technologies, shape representation and synthesis, building information modeling (BIM), generative and parametric design, critical studies of digital and information technologies, digital heritage, and software and hardware development of advanced tools for spatial design and analysis. Our aim is to cover the many facets of a rapidly changing and growing area with in-depth, agenda-setting research and teaching.

Our work is informed simultaneously by architectural practice as well as a variety of other disciplinary perspectives including mathematics, computer science, cognitive science, philosophy, anthropology, STS (Science, Technology, and Society), media studies, and art. Students are strongly encouraged to take advantage of the interdisciplinary environment of MIT, and to take subjects and participate in research across different MIT departments to explore and develop their interests. They are expected to acquire both the technical skills and the theoretical and conceptual foundations to rethink and challenge the limits of current design processes and practices, and to consider the social and cultural implications of their positions.

This area of study offers a concentration in the Master of Science in Architecture Studies (SMArchS) program and a doctoral (PhD) program. Please go to the Design and Computation Group's list of Dissertations and Theses to see the work done at the culmination of the degree programs.

See  Graduate Programs  for degree requirements.

Spring 2022 Public Program

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PhD in Computation

The PhD program is broadly conceived around computational ideas as they pertain to the description, generation, and construction of architectural form. Issues range from the mathematical foundations of the discipline to the application and extension of advanced computer technology. The mission of the program is to enhance and enrich design from a computational perspective, with clear implications for practice and teaching.

Faculty, research staff, and students work in diverse but overlapping and mutually supportive areas. Work on shape representation, generative and parametric design is directed at a new computational basis for design. Work on digital modeling and rendering seeks to extend the possibilities of visualizing design ideas and un-built work, as well as to improve architectural design practice where designers and technical collaborators are geographically separated. Work on rapid prototyping and CAD/CAM technologies aims to expand design possibilities through the physical modeling of design ideas, and to revolutionize the construction and building phase of architectural practice.

Research employs computational media for the representation and use of design knowledge. Faculty, research staff, and students associated with the group combine education in architecture and urban design with education in computer graphics, art, mathematics, and other fields.

The minimum residency requirement for the PhD degree is two years and it is expected that most students will take no more than five years to complete the degree.

Faculty Advising

Each student will be assigned a faculty advisor in Computation upon admission. The advisor will consult on the student's initial plan of study and on the choice of subjects in subsequent terms. He or she will assist the student in selecting an advisory committee and subsequently a dissertation committee. Often, but not always, the faculty advisor becomes the dissertation committee chair if the student so desires.

Doctoral Research Opportunity in Computation and Advanced Urbanism The Norman B. Leventhal Center of Advanced Urbanism and Departments of Architecture and Urban Studies and Planning have established a collaborative doctoral-level concentration in Advanced Urbanism. Urbanism is a rapidly growing field that has many branches. At MIT, we speak of Advanced Urbanism as the field which integrates research on urban design, urbanization and urban culture.

The concentration in Advanced Urbanism seeks doctoral applicants (one to two per year) who have: 1) at least one professional design degree (in architecture, landscape architecture, urban design, etc.); 2) research interests in urbanism that would draw upon both ARCH and DUSP faculty advising; and 3) a commitment to engage with the research community at the LCAU and within their home department throughout their time at MIT. Applicants should apply for admission to an existing ARCH or DUSP PhD program and must meet all specific admissions requirements of the respective PhD program. Admissions committees nominate applicants who fit the urbanism program to a joint advanced urbanism admissions committee. The selected applicants are admitted by their home department discipline group (DUSP; AKPIA, BT, Computation, HTC) with financial support and research assistantships from LCAU.

Prospective students with questions pertaining to the doctoral studies in Advanced Urbanism should reach out to their prospective home doctoral program and to LCAU doctoral committee members: Rafi Segal and Brent Ryan. Or to the mailing list [email protected]. See links at top for program-specific information.

The Master of Science in Architecture Studies (SMArchS) is a two-year program of advanced study founded on research and inquiry in architecture as a discipline and as a practice. The program is intended both for students who already have a professional degree in architecture and those interested in advanced non-professional graduate study.

SMArchS in Computation

The Computation Group inquires into the varied nature and practice of computation in architectural design, and the ways in which design meaning, intention, and knowledge are constructed through sensing, thinking, and making computationally. It focuses on the development of innovative computational tools, processes and theories, and applying these in creative, socially meaningful responses to challenging design problems.

Theses and Dissertations

March theses.

Choi, Joshua , web page   … MArch 2014, document title: Democratic Play: Crowd-Sourcing through Games for Architectural Design (Takehiko Nagakura) 

Fisher, Derek  … MArch 1998, document title: Ground Zero (William Mitchell and Andrew Scott) 

Gealy, Rachel  … MArch 2010, document title: Urbanizing the American Dream: Symbiotic Housing for Baltimore (Kent Larson) 

Kwon, Kyoung Eun  … MArch 2004, document title: Filmic Architecture: On Motion Perspective in an Architectural Synthesis (Takehiko Nagakura) 

Li, Dan , web page   … MArch 2016, document title: Fluid Atmospheres: Adaptive Interplay between Natural and Artificial Light Projection (Takehiko Nagakura) 

Liao, Nancy Han  … MArch 2001, document title: Complexly Curvlinear Surfaces in Composite Materials (William Mitchell) 

Nelson, Maggie  … MArch 2011, document title: Re-imagining the Maison Tropicale: a 21st century prefabricated building system inspired by Jean Prouve' (Lawrence Sass) 

Park, Kat  … MArch 2003, document title: Reinterpretation of space in a networked community (William Mitchell and William Porter) 

Park, Sung-o  … MArch 2009, document title: A Design Strategy for Transforming an Old Power Plant into a Cultural Center (Kent Larson) 

Patel, Sayjel Vijay , web page   … MArch 2015, document title: 3-DJ: Sampling As Design (Skylar Tibbits) 

Rosenberg, Alice   … MArch 2010, document title: Planning Ahead -- The Emergence of Clean Energy Technology (Kent Larson) 

Sheehan, Travis , web page   … MArch 2012, document title: The Urban Design of Distributed Energy Resources (Kent Larson and Dennis Frenchman) 

Sun, Meng , web page   … MArch 2017, document title: Cyberspace as a Memory Container (Takehiko Nagakura) 

Tang, Pui Wan Pearl   … MArch 2004, document title: Revealing Expressive Spaces - transformation of a former quarry to a dancers' retreat center (William Porter) 

Willis, Robin C  … MArch 2011, document title: Feather Weights: Rapid Redeployable Structures for Interim Use (Kent Larson) 

Yoo, Hyunjoon , web page   … MArch 1997, document title: Infotecture: Space as Void, Solid, and Activity Information (Takehiko Nagakura) 

Zhang, Xu , web page   … MArch 2017, document title: Conversation On Saving a Historical Community: A Participatory Renewal and Preservation Platform (Takehiko Nagakura) 

SMArchS Theses

Akbarzadeh, Masoud , web page   Assistant Professor, University of Pennsylvania, Philadelphia, PA  … SMArchS 2012, document title: Designing Performative Surfaces: Computational Interpretation of Flow Pattern Drawings (Takehiko Nagakura) 

Aparicio, German , web page   Project Manager, Gehry Technologies, Inc  … SMArchS 2010, document title: Holzbau: Timber Construction and Material Information Exchanges for the Design of Complex Geometrical Structures (Lawrence Sass) 

Araya, Sergio , web page   Professor and Dean, School of Design, Universidad Aldolpho Ibáňez  … SMArchS 2006, document title: Parametric Constructs: Computational Designs for Digital Fabrication (Ann Pendleton-Jullian)  received a PhD from the Massachusetts Institute of Technology 

Arida, Saeed , web page   … SMArchS 2004, document title: Contextualizing Generative Design (Terry Knight) 

Ariza, Ines , web page   … SMArchS 2016, document title: Decoding Details: Integrating Physics of Assembly in Discrete Element Structures (Caitlin Müeller) 

As, Imdat  … SMArchS 2002, document title: Emergent Design: Rethinking of contemporary mosque architecture in light of digital technology (Takehiko Nagakura) 

Bacharidou, Maroula ,  web page   Teaching Fellow, MIT Architecture  ... SMArchS 2018, document title: Active prototyping : a computational framework for designing while making ( Terry Knight ) 

Bernal, Guillermo , web page   Physical Computing Designer, MIT Mobile Experience Laboratory  … SMArchS 2014, document title: Learning from Master's Muscles: EMG-Based Bio-Feedback Tool for Augmenting Manual Fabrication and Crafting (Takehiko Nagakura and Federico Casalegno) 

Blain, Johanne  Personal Care Attendant, Cerebral Palsy of Massachusetts  … SMArchS 2005, document title: Translations of Culture and Identity: A Study of Internet Use In the Haitian Community (William Mitchell) 

Botha, Marcel , web page   Partner , Mutopo  … SMArchS 2006, document title: Customized Digital Manufacturing: Concept to Construction Methods across Varying Product Scales (Lawrence Sass) 

Can, Eddie , web page   Lead Designer, Zaha Hadid Architects  … SMArchS 2003, document title: Choreographic Assemblages: An Archaeology of Movement and Space (Stanford Anderson and Joan Jonas) 

Cardoso Llach, Daniel , web page   Assistant Professor, Carnegie Mellon University  … SMArchS 2007, document title: A Generative Grammar for 2D Manufacturing of 3D Objects (Lawrence Sass and Terry Knight)  received a PhD from the Massachusetts Institute of Technology 

Carlsson, Moa , web page   PhD Student, Massachustts Institute of Technology  … SMArchS 2013, document title: Stratified, Destratified, and Hybrid GIS: Organizing a Cross-Disciplinary Territory for Design (George Stiny) 

Charles, Patrick P. , web page   Associate Professor, Roger Williams University, Bristol, RI  … SMArchS 2000, document title: Perspectives on the Role of the Body in the Design Process: Observations from an Experiment (William Porter) 

Chatzitsakyris, Panagiotis , web page   Principal, 0.27 Architects  … SMArchS 2005, document title: The Man With The Movie Camera: An event driven approach to architectural design (Takehiko Nagakura) 

Chen, Shouheng  Principal, Shouheng Design and Technology, Toronto, Canada  … SMArchS 2006, document title: Embedding Methods for Massing and Detail in Computer Generated Design of Skyscrapers -- Exploration through Examples of Cesar Pelli's Projects (Takehiko Nagakura) 

Chen, Xiaoji  Interaction Designer II, Xbox  … SMArchS 2011, document title: Seeing Differently: Cartography for Subjective Maps Based on Dynamic Urban Data (Takehiko Nagakura and Carlo Ratti) 

Chen, Naichun , web page   … SMArchS 2016, document title: Urban Data Mining: Social Media Data Analysis as a Complementary Tool for Urban Design (Kent Larson and Takehiko Nagakura) 

Cheng, Chin-Yi , web page   Research Scientist, Autodesk  … SMArchS 2017, document title: Interactive Design Process Based on Augmented Intelligence: A Framework and Toolkit for Designers to Interact and Collaborate with AI Alogritms (Takehiko Nagakura) 

Cheung, Kenneth , web page   Research Scientist, NASA Ames Research Center  … SMArchS 2007, document title: Understanding Behavior with Ubiquitous Computing for Architectural Design Tools (Kent Larson) 

Chiu, Shih-Sang   … SMArchS 2009, document title: Trig'r: Collective Perception of Architecture (Terry Knight) 

Cho, Min-Jung  … SMArchS 2003, document title: Workspace in Transition: Rethinking Workspace through the Design of Reconfigurable Work Surfaces (Takehiko Nagakura) 

Choi, Joshua , web page   … SMArchS 2016, document title: Merging Three Spaces: Designing User Interface (UI) in Virtual Reality (VR) for Spatial Design (Takehiko Nagakura) 

Choma, Joseph , web page   Assistant Professor, Clemson University  … SMArchS 2011, document title: A Pedagogical Guide into Trigonometric Transformations (George Stiny) 

Corem, Yaniv , web page   (Mis)Chief Design Officer, YCXD, Haifa, Israel  … SMArchS 2010, document title: UDesign Toward a User-centered Architecture (Kent Larson and Una-May O'Reilly) 

Crichfield, Heather  Partner, Fuster + Architects, PSC, Puerto Rico  … SMArchS 2000, document title: Spatial Manifestations in Pluralist Cultures: The Case of the Isleta de San Juan (William Porter and Sibel Bozdoğan) 

De Biswas, Kaustuv , web page   Co-Founder, VibrantData  … SMArchS 2006, document title: A Computational Model of Visual Interpretation (Terry Knight) 

Demchak, Gregory  Director of Product Management, Synchro Software Ltd  … SMArchS 2000, document title: Towards a Post-Industrial Architecture: Design and Construction of Houses for the Information Age (William Mitchell) 

Dessi-Olive, Jonathan , web page   … SMArchS 2017, document title: Computing with Matter, Shapes and Forces: Toward Material and Structural Primacy in Architecture (George Stiny and John Ochsendorf) 

Dimas, Anastasios  Senior BIM Manager, iTech Management Consultancy, UAE  … SMArchS 2009, document title: D-work Innovation: Where, When and in Which Social Context Do Good Ideas Evolve in the Distributed Work Environment of Knowledge Workers? (Kent Larson) 

Dritsas, Stylianos , web page   Assistant Professor, Singapore University of Technology and Design  … SMArchS 2004, document title: Design Operators (William Porter) 

Duarte, José Pinto , web page   Associate Professor, Technical University of Lisbon  … SMArchS 1993, document title: Order and Diversity within a Modular System for Housing: A Computational Approach (William Mitchell) 

Dutta, Projjal  Director, Sustainability Initiatives, Metropolitan Transportation Authority, NYC  … SMArchS 1997, document title: Moksha: Design of Disposable Objects for Second Uses as Construction Components (William Mitchell) 

El-Khaldi, Maher  PhD Candidate, Simon University, British Columbia, Canada  … SMArchS 2007, document title: Mapping Boundaries of Generative Systems for Design Synthesis (George Stiny)  received a MS.Arch from Georgia Institute of Technology 

El-Zanfaly, Dina , web page   PhD Candidate, Massachusetts Institute of Technology  … SMArchS 2011, document title: Active Shapes: Introducing Guidelines for Designing Kinetic Architectural Structures (Terry Knight) 

Elbaum, Meredith   President, The Elbaum Group  … SMArchS 2003, document title: BridgeGreen: Bridging the Disconnect Between Design Professionals and Resources for Environmentally, Socially, and Economically Responsive Architecture (John Fernandez) 

Ewing, Phillip , web page   … SMArchS 2014, document title: Interactive Phototherapy: Integrating Photomedicine into Interactive Architecture (Kent Larson) 

Fan, Janet  Director, Workplace Strategy, CBRE, Beijing City, China  … SMArchS 2003, document title: Learning Environment Assessment (William Porter) 

Fasoulaki, Eleftheria  Architect Engineer, ELEF Architects  … SMArchS 2008, document title: Integrated Design: A Generative Multi-Performative Design Approach (Terry Knight) 

Feng, Keru , web page   Co-President, ecotectour, Suttgart, Germany  … SMArchS 2004, document title: The Ethos in The Form Making of Grand Projects in Contemporary Beijing City (William Porter) 

Fox, Michael A. , web page   Principal, Fox Lin Inc, Los Angeles, CA  … SMArchS 1996, document title: Novel Affordances of Computation to the Design Processes of Kinetic Structures (Takehiko Nagakura) 

Gane, Victor  CEO, AestheticLink, Menlo Park, CA  … SMArchS 2004, document title: Parametric Design: A Paradigm Shift? (William Porter)  received a PhD from Stanford University 

Gao, Yu , web page   Real Estate Salesperson, Daniel Gale Sotheby's International Realty  … SMArchS 2013, document title: Self-Organized Collaboration: A Self-Evolving Online Collaborative Production Model for Social Enterprise Grassroots Startups (George Stiny) 

Gazit, Merav , web page   … SMArchS 2016, document title: Living Matter: Biomaterials for Design and Architecture (Terry Knight) 

Goldklang, Shaul , web page   Project Manager, Adam America Real Estate  … SMArchS 2013, document title: Mass-Customization in Commercial Real Estate: How the Aviation Industry Can Help Us Create Beautiful Buildings that Add Value (George Stiny) 

Gore Chandorkar, Tripti  Manager in the Design & Interactive Services, Sapient Corporation  … SMArchS 2005, document title: Users, Technology and Space in Libraries in the Digital Age (William Mitchell) 

Griffith, Kenfield , web page   CEO, mSurvey  … SMArchS 2006, document title: Design Computing of Complex-Curved Geometry using Digital Fabrication Methods (Lawrence Sass)  received a PhD from the Massachusetts Institute of Technology 

Gun, Onur Yuce , web page   Computational Geometry Specialist, Kohn Pedersen Fox Associates, New York  … SMArchS 2006, document title: Narration of Light: Computational Tools for Framing the Tonal Imagination (Takehiko Nagakura) 

