Generative AI for Design
May 2, 2025
About
The Gen AI for Design Workshop brings together researchers in Design, Architecture, Computer Science, Mechanical Engineering, Music, and other related fields to shape future research in generative AI, focusing on performance-based design—an approach that prioritizes achieving specific measurable outcomes in areas like structural integrity, energy efficiency, acoustic performance, material optimization, airflow dynamics, lighting quality, and real-time responsiveness in interactive systems.
The topics can include AI-driven optimization in design processes, generative methods for sustainable architecture, acoustics, lighting, immersive environments for gaming, AI-assisted creativity in music and sound design, multi-disciplinary applications of machine learning in design, human-AI collaboration in creative fields, AI-driven code generation for complex system designs, AI-enhanced user interface and user experience (UI/UX) design, algorithmic generation of virtual and augmented reality environments, and any other topic related to performance-based design. Both in-progress projects and published research are allowed.
Call for Submissions
All submissions are handled via OpenReview. The LaTeX template is made available on Overleaf.
Abstracts:
Please submit an abstract (150–300 words) by Jan 20th (deadline extended) to be considered for a presentation or poster. Abstracts should highlight their connection to performance-based Generative AI.
Submitting the abstract before the deadline is mandatory to be considered for participating in the workshop.
Extended abstracts:
Extended abstracts are due by Feb 10th to secure a spot. Submissions should be a maximum of 3 pages in length, excluding references, figures, and tables, with 3–5 figures and tables. Appendices are not permitted. As there will be no published proceedings, presenting at this workshop will not interfere with future publications.
Submissions should include the motivation to the work, clearly state the contributions in the context of the current literature, describe the methodology and show preliminary results and their potential impact. Submissions will be evaluated based on novelty, clarity, technical innovation and potential impact. Decisions on selected abstracts will be sent by Feb 28, 2025.
Presentations and Posters
Submitted abstracts will be considered for both oral presentations and poster sessions. A selection of abstracts will be chosen for oral presentations, while others will be featured in the poster session. The review process will be double-blind and authors will be notified of their presentation format upon acceptance. Each presentation is allocated an 8-minute slot, with an additional 2 minutes dedicated to questions and the change of speaker.
Best Presentation Award
The Best Presentation Award will be announced at the end of the event. Presentations will be evaluated based on scientific merit and innovation, clarity and organization, engagement with the audience, visual and technical quality, contribution and impact.
Registration
Participation is free, but spots are limited and registration before March 28, 2025 is required to guarantee a spot. Lunch will be provided for the presenters.
Important Dates and Deadlines
- Abstract submission: Jan 20, 2025
- Extended abstract submission: Feb 10, 2025
- Author notification: Feb 28, 2025
- Registration: March 28, 2025
- Workshop program announced: April 18, 2025
- Presentation submission: April 25, 2025
- Workshop: May 2, 2025
Keynote Speaker
Dr. Mark Fuge is a Full Professor and Chair of Artificial Intelligence in Engineering Design within the Department of Mechanical and Process Engineering at ETH Zurich. He studies fundamental scientific and mathematical questions behind how humans and computers can work together to design better complex engineered systems, from the molecular scale all the way to systems as large as aircraft and ships using tools from Computer Science (such as machine learning, artificial intelligence, and submodular optimization) and Applied Mathematics (such as graph theory, category theory, and statistics). He received his Ph.D. from UC Berkeley and has received an NSF CAREER Award, a DARPA Young Faculty Award, and a National Defense Science and Engineering Graduate (NDSEG) Fellowship.
Schedule
Sessions will be announced after selecting the abstracts. The workshop schedule will be announced later; please note that lunch will be provided.
Venue
The workshop will take place at the MIT Media Lab (Building E14) located at 75 Amherst St, Cambridge MA 02139, USA
Sponsorship
This workshop is supported by the MIT IBK Program and MIT MAD.
Organizing Committee
- Alaa Algargoosh (Chair), Assistant Professor in Architecture at Virginia Tech and a Research Affiliate at MIT Media Lab.
- Nikhil Singh, Assistant Professor in Computer Science at Dartmouth College.
- Sarah Mokhtar, PhD Candidate in Architecture at MIT.
- Mohammad Mohammadi Amiri, Assistant Professor in Computer Science at RPI.
- Faez Ahmed, Assistant Professor in Mechanical Engineering at MIT.
Questions
If you have any questions, are interested in reviewing, or wish to contact the organizers, please reach out to [email protected].
Information
May 2, 2025
MIT Media Lab (Building E14)
75 Amherst St, Cambridge