DeCoDE Lab is based in the Mechanical Engineering department at MIT. Our vision is to create a world where humans and AI design together to solve our biggest challenges. We use Machine Learning and Optimization methods to enable better design of complex mechanical systems and assist teams of human designers to transcend their potential.
Our work lies at the intersections of Mechanical Engineering, Artificial Intelligence, and Human-Computer Interaction. A few questions we are interested in: How can we synthesize or discover new designs which have never been seen before? How can we enable distributed teams of people to create new products? How can we design, develop, and deploy advanced engineering material systems for complex non-linear inverse problems? How can we allocate people to teams to maximize efficiency? How can we quickly and reliably measure the creativity of thousands of ideas? How can we filter useful ideas out of hundreds of submissions? While these questions address different areas, our underlying approach is to mathematically characterize these questions as generalizable machine learning and optimization problems, make testable predictions for new problems, and tie together or understand individual empirical results that researchers have generated.
The techniques we study apply to a wide range of problems in Engineering. We aim at transforming the way humans design products and measure our success by the impact of our work on society. We believe in reproducible and open-source science whenever possible, and do our part by making most of our research code and papers available online.
16th Aug - Congratulations to Amin and his team for winning the third prize at the ASME IDETC Hackathon.
20th Jun - Two articles accepted to ICML 2020 workshop on Negative dependence and submodularity for ML.
14th May - Congratulations to Kristen for winning Spirit of Maryland Award, A. James Clark School Dean's Award, UMD Department of Mechanical Engineering Chairman's Award, University Medal Finalist and Senior Marshall Award in her senior year.
30th Apr - Our proposal titled "AI-driven Design Synthesis (ADDS) for Personalized Bicycles" in collaboration with Dr. Dan Frey has been selected for the Mathworks Seed Fund Program award.
20th Apr - Our paper titled "An Algorithm for Multi-Attribute Diverse Matching" accepted to IJCAI 2020.
13th Apr - Congratulations Kristen for winning the prestigious Ida M. Green Fellowship award at MIT.
13th Apr - Four articles accepted to ASME IDETC 2020.
16th Jan - Our paper "Forming Diverse Teams From Sequentially Arriving People" got accepted at Journal of Mechanical Design.
15th Oct - Faez gave a virtual talk at Intel Corporation's IT R&D team.
6th Oct - Faez gave a seminar on "Automated discovery of high-quality novel designs" at the APETS Symposium.
30th Sep - Faez gave a seminar at the MIT MechE Alliance.
11th May - Faez gave a virtual seminar at Autodesk Research, hosted by Dr. Hyunmin Cheong.
Prospective Ph.D. students - MechE at MIT admits students to the department itself, not to an individual advisor. If you are an already-admitted student at MIT, feel free to get in touch.
If you are interested in joining the DeCoDE lab, drop me an email with the following text in your subject line "Join DeCoDE:" followed by the position you are interested in (for example, a postdoc, intern, visiting researcher, etc.).