Gunji, Akira  , Fogarty Finger Architecture PLLC  … SMArchS 2005, document title: Inferring Design Environment (IDE): '(Re)shaping a Design Pattern as a Learning Process' (Terry Knight) 

He, Shan , web page   Software Engineer, Data Visualization, Uber, San Francisco, CA  … SMArchS 2014, document title: Mapping Urban Perception: How Do We Know Where We Are? (Takehiko Nagakura and Carlo Ratti) 

Hoang, Han Mai , web page   General Director, The BIM Factory, Vietnam  … SMArchS 2005, document title: Automated Construction Technologies: Analyses and Future Development Strategies (Lawrence Sass) 

Hovsepian, Sarah , web page   Director, FABWorks, University of California, Irvine  … SMArchS 2012, document title: Digital Material Skins: For Reversible Reusable Pressure Vessels (Terry Knight and Neil Gershenfeld) 

Ingram, Josh , web page   Software Developer, Objecutive, San Antonio, TX  … SMArchS 2012, document title: [A]Sorted Selection: Improving Building Performance and Diversity Using a New Form of Interactive Evolutionary Algorithm (Terry Knight and Una-May O'Reilly) 

Kalenja, Adela, web page   Project Architect, Eco Offsite, Palo Alto, CA  … SMArchS 2010, document title: The Hard Hat and the Hand-Held: Communication with Hand-Held Computing in the Construction Process (Terry Knight and Takehiko Nagakura) 

Kamath, Ayodh , web page   Assistant Professor, Lawrence Technological University, Southfield, MI  … SMArchS 2009, document title: Integrating Digital Design and Fabrication with Craft Production (Terry Knight) 

Kardasis, Ari   Partner, Space Inch, Brooklyn, NY  … SMArchS 2011, document title: The Soft Grid (Terry Knight) 

Kashyap, Sameer  Director, Parametric Design, Ghery Technologies, Los Angeles, CA  … SMArchS 2004, document title: Digital Making: Exploring Design with Computer Controlled Fabrication (William Porter and Lawrence Sass) 

Kassner, Moritz , web page   Chief Executive Officer and Partner, Pupil Labs, Germany  … SMArchS 2012, document title: PUPIL: Constructing the Space of Visual Attention (Terry Knight and Patrick Winston) 

Keel, Paul  Research Scientist, Collaborative Sense-Making, Massachusetts Institute of Technology  … SMArchS 1997, document title: Process and Relation Analysis: Capturing Architectural Thought (William Porter) 

Kilian, Axel , web page   Assistant Professor, Princeton University  … SMArchS 2000, document title: Defining Digital Space Through a Visual Language (William Mitchell) a PhD from the Massachusetts Institute of Technology 

Kim, Simon , web page   Assistant Professor, University of Pennsylvania  … SMArchS 2008, document title: I/O: Input/Output; Design Stategies: An inquiry into thinking/making (William Mitchell) 

Kirschner, Michael , web page    AutoDesk  … SMArchS 2015, document title: Visual Programming in Three Dimensions: Visual Representations of Computational Mental Models (George Stiny) 

Kotsopoulos, Sotirios , web page   Studio Instructor, NuVu Studio, Cambridge, MA  … SMArchS 2000, document title: Point, Line, Plane: Basic Elements of Formal Composition in Shape Computation and Bauhaus Theories. (Terry Knight) 

received a PhD from the Massachusetts Institute of Technology 

Kovidvisith, Kalaya  Director, FabCafe, Thailand  … SMArchS 2007, document title: Open Source Alliance Ecology: The Internet Framework for Consumer Driven Participative Design (Kent Larson) 

Lee, Sophia Juhee  Project Manager, University of Southern California  … SMArchS 2003, document title: Wireless Bridges: The Laptop Experience in Learning Environment (William Porter and Francis Duffy) 

Leung, Victor Pok Yin , web page   … SMArchS 2016, document title: Put it Together: Animating Machine Assembly Instructions for Novices (Terry Knight) 

Li, Si  PhD Student, Georgia Institute of Technology  … SMArchS 2008, document title: Data Structures for Context Responsive Modeling in Architecture (William Mitchell) 

Liapi, Marianthi , web page   Transformable Intelligence Environments Lab Research Director, Technical University of Crete  … SMArchS 2005, document title: Spatial Diagnosis and Media Treatments (Terry Knight) 

Litman-Cleper, Julia , web page   … SMArchS 2016, document title: Situated Mapping: Augmented-Reality Clay and Adaptive Interfacing (Terry Knight and Ruth Rosenholtz) 

Liu, Yuchen  Senior Architect, Adrian Smith + Gordon Gill Architecture  … SMArchS 2009, document title: Robotic Design Construction: Digital Fabrication Strategies for Freeform Masonry Casting and Mobile Assembly (Lawrence Sass) 

Lobel, Joshua , web page   Lead Engineer, CW Keller & Associates  … SMArchS 2008, document title: Building Information: Means and Methods of Communication in Design and Construction (George Stiny) 

Lostritto, Carl , web page   Assistant Professor, Rhode Island School of Design  … SMArchS 2012, document title: Computing Drawing: Programming a Vintage Pen Plotter (George Stiny) 

Loukissas, Yanni , web page   Assistant Professor, Georgia Institute of Technology  … SMArchS 2003, document title: Rulebuilding: Exploring Design Worlds Through End-user Programming (William Porter and Lawrence Sass)  received a PhD from the Massachusetts Institute of Technology 

Maclain, James  … SMArchS 2007, document title: Design - Make: the Translation of Design Iintention to Fabrication (Lawrence Sass) 

Mairopoulos, Dimitrios , web page   Research Specialist, MIT Self-Assembly Lab  … SMArchS 2015, document title: M-Cell Assembly (Terry Knight and Skylar Tibbits) 

Mburu, Fred  , Oracle  … SMArchS 2001, document title: Context Modeling : Extending the parametric object model with design context (Wiliam Porter and Takehiko Nagakura) 

McGill, Miranda , web page   UX Designer, Yorktown Heights, NY  … SMArchS 2001, document title: A Visual Approach for Exploring Computational Design (Terry Knight) 

McKnelly, Carrie , web page   Howard E. LeFevre ’29 Emerging Practitioner Fellow, Ohio State University  … SMArchS 2015, document title: Knitting Behavior: A material-centric design process (Lawrence Sass) 

Mendoza, Rolando  Executive Director of Project Integration, Walt Disney Imagineering Shanghai  … SMArchS 2001, document title: Mapping/Forces/Constructing Context: an Operatic Proposal for Boston (Fernando Domeyko) 

Mogas-Soldevila, Laia , web page   Architect, Researcher, Mediated Matter Lab, MIT  … SMArchS 2013, document title: New Design Companions Opening Up the Process Through Self-Made Computation (George Stiny)  received a Master of Science in Media Arts and Sciences from MIT 

Moon, JunSik  , Seoul National University, Korea  … SMArchS 2007, document title: Shape Grammar for Mies Van Der Rohe's High-rise Apartment (Takehiko Nagakura) 

Mutlu, Murat , web page   Principal, International Office of Architects, NYC  … SMArchS 2010, document title: Generative Morphologies of Architectural Organization in Matter Force Field (Meejin Yoon and Nader Tehrani) 

Narahara, Taro   Assistant Professor, New Jersey Institute of Technology  … SMArchS 2007, document title: The Space Re-Actor: Walking a Synthetic Man through Architectural Space (Takehiko Nagakura) 

Noel, Vernelle , web page   PhD Candidate, Pennsylvania State University  … SMArchS 2013, document title: Trinidad Carnival: Improving Design Through Computation and Digital Technology (Azra Aksamija) 

Nunez, Joseph  Intern Architect, DLR Group, Sacramento, CA  … SMArchS 2010, document title: Prefab the FabLab: Rethinking the Habitability of a Fabrication Lab by Including Fixture-Based Components (Lawrence Sass) 

Ob'yedkova, Ekaterina , web page   Conversation Engineer, Catalia Health, San Francisco, CA  … SMArchS 2014, document title: Multimodal Environmental Interfaces: Discrete and Continuous Changes of Form, Light, and Color Using Natural Modes of Expression (Takehiko Nagakura) 

Özkâr, Mine , web page   Associate Professor, Istanbul Technical University  … SMArchS 1999, document title: Envisioning Creative Space (William Porter and John Rajchman)  received a PhD from the Massachusetts Institute of Technology 

Pantazi, Magdalini-Eleni  … SMArchS 2008, document title: Dissecting Design: Exploring the Role of Rules in the Design Process (George Stiny) 

Papadopoulou, Athina , web page   PhD Student, Massachusetts Institute of Technology  … SMArchS 2014, document title: Perceptual Prototypes: Towards a Sensory Pedagogy of Space (Terry Knight) 

Papanikolaou, Dimitris , web page   DDes Candidate, Harvard University  … SMArchS 2008, document title: Attribute Process Methodology: Feasibility Assessment of Digital Fabrication Production Systems for Planar Part Assemblies Using Network Analysis and System Dynamics (William Mitchell)  received a MS in Media Arts and Sciences, MIT, and Ddes Harvard University 

Park, Hyoung-June , web page   Associate Professor, University of Hawaii at Manoa  … SMArchS 1997, document title: Formalization, Data Abstraction, and Communication (George Stiny) 

Patera, William , web page   Managing Partner, Pupil Labs, Germany  … SMArchS 2012, document title: PUPIL: Constructing the Space of Visual Attention (Terry Knight and Patrick Winston) 

Phillips, M. Giles , web page   Chief Product Designer, Constant Contact  … SMArchS 2007, document title: Design By Searching: A System for Creating and Evaluating Complex Architectural Assemblies (Kent Larson) 

Pinochet, Diego , web page   Associate Professor, Universidad Adolfo Ibañez, Santiago, Chile  … SMArchS 2015, document title: Making gestures: design and fabrication through real time human computer interaction (Terry Knight) 

Plewe, Thoma s  President, NeverCenter, Ltd Co., Salt Lake City, UT  … SMArchS 2008, document title: Besting the Tract Home: A Software-Based Bricolage Approach to Affordable Custom Housing (Terry Knight) 

Press, B. Joseph , web page   Director, Deloitte Digital, Switerland  … SMArchS 1997, document title: Emergent Pedagogies in Design Research Education (William Porter)  received a PhD from the Massachusetts Institute of Technology 

Raber, Christianna , web page   Principal, Christianna Raber Sustainable Architectural Design Services  … SMArchS 2004, document title: The Story of the HOUSE I Lite System : 'Less calories, more taste, your site, your vision... ' (Andrew Scott) 

Reichert, Steffen , web page   D.Eng Candidate, University of Stuttgart  … SMArchS 2010, document title: Reverse Engineering Nature: Design Principles for Flexible Protection Inspired by Ancient Fish Armor of Polypteridae (Terry Knight and Christine Ortiz) 

Rosello, Oscar , web page   … SMArchS 2017, document title: NeverMind: An Interface for Human Memory Augmentation (Terry Knight) 

Rosenberg, Daniel , web page   … SMArchS 2009, document title: Designing for Uncertainty: Novel Shapes and Behaviors using Scissor-Pair Transformable Structures (Terry Knight)  received a PhD from the Massachusetts Institute of Technology 

Rothenberg, John   Founding partner , Sosolimited, Boston, MA and San Diego, CA  … SMArchS 2007, document title: Indeterminate Liberal Form: Public Space in Sprawl (Terry Knight) 

Saad, Rita  … SMArchS 2004, document title: Parametric Tools and Digital Fabrication for the Design of Luminous Ceilings (Lawrence Sass and William Porter) 

Sandoval Olascoaga, Carlos , web page   … SMArchS 2016, document title: Painting with Data: From a Computational History of Urban Models to an Alternative Urban Computing (George Stiny) 

Sass, Lawrence , web page   Associate Professor, Massachusetts Institute of Technology  … SMArchS 1994, document title: Precedents in African American Architecture (William Porter) 

Seely, Jennifer , web page   Architect, Norwood Architecture  … SMArchS 2004, document title: Digital Fabrication in the Architectural Design Process (William Porter and Lawrence Sass) 

Senske, Nicholas , web page   Assistant Professor, Iowa State University  … SMArchS 2005, document title: Fear of Code: An Approach to Integrating Computation with Architectural Design (William Porter) 

Sharif, Shani , web page   Intern Software Developer, Autodesk in Atlanta, GA  … SMArchS 2010, document title: The Confluence of Digital Design/Fabrication and Biological Principles: Systematic Knowledge Transfer for the Development of Integrated Architectural Systems (Terry Knight and Lawrence Sass) 

Sheardwright, Ian  Software Developer, Gensler, Hartford, CT  … SMArchS 2002, document title: Three-Dimensional Sketch Tool (Wiliam Porter) 

Sich, Mark  , Shell Global Solutions, New Orleans, LA  … SMArchS 1997, document title: Articulating Architectural Design through Computational Media (William Mitchell) 

Simondetti, Alvise  , ARUP  … SMArchS 1997, document title: Rapid Prototyping in Early Stages of Architectural Design (William Mitchell) 

Sinisterra, Maria  Principal, Ainoa Studio  … SMArchS 2004, document title: Rethinking Emergency Habitats For Refugees: Balancing Material Innovation And Culture (Reinhard Goethert and William Porter) 

Smithwick, Daniel , web page   PhD Candidate, Massachusetts Institute of Technology  … SMArchS 2009, document title: Architectural Design 2.0: An Online Platform for the Mass Customization of Architectural Structures (Lawrence Sass) 

Soares, Gonçalo Ducla , web page   Project Manager, Arte Charpentier Architectes, Paris, France  … SMArchS 2004, document title: Audio-Visual Frameworks for Design Process Representation (William Porter) 

Soto Ogueta, Carolina , web page   Executive Director, BIM Planning, CORFO (Chilean Economic Development Agency)  … SMArchS 2012, document title: User Innovation in Digital Design and Construction: Dialectical Relations Between Standard BIM Tools and Specific User Requirements (Takehiko Nagakura) 

Sun, Xiaohua  Professor, College of Design and Innovation, Tongji University  … SMArchS 2002, document title: Using Space to Think (William Porter)  received a PhD from the Massachusetts Institute of Technology 

Sung, Woong Ki , web page   PhD Student, Massachusetts Institute of Technology  … SMArchS 2013, document title: Sketching In 3D: Towards a Fluid Space for Mind and Body (Takehiko Nagakura) 

Tai, Alan Song-Ching , web page   Associate, Front, Inc  … SMArchS 2012, document title: Design for Assembly: A Computational Approach to Construct Interlocking Wooden Frames (Takehiko Nagakura) 

Tibbits, Skylar , web page   Research Scientist and Lecturer, Massachusetts Institute of Technology  … SMArchS 2010, document title: Logic Matter: Digital Logic as Heuristics for Physical Self-Guided-Assembly (Terry Knight and Patrick Winston) 

Tichenor, James  LAB Co-chief, Rockwell Group  … SMArchS 2004, document title: Electronically Modulated Materials: Effects And Context (William Porter) 

Toulkeridou, Varvara  Research Engineer, Autodesk  … SMArchS 2010, document title: Dynamic Descriptions: Steps Towards a Design Machine (George Stiny) 

Tsakonas, Konstantinos  … SMArchS 2008, document title: Measuring the Value of Workspace Architectural Design: Construction of the Workspace Communication Suitability Index (WOCSIT) (William Mitchell) 

Tsamis, Alexandros , web page   Associate Professor, Universidad Adolfo Ibañez, Santiago, Chile  … SMArchS 2004, document title: Digital Graft: towards a non-homogeneous materiality (Mark Goulthorpe and Ann Pendleton-Julian)  received a PhD from the Massachusetts Institute of Technology 

Turakhia, Dishita , web page   … SMArchS 2017, document title: Thirteen Ways of Looking - A Theoretical Inquiry into Computational Creative Thinking: Thoughts as Shapes, Ideas as Spatial Relations and Creative Thinking as Shape Grammar (George Stiny) 

Turgeman, Yaniv Jacob , web page   CEO, R&D Lead, EveryBiome  … SMArchS 2015, document title: Microbial Mediations: Cyber-Biological Extensions of Human Sensitivity to Natural and Made Ecologies (Terry Knight and Eric Alm) 

Vairani, Franco  Principal, Squared Design Lab, Los Angeles, CA  … SMArchS 2001, document title: Behind the Screen: on the perception of computer-generated architectural representations (Takehiko Nagakura) 

Vardouli, Theodora , web page   Assistant Professor, McGill University  … SMArchS 2012, document title: Design-for-Empowerment-for-Design: Computational Structures for Design Democratization (George Stiny) 

Verbeeck, Kenny  Engineer Team Leader, Ney & Partners Structural Engineering, Brussels, Belgium  … SMArchS 2006, document title: Randomness as a Generative Principle in Art and Architecture (George Stiny) 

