TALK: Design Democratization in the Age of Machine Learning

Speaker: Faez Ahmed , University of Maryland

Date: Friday, May 03, 2019

Time: 3:00 PM to 4:00 PM

Public: Yes

Location: 32-G449 (Kiva)

Event Type: Seminar

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Host: John Leonard, MIT CSAIL and MechE

Contact: John J. Leonard,

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Reminder Subject: TALK: Design Democratization in the Age of Machine Learning

Abstract: Design democratization -- the ability of people all over the world to collaborate together to design physical products can transform the way we traditionally think about designing products. Optimization and machine learning methods provide a unique opportunity to enable design democratization. In this talk, I will talk about three problems faced by organizations in gathering and processing ideas from distributed teams: 1) How does one form teams to evaluate design ideas? 2) How does one reliably measure the creativity of ideas? and 3) How does one filter high quality and diverse ideas out of hundreds of submissions? I will discuss how matching, ranking, and novelty estimation algorithms developed by me address these problems. The scientific and mathematical work done to answer these questions lay the foundations for representation, learning, and optimization of discrete items. These methods apply widely to other domains such as robotics, computer-aided design and information retrieval.


Faez Ahmed is a Ph.D. candidate in Mechanical Engineering at the University of Maryland, College Park. His interests are in studying principled methods for representation, learning, and optimization of discrete problems occurring in design. Faez works at the intersection of Machine Learning, Engineering Design, and Human-Computer Interaction to enable globally distributed teams of designers to participate in the design process. Prior to his Ph.D., he worked as a Reliability Engineer for Rio Tinto in Western Australia. He is a Future Faculty Fellow at the University of Maryland and recipient of the Kulkarni Fellowship. He is also the lead organizer of ACM New York and has ongoing collaborations with other non-profits, to educate the local community about computing and data science.

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Created by John J. Leonard Email at Monday, April 29, 2019 at 10:50 AM.