Villalon, Rachelle , web page   , Hosta Labs  … SMArchS 2008, document title: Reasonable Computing for Architectural Fabrication (Lawrence Sass) 

Watabe, Mark  Software Engineer, Twitter  … SMArchS 2010, document title: The Shape of Digital Content: A Computing Language Based on Gibson's Ecological Approach to Visual Perception and the Theory of Shape Grammars (George Stiny) 

Whiting, Emily , web page   Assistant Professor, Dartmouth College  … SMArchS 2006, document title: Geometric, Topological and Semantic Analysis of Multi-Building Floor Plan Data (Takehiko Nagakura and Seth Teller) 

Wiggins, Glenn   Academic Administrator, Greater Boston Area  … SMArchS 1989, document title: Methodology in Architectural Design (Donald Schon)  received a PhD from the Massachusetts Institute of Technology 

Wortmann, Thomas , web page   Studio Instructor, Singapore University of Technology and Design  … SMArchS 2013, document title: Representing Shapes as Graphs: A Feasible Approach for the Computer Implementation of Parametric Visual Calculating (George Stiny) 

Wu, Qiong (Julia)  … SMArchS 2003, document title: Bracket Study: Textual, Computation, Digital (Terry Knight) 

Yang, Lin  Architectural Designer, KlingStubbins  … SMArchS 2009, document title: BIM Game: A "Serious Game" to Educate Non-experts about Energy-related Design and Living (Kent Larson) 

Yeh, Bryant , web page   Head Designer and Technical Chief, JoT House, Inc.  … SMArchS 1998, document title: Kinetic Wall: An Exploration into Flexible Structure (Takehiko Nagakura and William Mitchell) 

Yi, Lu  … SMArchS 2008, document title: A New Approach in Data Visualization to Integrate Time and Space Variability of Daylighting in the Design Process (Marilyne Andersen and Takehiko Nagakura) 

Yu, Huei-Sheng  … SMArchS 2009, document title: Parametric Architecture: Performative/Responsive Assembly components (Takehiko Nagakura) 

Zaman, C̦ağri , web page   PhD Student, Massachusetts Institute of Technology  … SMArchS 2014, document title: Hallucination Machine: A Body Centric Model of Space Perception (Terry Knight and Patrick H. Winston) 

Zolotovsky, Katia , web page   PhD Student, Massachusetts Institute of Technology  … SMArchS 2012, document title: Bioconstructs: Methods for Bio-Inspired and Bio-Fabricated Design (Terry Knight and Christine Ortiz) 

Zulas Castellanos, Alejandro  Architect, Stantec Architecture  … SMArchS 2004, document title: Adaptable Architecture: A Computational Exploration Into Responsive Design Systems (Terry Knight) 

PhD Dissertations

Alfaris, Anas  Assistant Professor, King Abdulaziz City for Science and Technology, Riyadh Saudi Arabia  … PhD 2009, document title: Emergence through Conflict: The Multi-Disciplinary Design System (MDDS) (William Mitchell) 

Araya, Sergio , web page   Professor and Dean, School of Design, Universidad Aldolpho Ibáňez  … PhD 2011, document title: Performative Architecture (George Stiny) 

Arida, Saeed , web page   Chief Excitement Officer and Founder, NuVu  … PhD 2011, document title: More Seeing in Learning (George Stiny) 

Arpak, Asli , web page   … PhD 2016, document title: Seeing as Aesthetic Experience and Creative Action: Visual Practices with Shape Grammars in Design Education (George Stiny) 

Barrios, Carlos , web page   Assistant Professor, Clemson University  … PhD 2006, document title: Design Procedures: A Computational Framework for Parametric Design and Complex Shapes in Architecture (William Mitchell) 

Cardoso Llach, Daniel , web page   Assistant Professor, Carnegie Mellon University  … PhD 2012, document title: Builders of the Vision: Technology and the Imagination of Design (Terry Knight) 

Celani, Gabriela , web page   Associate Professor, University of Campinas, Brazil  … PhD 2002, document title: Beyond Analysis and Representation in CAD: A New Computational Approach to Design Education (William Mitchell and Terry Knight) 

Colakoglu, Birgul , web page   Professor, Yildiz Technical University  … PhD 2001, document title: Design by Grammar: Algorithmic Design in an Architectural Context (George Stiny) 

Davis, Felecia A. , web page   Assistant Professor, Pennsylvannia State University  … PhD 2017, document title: Softbuilt: Computational Textiles and Augmenting Space Through Emotion (Terry Knight) 

Duarte, José Pinto , web page   Associate Professor, Technical University of Lisbon  … PhD 2001, document title: Customizing Mass Housing: A Discursive Grammar for Siza's Malagueira Houses (William Mitchell) 

Griffith, Kenfield , web page   CEO, mSurvey  … PhD 2012, document title: Information to Iteration: Using Information and Communication Technologies [ICT] in Design for Remote Regions (George Stiny) 

Gun, Onur Yuce , web page   … PhD 2016, document title: A Place for Computing Visual Meaning: The Broadened Drawing-Scape (George Stiny) 

Ham, Derek , web page   Assistant Professor of Graphic Design, North Carolina State University  … PhD 2015, document title: Playful Calculation: Tangible Coding for Visual Calculation (George Stiny) 

Intrachooto, Singh , web page   Assistant Professor and Head of the Creative Center for Eco-Design, Kasetsart University , Bangkok, Thailand  … PhD 2002, document title: Technological Innovation in Architecture: Effective Practices for Energy Efficient Implementation (William Porter and Andrew Scott) 

Joachim, Mitchell , web page   Associate Professor, New York University  … PhD 2006, document title: Ecotransology: Integrated Design for Urban Mobility (William Mitchell) 

Keel, Paul  Research Scientist, Collaborative Sense-Making, Massachusetts Institute of Technology  … PhD 2004, document title: Knowledge Trading: Computational Support for Individual and Collaborative Sense-Making Activities (William Porter) 

Kilian, Axel , web page   Assistant Professor, Princeton University  … PhD 2006, document title: Design Exploration through Bidirectional Modeling of Constraints (Takehiko Nagakura) 

Koschitz, Duks , web page   Assistant Professor, Pratt Institute, New York, NY  … PhD 2014, document title: Computational Design with Curved Creases: David Huffman's Approach to Paperfolding (Terry Knight and Erik Demaine) 

Kotsopoulos, Sotirios , web page   Studio Instructor, NuVu Studio, Cambridge, MA  … PhD 2005, document title: Constructing Design Concepts: A Computational Approach to the Synthesis of Architectural Form (Terry Knight and George Stiny) 

Li, Andrew I-kang , web page   Associate Professor, Kyoto Institute of Technology  … PhD 2001, document title: A Shape Grammar for Teaching the Architectural Style of The Yingzao Fashi (George Stiny) 

Liew, Haldane  … PhD 2004, document title: SGML: A Meta-Language for Shape Grammar (Takehiko Nagakura) 

Loukissas, Yanni , web page   Assistant Professor, Georgia Institute of Technology  … PhD 2008, document title: Conceptions of Design in a Culture of Simulation (William Porter) 

Martino, Jacquelyn , web page   Researcher, IBM, Yorktown Heights, NY  … PhD 2006, document title: The Immediacy of the Artist's Mark in Shape Computation: From Visualization to Representation (George Stiny and Terry Knight) 

Monks, Michael  Software Engineer, BOSE Corporation  … PhD 1999, document title: Audioptimization: Global-Based Acoustic Design (Julie Dorsey) 

Mota Toledo, Selene , web page   Senior Research Engineer, Samsung Think Tank Team  … PhD 2014, document title: Scalable Recognition of Human Activities for Pervasive Applications in Natural Environments (Kent Larson) 

Muslimin, Rizal , web page   Lecturer, University of Sydney, Australia  … PhD 2014, document title: EthnoComputation: On Weaving Grammars for Architectural Design (Terry Knight) 

Nikolovska, Lira , web page   Senior User Experience Architect, Autodesk  … PhD 2006, document title: Poetics of Furntiture: Augmenting Furniture with Technologies (Terry Knight) 

Oh, Byong Mok  Vice President of Service Strategy, Samsung Electronics  … PhD 2002, document title: A System for Image-based Modeling and Photo Editing (Julie Dorsey) 

Oxman, Neri , web page   Associate Professor, Massachusetts Institute of Technology  … PhD 2010, document title: Material-based Design Computation (William Mitchell) 

Özkâr, Mine , web page   Associate Professor, Istanbul Technical University  … PhD 2004, document title: Uncertainties of Reason: Pragmatist Plurality in Basic Design Education (George Stiny) 

Park, Juhong , web page   Assistant Professor, University of Miami  … PhD 2015, document title: Synthetic Tutor: Profiling Students and Mass-Customizing Learning Processes Dynamically in Design Scripting Education (Takehiko Nagakura) 

Press, B. Joseph , web page   … PhD 1999, document title: Building Community: Design in the Organizational Mind (William Porter) 

Rocha, Altino , web page   Assistant Professor, University of Èvora, Portugal  … PhD 2004, document title: Architecture Theory 1960-1980: Emergence of a Computational Perspective (William Mitchell) 

Romao, Luis , web page   Assistant Professor, Technical University of Lisbon, Portugal  … PhD 2005, document title: A Study of Illegal Housing of Lisbon Built in 1974 to 1984: From Description to Computation (William Mitchell and George Stiny) 

Rosenberg, Daniel , web page   … PhD 2015, document title: Transformational Design: A Mindful Practice for Experience-Driven Design (George Stiny) 

Sass, Lawrence , web page   Associate Professor, Massachusetts Institute of Technology  … PhD 2000, document title: Reconstructing Palladio's Villas: An Analysis of Palladio's Villa Design and Construction Process (William Mitchell) 

Shamonsky, Dorothy , web page   Director of UI/UX Research and Development, Integrated Computer Solutions  … PhD 2003, document title: Tactile, Spatial Interfaces for Computer-Aided Design: Superimposing Physical Media and Computation (William Mitchell) 

Shelden, Dennis , web page   Chief Technology Officer, Gehry Technologies  … PhD 2002, document title: Digital Surface Representation and the Constructibility of Gehry's Architecture (William Mitchell) 

Smithwick, Daniel , web page   … PhD 2016, document title: Physical Design Cognition: An Analytical Study of Exploratory Model Making to Inform Creative Robotic Interaction (Lawrence Sass) 

Smyth, Evan  Staff Software Architect, DreamWorks Animation  … PhD 2001, document title: Designing Aesthetically Pleasing Freeform Surfaces in a Computer Enviroment (William Mitchell) 

Sun, Xiaohua  Professor, College of Design and Innovation, Tongji University  … PhD 2007, document title: A Study of Temporal Visual Composition (William Porter) 

Telhan, Orkan , web page   Associate Professor, University of Pennsylvania, Philadelphia, PA  … PhD 2013, document title: The Living Commons: A Spatial Theory for Biological Design (George Stiny) 

Thompson, Maria  Interim Chief Technical Officer, Photic Planning & Design  … PhD 2007, document title: Psychophysical Evaluations of Modulated Color Rendering for Engergy Performance of LED-based Architectural Lighting (Terry Knight and Una-May O'Reilly) 

Tolba, Osama , web page   Associate Professor, Arab Academy for Science & Technology, Heliopolis, Egypt  … PhD 2001, document title: A Projective Approach to Computer-Aided Drawing (Julie Dorsey and Leonard McMillan) 

Tsamis, Alexandros , web page   Associate Professor, Universidad Adolfo Ibañez, Santiago, Chile  … PhD 2012, document title: Software Tectonics (George Stiny) 

Upitis, Alise  Assistant Curator, MIT List Visual Arts Center  … PhD 2008, document title: Nature Normative: The Design Methods Movement, 1944-1967 (Terry Knight) 

Vairani, Franco  Principal, Squared Design Lab, Los Angeles, CA  … PhD 2009, document title: bitCar Design Concept for a Collapsible Stackable City Car (William Mitchell) 

Vardouli, Theodora , web page   Assistant Professor, McGill University  … PhD 2017, document title: Graphing Theory: New Mathematics, Design, and the Participatory Turn (George Stiny) 

Wiggins, Glenn   Academic Administrator, Greater Boston Area  … PhD 1993, document title: Architectural Drawing as Designing and Creating: A Constructionist Perspective (Donald Schon and William Porter) 

Yakeley, Megan  … PhD 2000, document title: Digitally Mediated Design: Using Computer Programming to Develop a Personal Design Process (William Mitchell) 

Yee, Susan  Independent Architecture & Planning Professional, San Diego, CA area  … PhD 2001, document title: Building Communities for Design Education: Using Telecommunication Technology for Remote Collaborative Learning (William Mitchell) 

Zolotovsky, Katia , web page   … PhD 2017, document title: Guided Growth: Design and Computation with Biologically Active Materials (Terry Knight) 

Extra-Departmental Subjects

Course 1 - civil and environmental engineering, 1.000 | computer programming for scientific and engineering applications  .

  Instructor:   R. Juanes

1.001 | Engineering Computation & Data Science

Instructor:  J. Williams

1.022 |  Introduction to Networks Models

Instructor:  A. Jadbabaie

Provides an introduction to complex networks, their structure, and function, with examples from engineering, applied mathematics and social sciences. Topics include spectral graph theory, notions of centrality, random graph models, contagion phenomena, cascades and diffusion, and opinion dynamics.

1.124J | Software and Computation for Simulation 

Instructor:  Prof. J. Williams

Modern software development techniques and algorithms for engineering computation. Hands-on investigation of computational and software techniques for simulating engineering systems, such as sensor networks, traffic networks, and discrete simulation of materials using atomistic and particle methods. Covers data structures and algorithms for modeling, analysis, and visualization in the setting of multi-core and distributed computing. Treatment of basic topics, such as queuing, sorting and search algorithms, and more advanced numerical techniques based on state machines and distributed agents. Foundation for in-depth exploration of image processing, optimization, finite element and particle methods, computational materials, discrete element methods, and network methods. Knowledge of an object-oriented language required.

1.125 | Artitecting and Engineering Software Systems

Software architecting and design of cloud-based software-intensive systems. Targeted at future engineering managers who must understand both the business and technical issues involved in architecting enterprise-scale systems. Student teams confront technically challenging problems. Introduces modern devops concepts and cloud-computing, including cloud orchestration for machine learning. Also discusses cyber-security issues of key management and use of encrypted messaging for distributed ledgers, e.g., blockchain. Students face problem solving in an active learning lab setting, completing in-class exercises and weekly assignments leading to a group project. Some programming experience preferred. Enrollment limited.

Course 2 - Mechanical Engineering

2.007 | design & manufacturing i.

Instructor:  S. Kim, A. Winter

2.089J | Computational Geometry 

Instructor:  Staff 

2.093 | Finite Element Analysis of Solids & Fluids I

Instructor:  Staff

2.739J | Product Design & Development

Course 3 - materials science and engineering, 3.032 |  mechanical behavior of materials.

Instructor:  L. Gibson

Course 4 - Architecture

     

4.s50 |  Special Subject: Architectural Computation

4.110 | design across scales, disciplines and problem contexts, 4.140j/mas.863.j | how to make almost anything.

Instructor:  Neil Gershenfeld

4.246 | DesignX Accelerator

Instructor:  Staff    

Students work in entrepreneurial teams to advance innovative ideas, products, services, and firms oriented to design and the built environment. Lectures, demonstrations, and presentations are supplemented by workshop time, when teams interact individually with instructors and industry mentors, and by additional networking events and field trips. At the end of the term, teams pitch for support of their venture to outside investors, accelerators, companies, or cities. Limited to 30; preference to students in DesignX Program.  The DesignX program provides a ton of really valuable resources if you're interested in starting a company -- frequent mentorship from faculty and industry experts who care about the work you're doing, time and space to turn an idea into a company, funding, workshops, etc. The more you can put in, the more you'll get out. There's an application process in the fall semester.  

4.450 | Computational Structure Design & Optimization

Instructor:  Caitlin Mueller

4.481 | Building Technology Seminar

Instructor:  BT Faculty

Course 6 - Electrical Engineering and Computer Science

   , 6.0001 | introduction to computer science and programming in python.

Instructor:  A. Bell

6.005 6.031  |   Elements of Software Construction

Instructor:  M. Goldman

6.034 | Artifical Intelligence

Instructor:  K. Koile

6.036 | Introduction to Machine Learning

Instructor:  L.P.Kaelbling

6.041A/6.041B | Introduction to Probability I & II

Instructor:  J.N. Tsitsiklis

6.045J | Automata, Computability and Complexity

6.046j | design & analysis of algorithms.

Instructor:  S. Devadas

6.170 | Software Studio

Instructor:  D.N. Jackson

6.431A/6.431B | Intro to Probability I & II

6.801 | machine vision.

Instructor:  B.K.P. Horn

6.803 | The Human Intelligence Enterprise

6.804 | computational cognitive science.

Instructor:  J. Tenenbaum

6.809J | Interactive Music Systems

Instructor:  E.Egozy, L.Kaelbling

6.834J | Cognitive Robotics

6.835 | intelligent multimodal user interfaces, 6.837 | computer graphics.

Instructor:  J.Solomon

6.838 | Shape Analysis

Instructor:  J. Solomon

The DesignX program provides a ton of really valuable resources if you're interested in starting a company -- frequent mentorship from faculty and industry experts who care about the work you're doing, time and space to turn an idea into a company, funding, workshops, etc. The more you can put in, the more you'll get out. There's an application process in the fall semester.  

6.844 | Artifical Intelligence

6.849 | geometric folding algorithms: linkages, origami, polyhedra, 6.850 | geometric computing, 6.860j | statistical learning theory & applications.

Instructor:  T. Poggio

6.861J | Aspects of Computational Theory of Intelligence

6.862 | applied machine learning.

If you want to take this course for graduate credit, be sure to pre-register and fill out the application well in advance of the semester. It fills up fast.

6.863J | Natural Language & the Computer Representation of Knowledge

6.865 | advanced computational photography, 6.883 | modeling with machine learning  , 6.901j | innovation engineering: moving ideas to impact.

Instructor:  F. Murray  

Course 9 - Brain and Cognitive Sciences

9.012 | cognitive science.

Instructor:  E. Gibson, P. Sinha, J. Tenebaum

9.19/9.190 | Computational Psycholinguistics

Instructor:  R.P. Levy

Introduces computational approaches to natural language processing and acquisition by humans and machines, combining symbolic and probabilistic modeling techniques. Covers models such as n-grams, finite state automata, and context-free and mildly context-sensitive grammars, for analyzing phonology, morphology, syntax, semantics, pragmatics, and larger document structure. Applications range from accurate document classification and sentence parsing by machine to modeling human language acquisition and real-time understanding. Covers both theory and contemporary computational tools and datasets. Students taking graduate version complete additional assignments.

9.10 | Cognitive Neuroscience

Instructor:  R. Desimore, E. K. Miller

9.523 | Aspects of Computational Theory of Intelligence

Instructor:  Tomaso Poggio

9.660 | Computational Cognitive Science

9.65 | cognitive processes, course 11 - urban studies and planning, 11.321  |   data science and machine learning in real estate.

Small group study of advanced subjects under staff supervision. For graduate students wishing to pursue further study in advanced areas of real estate not covered in regular subjects of instruction.  This is a great general introduction to data science and machine learning, and is suitable for both those with and without prior experience. It does a great job of highlighting use cases and challenges of applications in real estate and the built environment that you wouldn't get from a standard ML course, with many guest speakers from industry. The homework and projects were very manageable for beginners. 

Course 15 - Management

15.371j | innovation teams.

Instructor:  L. Perez-Breva

15.871 |  Introduction to Systems Dynamics

Instructor:  Prof. H. Rahmandad

Course 18 - Mathematics

18.06 | linear algebra.

Instructors:  Fall: S. Johnson; Spring: A. Edelman

Reviews linear algebra with applications to life sciences, finance, engineering, and big data. Covers singular value decomposition, weighted least squares, signal and image processing, principal component analysis, covariance and correlation matrices, directed and undirected graphs, matrix factorizations, neural nets, machine learning, and computations with large matrices. Students in Course 18 must register for the undergraduate version, 18.065.

This class covers a broad range of mathematical tools involving matrices, which are are everywhere in data analysis and machine learning (including deep neural network technology). Prof. Strang wrote a textbook specifically for this class, which he uses for lectures and homework (the textbook is a great resource for everything that involves matrices — but it is not an introduction to linear algebra). I would recommend this class to both Masters and PhD students, given that you have some understanding of linear algebra. There is weekly homework, math problems done by hand, sometimes including one simple programming exercise. There are no exams or quizzes. There is only one open ended final project. Prof. Strang is one the best and most dedicated Professors I’ve met at MIT, and a really great teacher — you’ll certainly enjoy him delivering a lecture, even if you don’t understand the material."

18.065 | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

Instructor:  Prof. Gilbert Strang

18.0851 | Computational Science & Engineering I

Instructor:  Fall: W. Gilbert Stran; Spring: L. Demanet

18.900 |  Geometry and Topology in the Plane

Instructor:  P. Seidel

Covers selected topics in geometry and topology, which can be visualized in the two-dimensional plane. Polygons and polygonal paths. Billiards. Closed curves and immersed curves. Algebraic curves. Triangulations and complexes. Hyperbolic geometry. Geodesics and curvature. Other topics may be included as time permits.

18.4041 | Theory of Computation

Instructor:  Michael Sipser 

Course MAS - Media Arts and Sciences

Mas.s66  |  human machine symbiosis.

Instructor:  Pattie Maes

MAS.131  |  Computational Camera & Photography

Mas.581  |  networks, complexity and their applications, mas.630  |  affective computing.

Instructor:  R.W. Picard

Great course with lots of one-on-one feedback with the instructor and TA. Excellent if you're looking to perform experiments with human subjects since it walks you through the process of getting COUHES approval. The workload can be reasonable and is hugely dependent on how much you choose to tackle in the course project. 

MAS.712  |  Learning Creative Learning

Mas.834  |  tangible interfaces.

Instructor:  H. Ishii

MAS.836  |  Sensor Technologies for Responsive Environments

Mas.863.j  |  how to make almost anything.

Instructor:  N. Gershenfeld

Course 21 - Humanities

21w.820j  |  writing: science, technology, and society, 21g.152  | chinese ii, 21a.819  |  qualitative research methods, harvard courses, compsci 164 |  software engineering.

Instructor:  David K. Malan

COMPSCI 171 | Visualization

Instructor:  Hanspeter Pfister

APCOMP 209 | A  Data Science 1: Introduction to Data Science

Instructor:  Pavlos Protopapas and Kevin A. Rader

ENG-SCI 153  |   Laboratory Electronics

Instructor:  David Abrams

EDU T402 | Team  Learning

Instructor:  Daniel Wilson

GSD 6338 | Introduction to Computational Design

Instructor:  Panagiotis Michalatos

GSD 6317 | Material Distributions: Gradients of Compliance 

Instructor:  Not Listed

GSD SCI 6317 | Material Practice as Research: Digital Design and Fabrication 

Gsd sci 6459 | mechatronic optics.

Instructor:  Andrew Witt

Lawrence Sass

Terry Knight

Takehiko Nagakura

George Stiny

Skylar Tibbits

Inala Locke

• 2022, MIT Press Shapes of Imagination: Calculating in Coleridge’s Magical Realm George Stiny
• 2021 Multi-objective optimization of 3D printed shell toolpaths Alexander Curth, Tim Brodesser, Lawrence Sass, Caitlin Mueller
• 2015 Making Grammars: From Computing with Shapes to Computing with Things Terry Knight, George Stiny

Situated Computations, Craft + Technology

School of Architecture

College of design.

Design Computation

Design Computation explores the theoretical and practical basis of design as a computational premise. The possibility of design is viewed through the lens of the history and theoretical foundations of fields as diverse as computer science, mathematics, AI, logic, and cybernetics. 

Research Areas

Shape Computation

Parametric Design

Digital Heritage

Building Information Systems

Performance Informatics

Research labs, shape computation lab, associated centers, digital building lab, simtigrate design lab, ipat | institute of people and technology, institute for robotics and intelligent machines.

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Massachusetts Institute of Technology, 77 Massachusetts Avenue, RM 7-304, Cambridge, MA 02139, USA   ( )

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ADMISSIONS

The Computation Group offers two advanced study degrees at graduate level: a Master of Science in Architectural Studies (SMArchS) degree and a PhD degree. The group also offers a specialized stream in the Bachelor of Science in Architecture (BSA) program for undergraduate majors. The following pages describe degrees and admissions information specific to the Computation Group as supplement to the Department website.

For general information on these degrees and details of their admissions processes, see the and pages on the .

PHD IN DESIGN AND COMPUTATION

The PhD program is broadly conceived around computational ideas as they pertain to the description, generation, and construction of architectural form. Issues range from the mathematical foundations of the discipline to the application and extension of advanced computer technology. The mission of program is to enhance and enrich design from a computational perspective, with clear implications for practice and teaching. Faculty, research staff, and students work in diverse but overlapping and mutually supportive areas. Work on shape representation, generative, and parametric design is directed at a new computational basis for design. Work on digital modeling and rendering seeks to extend the possibilities of visualizing design ideas and un-built work, as well as to improve architectural design practice where designers and technical collaborators are geographically separated. Work on digital fabrication with rapid prototyping and CAD/CAM technologies aims to expand design possibilities through the physical modeling of design ideas, and to revolutionize the construction and building phase of architectural practice. Research employs computational media for the representation and application of design knowledge. Faculty, research staff, and students associated with the group combine education in architecture and urban design with education in computer graphics, art, mathematics, and other fields. The minimum residency requirement for the PhD degree is two years and it is expected that most students will take no more than five years to complete the degree. For research work samples from student thesis projects, please see the in this website.

PhD Admissions

Admission to the PhD program is by competition among candidates for the limited number of places available each year. Applications are reviewed by the Computation faculty and a student representative. Admission is based on a careful examination of the applicant's previous academic record including relevant samples of completed academic and research work, a statement of purpose, and letters of recommendation. The applicant should demonstrate superior intellectual achievement, and the ability to initiate and carry through to completion independent academic work in the Computation area. Successful applicants will have previous degrees in architecture or a closely related discipline. The applicant is encouraged to visit MIT and discuss his or her academic goals with a faculty member in Computation prior to submitting an application. For details of the admissions process to PhD degree, please see the page on the Architecture Department website.

SMARCHS IN DESIGN AND COMPUTATION

Master of Science in Architectural Studies

The mission of the SMArchS program in the study area of Computation is to promote new approaches to computational theory and technique in relation to architectural design, and to challenge conventional distinctions between physical and virtual environments. Students take subjects and conduct research in computation and digital design technology, including visualization, shape computation, generative and parametric design, digital fabrication with CAD/CAM and rapid prototyping technologies, building information modeling, digital heritage, critical studies of digital and information technologies, and application of all of these to challenging real-world design problems. Students are strongly encouraged to take subjects in other discipline areas and in other departments as a means to explore their interests and to develop their own agendas in collaboration with their advisors. For research work samples from student thesis projects, please see the in this website.

SMArchS Admissions

The Master of Science in Architectural Studies (SMArchS) degree is offered for students who already have a professional degree in architecture such as MArch and those interested in advanced non-professional graduate study. A student with a previous degree in a field other than architecture may be considered contingent on the merit of background and research orientation. The program in general is described in the page on Architecture Department website. Applicants to the SMarchS program in the study area of Computation are assessed on the basis of academic and creative potential. A portfolio demonstrating strength in design and focused statement of objectives outlining interests and goals in computation is very important. However, applicants are not expected or required to have advanced experience or skills in computation. Applications to the SMArchS program are reviewed by the Computation faculty and a student representative. Applicants are encouraged to visit MIT, and to meet with faculty and students in the Computation Group to discuss the program and to get a good sense of the very rich academic environment. For details of the admissions process to SMArchS degree, please see the page on the Architecture Department website.

BSA COMPUTATION STREAM

Undergraduate architecture majors can choose a concentration in the area of Computation. This concentration exposes students to the many facets of the rapidly changing and increasingly important area of computational design. It aims to provide, simultaneously, a rigorous theoretical foundation and strong professional design skills with computational expertise. The objective is to prepare students to pursue diverse career paths or further education in multiple areas of design, and to enable students to take advantage of emerging opportunities in industry and academia. Required subjects encompass three central aspects of design: visualization (2D and 3D modeling, lighting, color, simulation, animation), construction (physical, full-scale fabrication), and synthesis (generative and parametric techniques for designing), as well as fundamentals of computer programming for design.

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Lucia Rebolino Summer 2022 – Colloquium I, Dan Taeyoung

Junling Zhuang Summer 2022 – Computational Modeling, Luc Wilson

Hsiang Hsi Lu Summer 2022 – Colloquium I, Dan Taeyoung

Urechi Oguguo Fall 2020 – Measuring the Great Indoors, Gabrielle Brainard, Violet Whitney

Anirudh Chandar, Camila Nunez, Luis Miguel Pizano Fall 2020 - X Information Modeling I, Luc Wilson

Eddie Joe Antonio Summer 2022 – Responsive Architecture, Violet Whitney

Wan-Hsuan Kung, Liwei Guo, Nanjia Jiang, Tianheng Xu, Chen Yang Fall 2020 – Generative Design I, Danil Nagy

Lucia Rebolino Summer 2022 – Responsive Architecture, Violet Whitney

Quentin Yiu Fall 2018 – Metatool, Dan Taeyoung

The Master of Science in Computational Design Practices (M.S.CDP) is an innovative program for recent graduates and practitioners that extends and integrates disciplines between architecture, data visualization, and urban planning—focusing specifically on computational design practices for the built environment at multiple scales. It aims to pioneer new concepts and pedagogies for an integrated multi-scalar and spatial approach to computational design at Columbia GSAPP. The M.S.CDP curriculum encourages critical and creative engagement with spatial computational design as both method and practice.

The M.S.CDP program was launched in 2021 for pre- and post-professional students and encourages applications from a range of backgrounds. The program is oriented toward the training of future design practitioners and aims to expand the discipline’s range of intellectual entanglements and cultivate new paradigms for scholarly research, experimental practice, creative technology, communication, and action. We take it as a given that from the scale of the project to that of the planet, the uses of computational design methods, and tools are most successful when their limits and their contexts—technical, social, political, aesthetic, and ethical—are confronted and surpassed to allow equitable ways of imagining, creating and coding space. The tools, data, and technology we deploy in the design process are never neutral. Faculty in the sequence take on discrete parts of this array—data visualization, sensors and data analysis, simulation, optimization, sensing, procedural modeling, rendering, interface design, Geographic Information Systems (GIS), Building Information Management (BIM)—and expose students to technical, critical, and creative ways to transform and develop their processes of design.

M.S. CDP Events

How tall is the internet?

What does it mean to measure the Internet? And how can the measurements themselves inform its evolution?

A lecture by artist, writer, researcher, and lead Data Scientist at Measurement Lab Lai Yi Ohlsen.

Part of the 2023 MSCDP Conversations with Practitioners lecture series, organized by the M.S. in Computational Design Practices Program.

Lai Yi Ohlsen

A lecture by NYC-based urbanist-technologist Siqi Zhu , whose work bridges urban development, strategic design, and urban technologies.

Notes on Culture, Narrative, and Place

A lecture by transdisciplinary designer, public artist, and educator Curry J. Hackett , founder of Wayside on how Curry’s practice and research braids cultural and ecological narratives using quantitative data, oral history, and artificial intelligence.

Curry J. Hackett

The Future Present Symposium explores the use of computation to radicalize spatial practices as well as the boundaries between technology, design, activism, and critical thinking.

The symposium featured a discussion between Imani Jacqueline Brown, Elaine Gan, Sam Lavigne and Farzin Lotfi-Jam.

Future Present Symposium

Cloud Studies

A lecture by Eyal Weizman , professor of Spatial and Visual Cultures and founding director of the Centre for Research Architecture at Goldsmiths, University of London, and founder of Forensic Architecture .

Eyal Weizman, Forensic Architecture

Center for Spatial Research (CSR) and collaborators from the Yale School of Public Health present an interactive map project that guides policymakers and the public in deploying health care workers to communities most affected by the COVID-19 pandemic.

Their discussion is followed by presentations by graduate researchers at the CSR who investigated patterns in the distribution of COVID-19 while critically questioning the role of mapping and data visualization in understanding the pandemic.

Learn more here .

Health and the City

This conference brought together leading scholars and practitioners from across multiple disciplines to consider the role that technologies have played in changing how urban spaces and social life are structured and understood – both historically and in the present moment. Featuring keynote lectures by Wendy Hui Kyong Chun and Trevor Paglen.

Organized by Professor Laura Kurgan and the Center for Spatial Research.

Ways of Knowing Cities

This symposium brought together urban researchers and practitioners – planners, architects, geographers, organizers, and entrepreneurs – to take stock of the digital processes and products shaping cities, their promises, and problems, and discuss alternatives and approaches for operating within and against the uneven spaces they characterize.

Digital Urbanisms

Each student is asked to clarify an independent research problem over three semesters, culminating in a forward-looking capstone project for the final Design in Action colloquium. Three colloquium courses—Methods as Practices, Practices as Methods; Explore, Explain, Propose; and Design in Action—provide a critical, productive, and supportive structure for students to develop a clear position and methodology for their work, as well as a plan for its implementation. Students participate in the field discursively as well—reading and writing about current debates as well as historical approaches to technology and the built environment. They are guided through creative and iterative design processes as well as methods-oriented workshops to facilitate their work and capstone projects. Foundation courses are intended to provide a set of seven core competencies for students in computational design methods in architecture and planning. Three of these foundation courses are available exclusively online to students before the start of the program, as well as to learners everywhere: Computational Drawing, Mapping and Data, and Programming for Design Practices. Other foundation courses include Computational Modeling, Computational Design Workflows, Responsive Architecture, and Design Intelligence. The program also offers nearly 36 existing advanced elective courses across the School, enabling students to explore and cultivate their particular direction and approach to research.

A part-time option allows students to complete the curriculum over the course of three years.

Other Architecture Programs at GSAPP

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The Bartlett School of Architecture

Architectural Space & Computation MPhil/PhD

Architectural Space & Computation MPhil/PhD is associated with the world-renowned Space Syntax Laboratory . With its empirical base, this programme is aimed at researchers seeking to advance knowledge by studying the relations between spatial patterns and social outcomes, and between architectural design knowledge and computation.

There are two principal streams that lead to a PhD in Architecture:

• Space and Society in Buildings and Cities, in which students use space syntax theories and methods to study the effects of spatial design on aspects of the social, organisational and economic performance of buildings and urban areas.
• Architectural Computation, in which   students apply technology to research into the built environment, bringing innovative computational analytical methods - including analytial and machine learning methods, and virtual and augmented reality - to the heart of the design process.

View the UCL prospectus for this MPhil/PhD

Students pursue independent research projects supervised by a principal and secondary supervisor, culminating in a doctoral thesis of up to 100,000 words. Student topics are aligned to staff members' research interests, which range from media architecture, design interaction and architectural computation to workplace design, spatial narratives and urban design.

Research supervision is complemented by a programme of fortnightly seminars throughout the academic year – some led by students, others by experts from UCL and around the world. In the past year, these have included Professor Howard Davis from University of Oregon; Dr Vintio Netto, Fluminense Federal University, Brazil; and Justin De Syllas of Avanti Architects.

In their first year, students on the Space and Society in Buildings path will often audit selected modules from Space Syntax: Architecture & Cities MSc/MRes ; students on the Architectural Computation path will audit selected modules from Architectural Computation MSc/MRes . This means they benefit from the rigorous training in theories and methods that these programmes provide. 

Architectural Space & Computation MPhil/PhD is also associated with the InnoChain European research network and the Engineering Doctorate in Virtual Environments, Imaging & Visualisation. Students on these programmes will typically take some of their taught modules jointly with students at The Bartlett.

Supervisors

As an MPhil/PhD candidate, you will have two doctoral supervisors: one from the school, while the other could be from another school at The Bartlett or elsewhere in UCL, depending on your research area.

To discuss a possible MPhil/PhD within the Space Syntax Laboratory, it is recommended that you have a look at the profiles of the supervisor with whom you would like to work and email them a preliminary paragraph or two about your research interests.

Space and Society in Buildings and Cities

Dr Sam Griffiths Theories and methods for researching and writing the historical relationship between urban populations and their built environments; the spatial cultures of industrial cities, suburbs and high streets; urban manufacturing; architecture as chronotope in realist fiction and historical writing; space syntax as an interdisciplinary approach to research in the humanities and social sciences.    

Professor Kayvan Karimi Evidence-informed, analytical, urban and architectural design; Organic cities and naturally-evolved urban systems; Informal settlements and slum regeneration; New Towns; Strategic planning and large-scale developments; Public realm and street design; spatial networks and transport systems; spatial networks and urban economics.

Professor Sophia Psarra Architecture narrative and fiction, geometry of architecture and urban space; conceptual order, spatial morphology and spatial experience; the formation of spatial meaning in architecture and symbolic languages across different media; architectural theory; the morphology of cities in relation to processes of industrialisation, de-industrialisation and innovation; spatial design of complex buildings and its relation to society and organisations; computer modelling and visualisation.

Professor Kerstin Sailer Relationship between spatial configuration, organisational structure and social dynamics within complex buildings (offices, schools, laboratories, universities, hospitals, multifunctional buildings); Space usage patterns; Organisational theory, Organisational behaviours, Space Syntax, Social Network Analysis, Evidence-Based Design.   Professor Laura Vaughan The relationship between urban form and society with regard to communities, social and economic spatial patterns; suburbs and suburban town centres; ethnic and immigrant quarters; neighbourhoods and town centres; poverty and prosperity; wellbeing and health. Urban historical research, focusing on the nineteenth century city; urban mapping.

Architectural Computation, Machine Intelligence and Virtual Reality - Extended Reality in Architecture

Ava Fatah gen Schieck Architecture and interaction design; media architecture; media city; digital urban interaction; extended reality (mixed reality, augmented reality and virtual reality); sensory environments (with the focus on museums); human-centred smart city; embodied and embedded interactions; urban media art; design, content creation, placement and evaluation of public displays and networked urban screens; co-creation of media content with communities.   Professor Sean Hanna Spatial cognition; mathematical and computational modelling of spatial and social relationships; individual and collective creativity; machine learning and intelligence; complexity and big data.

Professor Alan Penn Urban research at the scale between the building and the city; design of complex buildings and their relations to organisations (i.e. hospitals, laboratories and offices); development of computing for architecture; urban pollution dispersal; virtual reality applications for the built environment; simulation of social phenomena and urban growth and change.

Dr Tasos Varoudis Hybrid architecture, computational analysis and machine intelligence; spatial and architectural computation; development of new methodological and computational innovations combining spatial data-driven models with machine learning and agent-based models.

Professor Peter Bishop How cities evolve, the forces that shape them outside the conscious design process and the mechanisms by which urban change takes place.

Funding opportunities

One three-year studentship for a UK candidate with strong spatial data analytical skills beginning in September 2023. The candidate will need to apply to the Architectural Space & Computation MPhil/PhD programme at The Bartlett School of Architecture, University College London, where they will be supported in developing a broad characterisation of Bradford’s spatial geography, in order to analyse the relationship between mental health and factors such as access to green space, proximity to local high streets, or social connectivity. Access to data on the health of children in Bradford will be provided by the Born in Bradford project. The research will contribute to the development of built environment indicators for the Connected Bradford project, which links up routine health, social and educational data on over 530,000 Bradford residents.

More details are available by downloading this pdf or by  emailing Professor Laura Vaughan .

Visit our funding page to find out more about funding your studies.

• Find out more about this Studentship

The Bartlett School of Architecture is one of the world's top-ranked architecture schools and our students enjoy excellent employment opportunities. Upon completion of their PhDs, students have gone on to pursue careers in a wide variety of fields, including academic roles.

Programme Director and Departmental Tutor:  Ava Fatah gen Schieck Programme Administrator:  Emmy Thittanond

Image: Athina Lazaridou, 'Spatial navigation in real and virtual museums in two and three dimensions: VR navigational model of the Ashmolean Museum in Oxford, UK.'

View the UCL prospectus page for this MPhil/PhD

Find out about ucl’s space syntax laboratory.

Explore our current students' research profiles

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Doctoral Programs in Computational Science and Engineering

Doctor of philosophy in computational science and engineering, program requirements.

Core Subjects
	Introduction to Numerical Methods	12
	Doctoral Seminar in Computational Science and Engineering	3
Core Area of Study
		48
Computational Concentration		24
Unrestricted Electives		24
Choose 24 units of additional graduate-level subjects in any field.
Thesis Research		168-288
Total Units		279-399

Programs Offered by CCSE in Conjunction with Select Departments in the Schools of Engineering and Science

The interdisciplinary doctoral program in Computational Science and Engineering ( PhD in CSE + Engineering or Science ) offers students the opportunity to specialize at the doctoral level in a computation-related field of their choice via computationally-oriented coursework and a doctoral thesis with a disciplinary focus related to one of eight participating host departments, namely, Aeronautics and Astronautics; Chemical Engineering; Civil and Environmental Engineering; Earth, Atmospheric and Planetary Sciences; Materials Science and Engineering; Mathematics; Mechanical Engineering; or Nuclear Science and Engineering.

Doctoral thesis fields associated with each department are as follows:

• Aerospace Engineering and Computational Science
• Computational Science and Engineering (available only to students who matriculate in 2023–2024 or earlier)
• Chemical Engineering and Computation
• Civil Engineering and Computation
• Environmental Engineering and Computation
• Computational Materials Science and Engineering
• Mechanical Engineering and Computation
• Computational Nuclear Science and Engineering
• Nuclear Engineering and Computation
• Computational Earth, Science and Planetary Sciences
• Mathematics and Computational Science

As with the standalone CSE PhD program, the emphasis of thesis research activities is the development of new computational methods and/or the innovative application of state-of-the-art computational techniques to important problems in engineering and science. In contrast to the standalone PhD program, however, this research is expected to have a strong disciplinary component of interest to the host department.

The interdisciplinary CSE PhD program is administered jointly by CCSE and the host departments. Students must submit an application to the CSE PhD program, indicating the department in which they wish to be hosted. To gain admission, CSE program applicants must receive approval from both the host department graduate admission committee and the CSE graduate admission committee. See the website for more information about the application process, requirements, and relevant deadlines .

Once admitted, doctoral degree candidates are expected to complete the host department's degree requirements (including qualifying exam) with some deviations relating to coursework, thesis committee composition, and thesis submission that are specific to the CSE program and are discussed in more detail on the CSE website . The most notable coursework requirement associated with this CSE degree is a course of study comprising five graduate subjects in CSE (below).

Computational Concentration Subjects

	Architecting and Engineering Software Systems	12
	Atomistic Modeling and Simulation of Materials and Structures	12
	Topology Optimization of Structures	12
	Computational Methods for Flow in Porous Media	12
	Introduction to Finite Element Methods	12
	Artificial Intelligence and Machine Learning for Engineering Design	12
	Learning Machines	12
	Numerical Fluid Mechanics	12
	Atomistic Computer Modeling of Materials	12
	Computational Structural Design and Optimization
	Introduction to Mathematical Programming	12
	Nonlinear Optimization	12
	Algebraic Techniques and Semidefinite Optimization	12
	Introduction to Modeling and Simulation	12
	Algorithms for Inference	12
	Bayesian Modeling and Inference	12
	Machine Learning	12
	Dynamic Programming and Reinforcement Learning	12
	Advances in Computer Vision	12
	Shape Analysis	12
	Modeling with Machine Learning: from Algorithms to Applications	6
	Statistical Learning Theory and Applications	12
	Computational Cognitive Science	12
	Systems Engineering	9
	Modern Control Design	9
	Process Data Analytics	12
	Mixed-integer and Nonconvex Optimization	12
	Computational Chemistry	12
	Data and Models	12
	Computational Geophysical Modeling	12
	Classical Mechanics: A Computational Approach	12
	Computational Data Analysis	12
	Data Analysis in Physical Oceanography	12
	Computational Ocean Modeling	12
	Discrete Probability and Stochastic Processes	12
	Statistical Machine Learning and Data Science	12
	Integer Optimization	12
	The Theory of Operations Management	12
	Optimization Methods	12
	Flight Vehicle Aerodynamics	12
	Computational Mechanics of Materials	12
	Principles of Autonomy and Decision Making	12
	Multidisciplinary Design Optimization	12
	Numerical Methods for Partial Differential Equations	12
	Advanced Topics in Numerical Methods for Partial Differential Equations	12
	Numerical Methods for Stochastic Modeling and Inference	12
	Introduction to Numerical Methods	12
	Fast Methods for Partial Differential and Integral Equations	12
	Parallel Computing and Scientific Machine Learning	12
	Eigenvalues of Random Matrices	12
	Mathematical Methods in Nanophotonics	12
	Quantum Computation	12
	Essential Numerical Methods	6
	Nuclear Reactor Analysis II	12
	Nuclear Reactor Physics III	12
	Applied Computational Fluid Dynamics and Heat Transfer	12
	Experiential Learning in Computational Science and Engineering
	Statistics, Computation and Applications	12

Note: Students may not use more than 12 units of credit from a "meets with undergraduate" subject to fulfill the CSE curriculum requirements

	, , or .
	for more information.
	or as a CSE concentration subject, but not both.

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The PDF includes all information on this page and its related tabs. Subject (course) information includes any changes approved for the current academic year.

We have 212 computational design PhD Projects, Programmes & Scholarships

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computational design PhD Projects, Programmes & Scholarships

Computational design of small molecules to prevent the early formation of multispecies biofilms, phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Funded PhD Project (UK Students Only)

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

PhD in Chemistry: Computational design of new heterogeneous catalysts to support net zero: conversion of CO2 to methanol

Self-funded phd students only.

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

EPSRC DTP PhD Studentship: Towards an innovative design platform for the structural optimisation of impact-absorbing metamaterials [FULLY FUNDED]

Competition funded phd project (students worldwide).

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities. Applications for the project are welcome from all suitably qualified candidates, but potential funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Design and study of modified peptide foldamers

An analysis of the socioeconomic and environmental impact of engineering design decisions, awaiting funding decision/possible external funding.

This supervisor does not yet know if funding is available for this project, or they intend to apply for external funding once a suitable candidate is selected. Applications are welcome - please see project details for further information.

Putting a brain in the mobile robotic chemist

Exploring the interplay of computational mechanics, fluid dynamics, and thermal analysis in engineering systems, accelerating the design of patient-specific fracture fixation, funded phd project (students worldwide).

This project has funding attached, subject to eligibility criteria. Applications for the project are welcome from all suitably qualified candidates, but its funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Design of 3D Printed Functionally Graded Materials

A micro radial turbine design optimization for wasted energy recovery application., rna splicing in immune cells: mechanisms, regulation, and predictive modelling (ndorms-2025/3), development of a computational tool for design and analysis of floating offshore wind turbines, green electronic interconnection (gei): optimal design for lead-free solders, design of metallo coiled coil mri contrast agents, design and 3d-printing of biomaterials for cardiovascular applications, competition funded phd project (uk students only).

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. The funding is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

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Paul Ng - PhD. Computational Design

Paul Ng began his design study in Hong Kong Polytechnic; he then continued his study in California Institute of the Arts and received his BFA major in Graphic Design. After working in LA for a year, he furthered his studies in UCLA where he specialised in Computational Design and graduated with a MFA in 1988.

Paul founded his own design company in the early 90's which has been providing a wide extent of communication design services for different clienteles ranged from multinational corporations to local SMEs. Besides practicing as a professional designer, he also teaches in different tertiary educational institutions, including Hong Kong Polytechnic University and Hong Kong University of Science and Technology, from time to time. He is a former Member of the DesignSmart Initiative Assessment Panel of CreateHK; currently he is the Hon Treasurer of School of Design Alumni Association of the Hong Kong Polytechnic University.

Research Title

Computational Design System for Corporate Identity Design

Supervisors

Dr Clifford Choy  (Chief Supervisor)

About the Research

The essence of computational design is about creating design through algorithms. In order to create a design with computational method, the related design concepts have to be formalized as a design knowledge base as well as design algorithms in advance.

As brand identity design includes three types of essential communication design problems – symbol, typography and colour, it provides the opportunities to study communication design and computational design from different perspectives.

Unlike most of the other computational design studies which mainly focus on generating new forms or facilitating design automations, this study also considers the semantic and pragmatic aspects of brand identity design from the perspective of computational design.

Design students could be benefited from the knowledge base built for the system. On the other hand, professionals could see how these essential but different topic put together as a sophisticated design system for brand identity design. Furthermore, both amateur and professional could enjoy a power tool for communication design, particularly if the solution could pass the Turing Test, whereas people can hardly differentiate whether the design solution is coming from human or machine.

Study:  Ph.D

Study mode:  Full Time

Hometown:  Hong Kong

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What are you looking for?

Introduction to Computational Design

This is an introductory course to computational design and the prerequisite for a spring course that deals with more advanced topics in the field. This course is primarily intended for designers with little background in programming who are interested in developing their skills in order to be able to better understand, interface with, and customize the digital tools they are using, or develop their own software and interactive applications. The course introduces students to fundamental concepts and techniques in computational design as well as the relevant mathematics. By the term “computational design” we mean an ad hoc set of methods borrowed from computer science, computational geometry, and other fields, and adapted to specific design problems such as design development, fabrication, analysis, interaction, and communication.

Jointly offered with SEAS EngSCI29

Doctoral Program Admissions

How to apply:.

The application for Fall 2025 admissions will be available in December 2024.

Application Checklist:

All prospective PhD researchers must submit an online application that includes:

• A Personal Statement
• Samples of Work
• Three letters of recommendation
• Official transcripts
• TOEFL/IELTS scores where applicable (Scores must be less than two years old. Or the Duolingo online English proficiency exam for students (scores from the July 2020 updated version)
• Application fee

Detailed information about each component of your application:

Describe your reasons for wishing to undertake a PhD in Transition Design, and how your unique personal and professional experiences have led you to this moment. Explain how your work overlaps with the Transition Design approach, and why this intersection could provide fertile ground for doctoral research. Tell us about what drives your work and the key research questions you are currently grappling with. We are not looking for a “research proposal.” Our program is fairly unique in that we develop this after the first year of study. If you are applying for a Teaching Fellowship indicate this here, and outline any teaching, training, or coaching experience you have. Your statement should be around 2,500 words in length.

We are interested in seeing examples of your recent work. This could be anything from a design portfolio or curriculum you have developed, to a collection of short articles you have written or descriptions of community-based projects you have been involved with. Whatever you decide to share with us, it should be supported by annotations clearly describing each piece. You can upload samples of your work as a single PDF, or include a link to a personal website. We typically like to see around five or six pieces of work.

This should include your academic qualifications, work experience, and list of notable research and/or professional outputs.

Provide names and contact information (including email addresses) for three people you have chosen to write letters of recommendation on your behalf. These are people who can write a compelling, thoughtful letter about your approach to work, and readiness for doctoral study.

In the GradCAS Academic History section, please request an official electronic transcript from U.S. schools you attended. Select the appropriate electronic transcript vendor and follow the instructions for Sending Transcripts Electronically to GradCAS, as found in the GradCAS Help Center . GradCAS accepts electronic transcripts from Credentials Solutions, Parchment, and National Student Clearinghouse.

International transcript(s) that cannot be sent electronically using Credential Solutions, Parchment, and National Student Clearinghouse must include a foreign evaluation of the academic record. WES and ECE can be ordered directly through the application. Original documents should be sent directly to GradCAS at the listed address below. The School of Design does not accept transcripts or evaluations through email or postal service.

GradCAS Transcript Processing Center PO Box 9217 Watertown, MA 02471

If English is not your native language and you are not a U.S. citizen of an exempt country you must submit one valid English proficiency score from one of the following administrators: TOEFL ( Test of English as a Foreign Language), IELTS ( International English Language Testing System), or the Duolingo with individual subscores. All applicants must submit their highest test score by the application deadline. TOEFL/IELTS scores must be less than two years old. If you are submitting the Duolingo test, which can be taken online, please verify that you are administered a 2020 or later version with individual subscores. 

• TOEFL-Please upload an unofficial score report via the Documents tab in the Program Materials Section and send official scores to GradCAS using code: B886. Our minimum TOEFL composite score is 100, with minimum subscores of 25. In addition to single test date TOEFL iBT scores, the School of Design also accepts MyBest Scores for TOEFL iBT. 
• IELTS- The School of Design is registered to receive IELTS scores electronically through GradCAS. Applicants must contact the IELTS test center where the IELTS test was taken to request the official Test Report Form be sent electronically to the GradCAS E-Delivery account, thereby granting permission to share test results with CAS services. We do not accept unofficial copies of IELTS Test Report Forms from applicants. An institution code is NOT required. The minimum composite score is 7.5.
• DuoLingo- Please upload an unofficial individual score report via the Document tab in the Program Materials section. The official scores will be sent electronically to "Carnegie Mellon University- School of Design" by DuoLingo. Our recommended DuoLingo score is 130 total. Individual subscore minimums: Literacy: 115, Conversation: 120, Comprehension: 125, Production: 110. 

Each applicant must submit a $75 application fee.

When You May Apply:

Offers are made after all applications have been reviewed, usually around the end of March.

Further Information

Please feel free to write to [email protected] with any questions. You can also check out our FAQs page. As this is a relatively new program, insufficient data exists to provide helpful transparency statistics. This will be shared as it becomes available.

• Chancellor’s Message

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2024-25 edition, computational science, ph.d..

Lee Swindlehurst, UCI Director 949-824-2818 computationalscience.uci.edu

Joint Doctoral Program with UC Irvine and San Diego State University

A joint offering with San Diego State University (SDSU), the Ph.D. program in Computational Science trains professionals capable of developing novel computational approaches to solve complex problems in both fundamental sciences and applied sciences and engineering. A program of study combining applied mathematics, computing, and a solid training in basic science culminates in doctoral research focused on an unsolved scientific problem.

The Ph.D. in Computational Science produces broadly educated, research-capable scientists that are well prepared for diverse careers in academia, industry, business, and government research laboratories.

Students are admitted into the joint program via a Joint Admissions Committee. Applicants apply to UCI directly using the UCI graduate application.

Applicants are expected to hold a Bachelor’s degree in one of the science, technology, engineering, and mathematics (STEM) fields.

Applicants are evaluated on the basis of their prior academic record and their potential for creative research and teaching, as demonstrated in submitted materials. These materials include official university transcripts, three letters of recommendation, a Statement of Purpose, and a Personal History statement.

Program Requirements

The normative time to completion is five years. The maximum time to completion is seven years. A total minimum of 66 units of course work, independent study, and research must be completed. These units must be distributed as follows:

• Minimum of 18 units of graduate-level coursework as SDSU.
• Minimum of 24 units of graduate-level coursework at UCI.
• Minimum of 24 units of combined research, practicum, and dissertation research units at either institution.

Summer Research Survey

Students are required to attend the annual summer seminar series featuring participating faculty members describing their current research and possible projects.

Course Requirements

Core courses at sdsu.

MATH 636 - Mathematical Modeling OR MATH 638 - Continuous Dynamical Systems and Chaos MATH 693B - Advanced Computational PDEs COMP 605 - Scientific Computing

Elective Courses at SDSU

Students select 9 units from the following list, or appropriate substitutions, with the approval of the program director and their research mentor

AE 601 - Computational Fluid Mechanics AE 641 - Structural Optimization AE 670 - Optimal Control BIOL 606 - Biological Data BIOL 668 - Advanced Biological Data Analysis BIOL 740 - Phylogenetic Systematics BIOMI 608 - Programming Problems in Bioinformatics CHEM 711 - Chemical Thermodynamics CHEM 712 - Chemical Kinetics CHEM 713 - Quantum Chemistry CIVE 620 - Traffic Flow and Control CIVE 697 - Traffic Signals Systems Operations and Control COMP 526 - Computational Methods for Scientists COMP 607 - Computational Database Fundamentals COMP 670 - Seminar: Problems in Computational Science CS 600 - Bioinformatics CS 610 - Computational Genomics CS 653 - Data Mining and Knowledge CS 666 - Advanced Distributed Systems CS 696 - Programming Problems in Bioinformatics EE 645 - Antennas and Wave Propagation EE 657 - Digital Signal Processing EE 658 - Advanced Digital Signal Processing EE 665 - Multimedia Wireless Networks EE 740 - Advanced Topics in Physical Electronics Antenna Design MATH 693A - Advanced Computational Optimization MATH 693B - Advanced Computational PDEs MB 610A-B - Advanced Topics in Molecular Biology ME 610 - Finite Element Methods PHYS 604 - Electricity and Magnetism PHYS 606 - Statistical Mechanics PHYS 608 - Classical Mechanics PHYS 610 - Quantum Mechanics STAT 657 - Statistical and Machine Learning Methods STAT 658 - Advanced Data Analytics STAT 676 - Bayesian Statistics STAT 678 - Survival Analysis STAT 700 - Data Analysis STAT 701 - Monte Carlo Methods STAT 702 - Data Mining

Core Courses at UCI

	Principles of Scientific Computing
	Introduction to Artificial Intelligence
	Machine, Model, and Statistical Learning I
	Statistical Methods for Data Analysis I

Elective Courses at UCI

Students select 8 units from the following list, or appropriate substitutions, with the approval of the program director and their research mentor

	Introduction to Computational Biology
	Dynamic Systems in Biology and Medicine
	Spectroscopy and Imaging of Biological Systems
	Classical Mechanics and Electromagnetic Theory
	Fundamentals of Quantum Mechanics
	Applications of Quantum Mechanics
	Thermodynamics and Introduction to Statistical Mechanics
	Advanced Topics in Statistical Mechanics
	Computational Chemistry
	Computational Chemistry Laboratory
	Visual Computing
	Information Retrieval, Filtering, and Classification
	Parallel Computing
	Data Structures
	Analysis of Algorithms
	Graph Algorithms
	Computational Geometry
	Introduction to Optimization
	Machine Learning
	Probabilistic Learning: Theory and Algorithms
	Learning in Graphical Models
	Causal and Probabilistic Reasoning with Graphical Models
	Probability Models
	Artificial Intelligence in Biology and Medicine
	Computational Systems Biology
	Digital Image Processing
	Design and Analysis of Algorithms
	Cyber-Physical System Design
	Random Processes
	Information Theory
	Digital Signal Processing I
	Advanced Engineering Electromagnetics I
	Advanced Engineering Electromagnetics II
	Monolithic Microwave Integrated Circuit (MMIC) Analysis and Design II
	Finite Element Method in Structural Engineering
	Flood Risk and Modeling
	Watershed Modeling
	Climate Data Analysis
	Wavelets in Hydrology, Engineering, and Geoscience
	Inviscid Incompressible Fluid Mechanics I
	Viscous Incompressible Fluid Mechanics II
	Linear Systems I
	Statistical Methods for Data Analysis II
	Statistical Computing Methods

Research Units at SDSU

COMP 897 - Doctoral Research COMP 898 - Practicum COMP 899 - Dissertation

Research Units at UCI

	Thesis Supervision
	Individual Study
	Individual Research

Practicum and Doctoral Research

Dissertation research is carried out at either UCI or SDSU, or at an industry or national laboratory under the supervision of the Doctoral Advisor. While conducting dissertation research, students must enroll in the appropriate research units at the campus of the Doctoral Advisor. If research is done outside of UCI or SDSU, students should register in-absentia if appropriate.

Research Report Exam

The student is expected to pass the Research Report Exam within three years of admittance. This examination consists of a term research project supervised by a faculty mentor. The student is required to prepare a written account of research work performed and its results, and offer an oral presentation before the members of the Doctoral Committee. The student must submit a paper based on their research report before giving the oral presentation to the Doctoral Committee. Should a student fail the Research Report Exam, one retake is allowed.

Dissertation Proposal

Students must submit a dissertation proposal to the doctoral committee by the end of their third year in the program. This proposal should take the form of a scientific grant proposal to a major funding agency. It should describe the research project that the student intends to carry out and upon which their doctoral dissertation will be based. The student must also offer an oral presentation of the proposal before the Computational Science faculty. Upon successful completion of this presentation, the student will be recommended for advancement to candidacy for the doctoral degree.

Advancement to Doctoral Candidacy

After successful completion of the dissertation proposal and certification that all other requirements are fulfilled, the student is advanced to candidacy at both campuses. Students not registered at UCI will need to formally advance to candidacy in the summer term. Advancement to candidacy for the Ph.D. must occur at least one term prior to dissertation defense.

Dissertation and Final Oral Examination

On completion of the research, the student prepares the dissertation in accordance with UCI regulations. A final draft of the dissertation is presented to each member of the doctoral committee at least three weeks prior to the final oral examination. The oral defense is held on the campus of the primary faculty advisor. Students must follow UCI filing deadlines. Students are required to be registered for Dissertation Research (3 units) at SDSU and Dissertation Research (4 units) simultaneously at UCI during the semester in which they present their doctoral defense. Alternatively, students can request filing fee status at UCI in the quarter in which they present their doctoral defense.

University of California, Irvine Faculty

Mohammad A. Al Faruque, Ph.D. University of Kaiserslautern, Chair of Emulex Career Development and Associate Professor of Electrical Engineering and Computer Science; Mechanical and Aerospace Engineering (system-level design, embedded systems, cyber-physical-systems, multi-core systems)

Jun F. Allard, Ph.D. University of British Columbia, Assistant Professor of Mathematics; Physics and Astronomy (Mathematical and computational biology, biopolymers, biomembranes, force-sensitive biomolecular bonds)

Ioan Andricioaei, Ph.D. Boston University, Professor of Chemistry (Theoretical Chemistry and Biophysics: Developing novel theoretical techniques and applying computer and modeling methods to describe, in terms of dynamics and thermodynamics, biologically important molecular processes, with the aim to complement, enhance or predict experimental findings.)

Pierre F. Baldi, Ph.D. California Institute of Technology, UCI Chancellor's Professor of Computer Science; Biological Chemistry; Biomedical Engineering; Developmental and Cell Biology (Bioinformatics, computational biology, AI and machine learning with particular emphasis on: Deep Learning, Neural Networks, Reinforcement Learning, and their Theoretical Foundations and Applications)

Kieron Burke, Ph.D. University of California, Santa Barbara, Professor of Chemistry; Physics and Astronomy (Physical chemistry and chemical physics, polymer, materials, nanoscience, theoretical and computational)

Filippo Capolino, Ph.D. University of Florence, Italy, Professor of Electrical and Computer Science (Optics/electromagnetics in nanostructures and sensors, antennas/microwaves, RF and wireless systems)

Ann Marie Carlton, Ph.D. Rutgers University, Associate Professor of Chemistry (Atmospheric chemistry, aerosol liquid water, cloud processing, secondary organic aerosol)

Peter Chang, M.D. Northwestern University, Assistant Professor in Residence of Radiological Sciences; Computer Science; Pathology and Laboratory Medicine

Olivier Cinquin, Ph.D. University College London, Assistant Professor of Developmental and Cell Biology (Mathematical modeling of networks, systems biology)

Donald A. Dabdub, Ph.D. California Institute of Technology, Professor of Mechanical and Aerospace Engineering; Civil and Environmental Engineering (Mathematical modeling of urban and global air pollution, dynamics of atmospheric aerosols, secondary organic aerosols, impact of energy generation on air quality, chemical reactions at gas-liquid interfaces)

Kristen Davis, Ph.D. Stanford University, Assistant Professor of Civil and Environmental Engineering; Earth System Science (Coastal Dynamics)

Franco De Flaviis, Ph.D. University of California, Los Angeles, Professor of Electrical Engineering and Computer Science (microwave systems, wireless communications, electromagnetic circuit simulations)

Russell L. Detwiler, Ph.D. University of Colorado Boulder,  Associate Professor   of Civil and Environmental Engineering  (groundwater hydrology, contaminant fate and transport, subsurface process modeling, groundwater/surface-water interaction)

Efi Foufoula-Georgiou, Ph.D. University of Florida, Distinguished Professor of Civil and Environmental Engineering (hydrology and geomorphology with emphasis on modeling the interactions between the atmosphere, land, and the terrestrial environment at plot to large-watershed scale)

Filipp Furche, Ph.D. University of Karlsruhe, Professor of Chemistry (Physical chemistry and chemical physics, theoretical and computational)

Robert Benny Gerber, Ph.D. University of Oxford, Professor of Chemistry (Vibrational spectroscopy, chemical reaction dynamics, biological molecules, molecular dynamics)

Wayne B. Hayes, Ph.D. University of Toronto, Associate Professor of Computer Science (Biomedical Informatics and Computational Biology, Computer Vision Scientific and Numerical Computing)

Alexander Ihler, Ph.D. Massachusetts Institute of Technology, Associate Professor of Information and Computer Science (Artificial intelligence and machine learning, focusing on statistical methods for learning from data and on approximate inference techniques for graphical models)

Perry Johnson, Ph.D. John Hopkins University, Assistant Professor of Mechanical and Aerospace Engineering (turbulent flows, particle-laden and multiphase flows, turbulent boundary layers, large-eddy simulations, scientific computing)

Frithjof Kruggel, M.D., Ph.D. Ludwig Maximilian University of Munich, Professor of Biomedical Engineering; Electrical Engineering and Computer Science (Biomedical signal and image processing, anatomical and functional neuroimaging in humans, structure-function relationship in the human brain)

Arthur D. Lander, Ph.D. University of California, San Francisco, Donald Bren Professor and Professor of Developmental and Cell Biology; Biomedical Engineering; Logic and Philosophy of Science; Pharmacology (Systems biology of development, pattern formation, growth control)

Marco Levorato, Ph.D. University of Padua,  Associate Professor   of Computer Science; Electrical Engineering and Computer Science  (artificial intelligence and machine learning, networks and distributed systems, statistics and statistical theory, stochastic modeling, signal processing)

Mo Li, Ph.D. University of Michigan, Assistant Professor of Civil and Environmental Engineering (ultra-damage-tolerant and multifunctional composite materials for protective and resilient structures, built environments, and energy infrastructure)

Feng Liu, Ph.D. Princeton University, Professor of Mechanical and Aerospace Engineering (Computational fluid dynamics and combustion, aerodynamics, aeroelasticity, propulsion, turbomachinery aerodynamics and aeromechanics)

John S. Lowengrub, Ph.D. Courant Institute of Mathematical Sciences, UCI Chancellor's Professor of Mathematics; Biomedical Engineering; Chemical Engineering and Materials Science (Applied and computational mathematics, mathematical and computational biology)

Ray Luo, Ph.D. University of Maryland, College Park, Professor of Molecular Biology and Biochemistry; Biomedical Engineering; Chemical Engineering and Materials Science (Protein structure, non-covalent associations involving proteins)

Vladimir A. Mandelshtam, Ph.D. Institute of Spectroscopy, Academy of Sciences of USSR, Professor of Chemistry (Theoretical and Computational Chemistry)

Craig C. Martens, Ph.D. Cornell University, Professor of Chemistry (Theoretical Chemistry, Chemical Physics)

Eric D. Mjolsness, Ph.D. California Institute of Technology, Professor of Computer Science; Mathematics (Applied mathematics, mathematical biology, modeling languages)

David L. Mobley, Ph.D. University of California, Davis, Associate Professor of Pharmaceutical Sciences; Chemistry (Chemical biology, physical chemistry and chemical physics, theoretical and computational)

Mathieu Morlighem, Ph.D. Ecole Centrale Paris, Vice Chair and Associate Professor of Earth System Science

Seyed Ali Mortazavi, Ph.D. California Institute of Technology, Assistant Professor of Developmental and Cell Biology (Functional genomics to study transcriptional regulation in development)

Shaul Mukamel, Ph.D. Tel Aviv University, UCI Distinguished Professor of Chemistry; Physics and Astronomy (Physical chemistry and chemical physics, polymer, materials, nanoscience, theoretical and computational)

Alexandru Nicolau, Ph.D. Yale University, Department Chair and Professor of Computer Science; Electrical Engineering and Computer Science (Architecture, parallel computation, programming languages and compilers)

Qing Nie, Ph.D. Ohio State University, C hancellor's Professor, Developmental & Cell Biology (Computational Biology; Systems Biology; Stem Cells; Regulatory Networks; Stochastic Dynamics; Scientific Computing and Numerical Analysis)

Francois W. Primeau, Ph.D. Massachusetts Institute of Technology, Professor of Earth System Science

Michael S. Pritchard, Ph.D. University of California, San Diego, Associate Professor of Earth System Science

Roger H. Rangel, Ph.D. University of California, Berkeley, Professor of Mechanical and Aerospace Engineering (Fluid dynamics and heat transfer of multiphase systems including spray combustion, atomization and metal spray solidification, applied mathematics and computational methods)

Elizabeth L. Read, Ph.D. University of California, Berkeley, Assistant Professor of Chemical Engineering and Materials Science; Molecular Biology and Biochemistry (Dynamics of complex biochemical systems, regulation of immune responses)

Eric Rignot, Ph.D. University of Southern California, Donald Bren Professor of Earth System Science (Glaciology, climate change, radar remote sensing, ice sheet modeling, interferometry, radio echo sounding, ice-ocean interactions)

Timothy Rupert, Ph.D. Massachusetts Institute of Technology, Assistant Professor of Mechanical and Aerospace Engineering; Chemical Engineering and Materials Science (Mechanical behavior, nanomaterials, structure property relationships, microstructural stability, grain boundaries and interfaces, materials characterization)

Manabu Shiraiwa, Ph.D. Max Planck Institute for Chemistry, Associate Professor of Chemistry (Atmospheric Chemistry, Heterogeneous and Multiphase Chemistry, Aerosol Particles, Reactive Oxygen Species, Kinetic Modeling)

Hal S. Stern, Ph.D. Stanford University, Professor of Statistics; Cognitive Sciences (Bayesian methods, model diagnostics, forensic statistics, and statistical applications in biology/health, social sciences, and sports)

Lizhi Sun, Ph.D. University of California, Los Angeles, Professor of Civil and Environmental Engineering; Chemical Engineering and Materials Science (Micro- and nano-mechanics, composites and nanocomposites, smart materials and structures, multiscale modeling, elastography)

A. Lee Swindlehurst, Ph.D. Stanford University, Professor of Electrical Engineering and Computer Science (Signal processing, estimation and detection theory, applications in wireless communications, geo-positioning, radar, sonar, biomedicine)

Kevin Thornton, Ph.D. University of Chicago, Associate Professor of Ecology and Evolutionary Biology School of Biological Sciences (Genome evolution, gene duplication, population genetics, adaptation)

Douglas J. Tobias, Ph.D. Carnegie Mellon University, Professor of Chemistry (Atmospheric and environmental, chemical biology, physical chemistry and chemical physics, theoretical and computational)

Isabella Velicogna, Ph.D. Università degli Studi di Trieste, UCI Chancellor's Fellow and Professor of Earth System Science

Nalini Venkatasubramanian, Ph.D., University of Illinois at Urbana-Champaign, Professor of Computer Science (Distributed Systems Middleware, Multimedia Systems and Applications, Mobile and Pervasive Computing, Formal Methods, Data Management, and Grid Computing)

Jasper A. Vrugt, Ph.D. University of Amsterdam, Associate Professor of Civil and Environmental Engineering; Earth System Science (Complex systems, modeling, statistics, hydrology, geophysics, ecology, data, optimization, hydropower, data assimilation)

Yun Wang, Ph.D. Pennsylvania State University, Associate Professor of Mechanical and Aerospace Engineering (Fuel cells, computational modeling, thermo-fluidics, two-phase flows, electrochemistry, Computational Fluid Dynamics (CFD), turbulent combustion)

Zhiying Wang, Ph.D. California Institute of Technology, Assistant Professor of Electrical Engineering and Computer Science (information theory, coding theory for data storage, modeling, compression, and computation for genomic data)

Daniel Whiteson, Ph.D. University of California, Berkeley, Professor of Physics and Astronomy; Logic and Philosophy of Science (Particle Physics: Experimental High Energy Physics, structure of matter and the nature of its interactions at the very smallest scales)

Dominik Franz X. Wodarz, Ph.D. University of Oxford, Professor of Ecology and Evolutionary Biology; Mathematics; Program in Public Health (Dynamics of virus infections and the immune system, dynamics of cancer and its treatment, and general evolutionary dynamics and population dynamics)

Xiaohui Xie, Ph.D. Massachusetts Institute of Technology, Professor of Computer Science; Developmental and Cell Biology (computational biology, bioinformatics, genomics, neural computation, machine learning)

Charles S. Zender, Ph.D. University of Colorado Boulder, Professor of Earth System Science; Computer Science

San Diego State University Faculty

Reza Akhavian, Ph.D. University of Central Florida, Assistant Professor of Department of Civil, Construction, and Environmental Engineering (Construction Engineering and Management, Internet of Things (IoT), Data Analytics, Machine Learning, Robotics, Cyber-Physical Systems, Building Information Modeling (BIM)

Ashkan Ashrafi, Ph.D. University of Alabama, Huntsville, Associate Professor of Electrical and Computer Engineering (Digital and Statistical Signal Processing, Real-Time DSP, Biomedical Signal Processing, Fourier Analysis, Direct Digital Frequency Synthesizers, Multivariate Spectral Analysis, Hilbert Spaces, Matrix Theory and Applications)

Barbara Ann Bailey, Ph.D. North Carolina State University, Associate Professor of Statistics (Nonlinear Time Series, Dynamical Systems, and Clouds. Visualization of Nonlinear Models. Environmental Monitoring. Population Dynamics and Embryonic Mortality. Model Validation)

Arlette Baljon, Ph.D. University of Chicago, Associate Professor of Physics (Biophysics, Complex Networks, Polymer Science and computational soft matter physics)

Amneet Bhalla, Ph.D. Northwestern University, Assistant Professor of Mechnical Engineering (Fluid-Structure Interaction, Multiphase Flows, Aquatic Locomotion, Renewable Energy Device Modeling, Numerical Methods, High Performance Computing, Scientific Software Design)

Peter Blomgren, Ph.D. University of California, Los Angeles, Professor of Mathematics (Image Processing, Wave Propagation in Complex Media, Numerical Solutions of PDEs, Scientific Computing, Nonlinear Dynamical Systems)

Joaquin Camacho, Ph.D. University of California, Los Angeles, Assistant Professor of Mechanical Engineering (Multiphase Flows, Sustainable Energy, Nanomaterial Theory and Fabrication, Combustion, Aerosol Dynamics, Carbon Materials)

Margherita Capriotti, Ph.D. University of California, San Diego, Assistant Professor of Aerospace Engineering (Develop novel and efficient tools to characterize aerospace composite structures using wave propagation of different physical nature)

Ricardo Carretero, Ph.D. University College London, Professor of Mathematics (Nonlinear Dynamics, Nonlinear Waves, Bose-Einstein Condensation (BEC))

Jose Castillo, Ph.D. University of New Mexico, Professor of Mathematics (Numerical Solution of Partial Differential Equations, Scientific Computing, and Modeling)

Jianwei Chen, Ph.D. Chinese University of Hong Kong, Associate Professor of Statistics (Statistical Inferences for Nonlinear Dynamic Models, Bayesian Methods, MCMC, and Computational Statistics)

Andy Cooksy, Ph.D. University of California, Berkeley, Professor of Chemistry and Biochemistry (Laser Spectroscopy, Reaction Dynamics, and Ab Initio Calculation of Free Radicals and Other Transient Molecule)   Chris Curtis,  Ph.D., University of Washington, Assistant Professor of Mathematics (Fluid Mechanics, Modeling and Simulation, Computational Fluid Dynamics and Numerical Simulation)

Bryan Donyanavard, Ph.D., University of California, Irvine, Assistant Professor of Computer Science (Runtime Resource Management for Energy-Efficient Execution of Cyber-Physical Systems)   Robert Edwards, Ph.D. University of Sussex, Brighton, England, Professor of Computer Science (Microbiology, Bioinformatics, and High Performance Computing)   Juanjuan Fan, Ph.D. University of Washington, Professor of Statistics (Multivariate Failure Time Data, Tree Based Methods, Genetic Epidemiology)

Uduak George, Ph.D. University of Sussex, Brighton, UK, Assistant Professor of Mathematics and Statistics (Mathematical biology, fluid dynamics, continuum mechanics of tissues, morphogenesis, solute transport)   Jerome Gilles,  Ph.D. Ecole Normale Supeieure, France, Assistant Professor of Mathematics (Applied Harmonic/Functional Analysis, Signal/Image Processing, data driven methods, Functional analysis)

Kyle Hasenstab, Ph.D. University of California, Los Angeles, Assistant Professor of Statistics (Deep neural networks, medical image analysis, interpretability of AI algorithms, functional data analysis)

Hajar Homayouni,  Ph.D. Colorado State University, Assistant Professor of Computer Science (Data Quality Testing, Big Data, and Machine Learning)

Ke Huang, Ph.D. University of Grenoble, France, Assistant Professor of Electrical and Computer Engineering   (VLSI Testing, Fault Modeling and Diagnosis. Machine Learning, Data Mining. Trustworthy ICs. Computer-Aided Design)   Gustav Jacobs, Ph.D., University of Illinois at Chicago, Professor of Aerospace Engineering (Computational Physics, High-Order Methods, Fluid and Plasma Dynamics)   Calvin Johnson, Ph.D. University of Washington, Professor of Physics (Theoretical and Computational Nuclear Structure and Nuclear Astrophysics)   Parag Katira,  Ph.D. University of Florida, Assistant Professor of Mechanical Engineering (Biomolecular Motors, Cell Mechanics, Mechanosensing, Tissue Dynamics, Soft Matter Interactions, Design of Active Materials)

Alicia Kinoshita, Ph.D. University of California, Los Angeles, Associate Professor of Civil Engineering (Hydrologic change in coupled human-natural systems)   Sunil Kumar, Ph.D.  Birla  Institute  of  Technology and Science, India, Professor of Electrical and Computer Engineering and Thomas G. Pine Faculty Fellow (Wireless Networks, Multimedia Traffic, and Video Processing Techniques)   Lyuba Kuztnesova, Ph.D. Cornell University, Assistant Professor of Physics (Nanophotonics, ultrafast lasers, and cavity quantum electrodynamics and high energy short-pulse generation in fiber laser systems, mode-locking in quantum cascade lasers, blue LEDs, microcavities, and metamaterials)   Richard Levine, Ph.D. Cornell University, Professor of Statistics (Markov Chain Monte Carlo Methods, Environmental Statistics, Biostatistics, Bayesian Decision Theory)   Xiaobai Liu,  Ph.D.  Huazhong  University  of  Science and Technology, China, Associate Professor of Computer Science (Computer Vision, Machine Learning, Computational Statistics and their applications to clinic diagnosis, sports, transportation, surveillance, video games and others)   Antonio Luque, Ph.D. University of Barcelona, Assistant Professor of Mathematics (Applied Mathematics, Biophysics, Physical Virology+ theoretical and computational biophysics as well as mathematical modeling, molecular and physicochemical properties of viruses in viral ecology)

Sahar Ghanipoor Machiani, Ph.D. Virginia Tech University, Assistant Professor of Civil, Construction, and Environmental Engineering (Traffic Safety and Signal Operation, Human Behavior Modeling, Connected/Automated Vehicles, Evacuation Modeling Infrastructure-Based Safety Systems)

Marta Miletic, Ph.D. Kansas State University, Assistant Professor of Civil, Construction, and Environmental Engineering (Geotech Engineering)

Duy Nguyen, Ph.D. McGill University, Canada, Assistant Professor of Electrical and Computer Engineering (Signal Processing, Communications, and Information Theories for Wireless Systems and Networks)   Kenneth Nollett, Ph.D. University of Chicago, Assistant Professor of Physics (Theoretical and computational physics, spanning the interface between nuclear physics and astrophysics)   Christopher Paolini, Ph.D. San Diego State University, Assistant Professor of Electrical and Computer Engineering (Cyberinfrastructure, Computational Geochemistry and Combustion Science)

Pavel Popov, Ph.D. Cornell University,   Professor of Aerospace Engineering (Computational combustion with applications to aerospace propulsion. His research interests include combustion instability in aerospace engines, stochastic modelling of turbulent combustion, plasma-combustion interactions simulation of multiphase flow, turbulence modelling and high-performance computing.)

Shangping Ren, Ph.D.  University of  Illinois at Urbana-Champaign, Professor of Computer Science (Cyber-Physical Systems, Real-Time Scheduling, and Cloud Computing)   Forest Rohwer, Ph.D. San Diego State University, Professor of Biology (Genomic Analysis of Phage, Diversity of Coral-associated Bacteria, Opportunistic Infections and Coral Disease)

Eric Sandquist, Ph.D. University of California, Santa Cruz, Professor of Astronomy (Physics of Stars and the Way They Age)   Anca Segal, Ph.D. University of Utah, Professor of Biology (The Mechanism of Site-Specific Recombination; Structure/Function Analysis of Recombination Proteins)

Ignacio Sepulveda, Ph.D. Cornell University, Assistant Professor of Civil Engineering (Coastal Hazards, Coastal Engineering, Tsunami Science, Seismology, Stochastic Calculus for Uncertainty Quantification, Remote sensing, Wave Mechanics, Inversions)

Arun Sethuraman, Ph.D. Iowa State University, Assistant Professor of Bioinformatics (Population Genomics, Evolution, Bioinformatics)  

Satish Sharma, Ph.D. Banaras Hindu University, India, Professor of Electrical and Computer Engineering (Electromagnetics antennas and waves, microwave devices and systems)   Samuel Shen, Ph.D. University of Wisconsin, Madison, Albert W. Johnson Distinguished Professor of Mathematics (Statistical Climatology & Agroclimatology, Fluid Dynamcis & Forced Nonlinear Waves)   Nicholas Shikuma, Ph.D. University of California, Santa Cruz, Assistant Professor of Biology (Molecular Mechanisms of Bacteria/Bacteriophage/Animal Interactions)   Usha Sinha, Ph.D. Indian Institute of Science, Bangalore, India, Professor of Physics (Medical and Imaging Physics, Magnetic Resonance Imaging (MRI), and Informatics)

Jeet Sukumaran, Ph.D. University of Kansas, Assistant Professor of Biology (Process-based modeling of macroevolutionary dynamics, diversification, and biogeography/phylogeography; species delimitation; host-parasite coevolution, phylogenetics)   Mauro Tambasco, Ph.D. University of Western Ontario, Associate Professor of Physics (Medical Physics: Biophysics effects of ionizing radiation in the presence of strong magnetic fields)   Naveen Vaidya, Ph.D. York University, Canada, Assistant Professor of Mathematics (Applied Mathematics, Mathematical Biology, Disease Modeling, Differential Equations)   Satchi Venkataraman, Ph.D. University of Florida, Professor of Aerospace Engineering (Structural Mechanics, Design Optimization, Composite Materials, Biomechanics)   Wei Wang, Ph.D. University of Nebraska, Lincoln, Associate Professor of Computer Science (Cyber-Physical Systems, Wireless Multimedia Networking, Breast Cancer Image Processing)

Qi Wang, Ph.D. Johns Hopkins University, Assistant Professor of Aerospace Engineering (Data Assimilation in Turbulent Environments, Adjoint-Based Optimization, Measurement-Enhanced Simulations, Drag Reduction and Optimal Sensor Placement, Pollution Source Localization in Stratified or Non-Stratified Turbulence)   Fridolin Weber, Ph.D. University of Munich, Germany, Albert W. Johnson Distinguished Professor of Physics (Superdense Matter, Astrophysics, General Relativity)   Tao Xie, Ph.D. New Mexico Institute of Mining and Technology, Professor of Computer Science (High-Performance Computing, Energy-Efficient Storage Systems, Parallel/Distributed Systems, and Security-Aware Scheduling)

Yang Xu, Ph.D. Penn State University, Assistant Professor of Computer Science (Cognitive science, computer science, linguistics and psychology)

Ahmad Bani Younes, Ph.D. Texas A&M University, Assistant Professor of Aerospace Engineering (Space research topics: including the development of fast and high fidelity gravity model for the earth anomalies; fast and efficient trajectories propagation for satellite motions; optimal control theory, and, algorithms development for optimization theory, perturbation theory, orbital motion, and very broadly algorithmic differentiation for automatically generating mixed sets of high-order partial derivatives.)

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2024-2025 Catalogue

A PDF of the entire 2024-2025 catalogue.

Computational design

What is computational design?

Computational design uses digital technologies to enhance and optimise design processes. Through algorithms and cutting-edge technologies computational designers develop creative, technical and aesthetic solutions to solve challenges of the 21st century.

Why study computational design at UNSW?

When you study Computational Design at UNSW, you’ll learn to approach challenges differently through design-thinking. You’ll gain hands-on experience with cutting-edge technologies, including 3D modelling, digital geometry and parametric design, responsive environments, AR and VR, and robotic and digital fabrication using 3D printers and laser cutters. 

Through design thinking and computational design theory, you’ll hone critical-thinking and communication skills to create inclusive designs for diverse contexts. As part of our supportive Arts, Design & Architecture community, you’ll be encouraged to collaborate across disciplines, gain professional experience, and take advantage of programs that support entrepreneurship and innovation . You’ll have the opportunity to work on real-life projects set by UNSW’s partners in the built-environment, architecture and design industries such as Cox , Arup , Hassell , BVN , Bates Smart , PTW Architects , Grimshaw , Mott McDonald , Architectus and Aurecon .

Careers in computational design

Working at the intersection of design and technology, computational designers are in-demand. Your skills and ways of thinking will set you up for exciting career paths that move with the digital future. Careers in computational design include: 

• Architectural and urban design specialist
• Software solutions developer
• Smart cities consultant
• Urban data analyst
• Design technology manager
• Digital fabrication and smart-manufacturing specialist
• Gaming environment developer
• Building information model implementer

We offer the below undergraduate courses with a specialisation in computational design:

• Bachelor of Design
• Bachelor of Design / Education (Secondary)
• Bachelor of Design / Media
• Bachelor of Commerce / Design

In addition to the above courses, we offer the below undergraduate single degrees with a minor in computational design:

• Bachelor of Arts
• Bachelor of Fine Arts
• Bachelor of Interior Architecture (Honours)
• Bachelor of Media
• Bachelor of Social Sciences

Honours is an extra year of study that offers you a chance to develop your research and professional skills guided by staff who are passionate about research and the development of new researchers.

You can develop further expertise in design through the following postgraduate programs

• Graduate certificate in Design
• Graduate diploma in Design
• Master of Design   
• Graduate certificate in Visualisation, Simulation & Immersive Design
• Master of Visualisation, Simulation & Immersive Design

Design is a key component in a range of postgraduate programs, including the  Master of Architecture , the  Master of City Planning , and the  Master of Landscape Architecture . For the full list of opportunities, search ‘design’ in our  Degree Finder .

Postgraduate research through a PhD or Master of Philosophy (MPhil) will deepen your expertise and help you develop a broad intellectual sophistication, research, and professional skills that are prized by employers. You’ll have access to first-rate facilities and world-class supervisors at the forefront of their fields in fine arts.  Find out more.

Quick links

Architecture, Computational Technologies, M.S.

Program snapshot, program resources.

• Semester Map

Admission Requirements

• Tuition & Financial Aid

Related Links

• School of Architecture & Design
• Department of Architecture
• Atmosphere Architectural Journal
• Information Sessions
• New York, NY
• Long Island, NY

Explore design research at the frontiers of architecture through experimentation in computational design, robotic systems applied to fabrication and interactivity, and materiality. Innovate in design and creatively apply emergent technologies to unconventional spatial investigations, resulting in full-scale architectural prototypes and components.

Why Earn a Master’s in Architecture, Computational Technologies at New York Tech?

New York Tech’s Master of Science in Architecture, Computational Technologies (M.S.ACT) program integrates critical relationships between science and culture, fostering the development of new technologies with a keen focus on the history and theory of representation, robotics, and cybernetics. You’ll master the application, research, and advancement of computational design, robotic interaction and fabrication, and innovative materials. 

Structured around core studios, seminars, and interdisciplinary project-based learning studios, the M.S.ACT program offers specialized expertise in three key focus areas: Computational Design, Fabrication and Robotics, and Materials. 

Computational Design  

You’ll delve into the history, theory, and criticism of representation systems, robotics, and cybernetics. Through practical research, you’ll acquire essential skills in coding, algorithm development, programming languages, data processing and simulations, augmented reality, computational modeling, machine learning, and artificial intelligence, all applied directly to architectural and ecological contexts.

Fabrication and Robotics, and Materials  

In your second semester, the program shifts focus to applied research in physical computation, fabrication, and materials. This includes exploration of programming microcontrollers, designing robotic interactive systems, digital fabrication techniques, robotic construction systems, materials simulation, and optimization, encompassing a range of materials from traditional to cutting-edge biomaterials and responsive materials. 

Project-based Learning  

The culmination of your learning journey involves interdisciplinary and transdisciplinary experimental applied research, integrating all concentration areas into a full-scale interactive design and prototype at our Long Island campus. This project-based approach ensures you graduate with practical, real-world experience ready to tackle the challenges of tomorrow’s architectural landscape. 

Request Information

Learn where a Master of Science in Architecture, Computational Technologies from New York Tech can take you. Complete the form to start the conversation.

What You’ll Learn

Explore new frontiers in architecture through computational design, interactive robotics, and innovative material experiments. Innovate and apply emerging tech to unconventional spatial inquiries, crafting full-scale architectural prototypes.

Customize Your Studies

Summer Abroad Programs

Acquire a broad, global perspective of the role of architecture and related technologies. Whether in New York or overseas, you’ll learn from architects, designers, and industry professionals while observing various built environments.

Design Workshops

Through workshops and collaborative experiences, students from across the School of Architecture and Design use their knowledge to actively assist communities in need due to ecological, social, or economic factors.

Fabrication Labs

Define your vision and deepen your creativity in two Fabrication Labs equipped with advanced tools for 3-D printing models, experimenting with AI, constructing virtual and simulated environments, and exploring the capabilities of robotics.

M.S. in Architecture, Health and Design

Investigate the intersection of architecture, design, health, wellness, and the environment—from their influence on built environments to material selection and related prototyping and simulation technologies.

M.S. in Architecture, Urban Design

Rethink tomorrow’s cities while exploring how to use architecture as an agent of social change. While conducting research, you’ll deepen your knowledge of urbanism and explore current social, environmental, and technological factors.

M.Arch. in Architecture

Whether you have an undergraduate pre-professional degree in architecture or a bachelor’s degree in another area of study, the New York Tech Master of Architecture program offers a pathway to a first accredited professional degree.

Stats & Rankings

Best architecture colleges and universities in New York

Prepler.com

U.S. colleges for salary potential, based on mid-career earnings of alumni

Payscale.com

licensed architects in New York State are graduates of New York Tech than any other school.

Career & Salary Outlook

Employment of architects is projected to grow 5 percent from 2022 to 2032, with approximately 8,200 openings projected each year (BLS).

Career Options

• Computational Designer
• Digital Fabricator
• Gaming Environment Designer
• Parametric Designer
• Sustainable Designer

Salary Projections

The median annual wage for architects was $93,310 in May 2023. The highest 10 percent earned more than $151,300 (BLS).

Program Details

Learn more about the Architecture, Computational Technologies, M.S. program, including admission requirements, how to apply, and scholarship/funding opportunities. This program begins in September for two consecutive semesters (fall, spring) for 30 credit hours.

• Professional architecture or design-related degree from an accredited institution, or the equivalent, if applying with a foreign degree from another country 
• Minimum GPA of 3.0  
• Completed application; $50 nonrefundable application fee 
• Copy of college diploma or proof of degree  
• Two letters of recommendation from references who have direct knowledge of the applicant’s professional potential and academic ability.
• Copies of undergraduate transcripts for all schools attended. All final, official transcripts must be received before your first semester starts. 
• International student requirements : English proficiency (TOEFL/IELTS), I-20, and transcript evaluation. 

Supplemental Application Materials  

• Curriculum Vitae: a one-page resume with your portrait photo, name and last name, contact information, degrees, accomplishments, exhibitions, publications, projects, research, associations, skills, etc. 
• Personal Essay/Statement of Interest (500–1000 words) 
• Digital Portfolio of Creative Work

Scholarships & Aid

Explore opportunities to offset program costs, including New York Tech scholarships, graduate assistantships, and federal financial aid. 

STEM OPT Extension

International F-1 students who successfully complete this degree program are eligible for an additional 24-month STEM OPT extension to work in the U.S. in an area directly related to their area of study immediately upon completing the customary 12-month post-completion Optional Practical Training (OPT) . 

Keep Exploring

Unlock your future in architecture with the Architecture, Computational Technologies, M.S. program at New York Tech and discover your path today!

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Short about Computation in Architecture

Computation in Architecture explores the critical consideration of contemporary modelling and fabrication technologies as a driver for thinking, forming and realising architecture. With specific focus on advanced and generative modelling, living and bio-materials, and robotic fabrication, the programme foregrounds architectural investigation, questioning, risk taking, synthetic thinking and critical reflection. We welcome a diverse international student cohort and foster a creative environment in which students use computation to address critical issues of resource, circularity, performance and architectural expression. To look beyond existing boundaries, we emphasise design-led engagement informed by 1:1 prototyping and state of the art research knowledge. Throughout the two-year period, students develop deep situated knowledge in the concepts, skills and technological trajectories that will drive future architectural practice.

Graduation Projects from Computation in Architecture

Code Crafters Generated Quilt Patterns: "In Code Crafters, we are exploring how adults identify or engage with computers, computer science and computational thinking as it relates to their quilting. Additionally, we want to discover how a workshop environment can be used to facilitate recognition of computational thinking using the social, creative, and intergenerational practices already present in quilting in order to foster the transfer of new knowledge."

PhD Admissions Guidelines

Applicants to our Computational Media PhD program are typically expected to have a portfolio consisting of some combination of creative work, technical work, and scholarly research—the exact combination will be unique to each candidate. Although broad portfolios of work are useful to the admissions committee, we also encourage candidates to explicitly draw attention to important components that might inform their work at WPI within their personal statements.

Any questions? Send us an email at [email protected] .

PhD Requirements

The first year.

The time to degree (normative time) of the Computational Biology PhD is five years. The first year of the program emphasizes gaining competency in computational biology, the biological sciences, and the computational sciences (broadly construed). Since student backgrounds will vary widely, each student will work with faculty and student advisory committees to develop a program of study tailored to their background and interests. Specifically, all first-year students must:

• Perform three rotations with Core faculty (one rotation with a non-Core faculty is acceptable with advance approval)
• Complete course work requirements (see below)
• Complete a course in the Responsible Conduct of Research
• Attend the computational biology seminar series
• Complete experimental training (see below)

Laboratory Rotations

Entering students are required to complete three laboratory rotations during their first year in the program to seek out a Dissertation Advisor under whose supervision dissertation research will be conducted. Students should rotate with at least one computational Core faculty member and one experimental Core faculty member.

Click here to view the rotation policy.

Course Work & Additional Requirements

Students must complete the following coursework in the first three (up to four) semesters. Courses must be taken for a grade and a grade of B or higher is required for a course to count towards degree progress:

• Fall and Spring semester of  CMPBIO 293, Doctoral Seminar in Computational Biology
• A Responsible Conduct of Research course, most likely through the Department of Molecular and Cell Biology.
• STAT 201A & STAT 201B: Intro to Probability and Statistics at an Advanced Level. Note: Students who are offered admission and are not prepared to complete STAT 201A and 201B will be required to complete STAT 134 or PH 142 first.
• CS61A: The Structure and Interpretation of Computer Programs.  Note: students with the equivalent background can replace this requirement with a more advanced CS course of their choosing.
• 3 elective courses relevant to the field of Computational Biology, one of which must be at the graduate level (see below for details).
• Attend the computational biology invited speaker seminar series. A schedule is circulated to all students by email and is available on the Center website. Starting with the 2023 entering class, CCB PhD students must enroll in CMPBIO 275:  Computational Biology Seminar , which provides credit for this seminar series.
• 1) completion of a laboratory course at Berkeley with a minimum grade of B,
• 2) completion of a rotation in an experimental lab (w/ an experimental project), with a positive evaluation from the PI,
• a biological sciences undergraduate major with at least two upper division laboratory-based courses,
• a semester or equivalent of supervised undergraduate experimental laboratory-based research at a university,
• or previous paid or volunteer/internship work in an industry-based experimental laboratory.

Students are expected to develop a course plan for their program requirements and to consult with the Head Graduate Advisor before the Spring semester of their first year for formal approval (signature required). The course plan will take into account the student’s undergraduate training areas and goals for PhD research areas.

Satisfactory completion of first year requirements will be evaluated at the end of the spring semester of the first year. If requirements are satisfied, students will formally choose a Dissertation advisor from among the core faculty with whom they rotated and begin dissertation research.

Waivers:  Students may request waivers for the specific courses STAT 201A, STAT 201B, and CS61A. In all cases of waivers, the student must take alternative courses in related areas so as to have six additional courses, as described above. For waiving out of STAT 201A/B, students can demonstrate they have completed the equivalent by passing a proctored assessment exam on Campus. For waiving out CS61A, the Head Graduate Advisor will evaluate student’s previous coursework based on the previous course’s syllabus and other course materials to determine equivalency.

Electives:  Of the three electives, students are required to choose one course in each of the two following cluster areas:

• Cluster A (Biological Science): These courses are defined as those for which the learning goals are primarily related to biology. This includes courses covering topics in molecular biology, genetics, evolution, environmental science, experimental methods, and human health. This category may also cover courses whose focus is on learning how to use bioinformatic tools to understand experimental data.
• Cluster B (Computational Sciences): These courses are defined as those for which the learning goals involve computing, inference, or mathematical modeling, broadly defined. This includes courses on algorithms, computing languages or structures, mathematical or probabilistic concepts, and statistics. This category would include courses whose focus is on biological applications of such topics.

In the below link we give some relevant such courses, but students can take courses beyond this list; for courses not on this list, the Head Graduate Advisor will determine to which cluster a course can be credited. For classes that have significant overlap between these two clusters, the department which offers the course may influence the decision of the HGA as to whether the course should be assigned to cluster A or B.

See below for some suggested courses in these categories:

Suggested Coursework Options  (link is external)

Second Year & Beyond

At the beginning of the fall of the second year, students begin full-time dissertation research in earnest under the supervision of their Dissertation advisor. It is anticipated that it will take students three (up to four) semesters to complete the 6 course requirement. Students are required to continue to participate annually in the computational biology seminar series.

Qualifying Examination

Students are expected to take and pass an oral Qualifying Examination (QE) by the end of the spring semester (June 15th) of their second year of graduate study. Students must present a written dissertation proposal to the QE committee no fewer than four weeks prior to the oral QE. The write-up should follow the format of an NIH-style grant proposal (i.e., it should include an abstract, background and significance, specific aims to be addressed (~3), and a research plan for addressing the aims) and must thoroughly discuss plans for research to be conducted in the dissertation lab.

Click here for more details on the guidelines and format for the QE.

Advancement to Candidacy

After successfully completing the QE, students will Advance to Candidacy. At this time, students select the members of their dissertation committee and submit this committee for approval to the Graduate Division. Students should endeavor to include a member whose research represents a complementary yet distinct area from that of the dissertation advisor (ie, biological vs computational, experimental vs theoretical) and that will be integrated in the student’s dissertation research.

Click here to view the rules for the composition of the committee and the form for declaring your committee.

Meetings with the Dissertation Committee

After Advancing to Candidacy, students are expected to meet with their Dissertation Committee at least once each year.

Teaching Requirements

Computational Biology PhD students are required to teach at least two semesters (starting with Fall 2019 class), but may teach more. The requirement can be modified if the student has funding that does not allow teaching. Starting with the Fall 2019 class: At least one of those courses should require that you teach a section. Berkeley Connect or CMPBIO 293 can count towards one of the required semesters.

The Dissertation

Dissertation projects will represent scholarly, independent and novel research that contributes new knowledge to Computational Biology by integrating knowledge and methodologies from both the biological and computational sciences. Students must submit their dissertation by the May Graduate Division filing deadline (see Graduate Division for date) of their fifth–and final–year.

Special Requirements

Students will be required to present their research either orally or via a poster at the annual retreat beginning in their second year.