IMOS x AI Center - AI4Science series - Prof. Faez Ahmed "Rethinking Engineering Design with Generative AI"


Event details

Date 10.07.2024
Hour 15:0016:00
Speaker Professor Faez Ahmed, MIT
Location Online
Category Conferences - Seminars
Event Language English

The talk is jointly organized by the EPFL IMOS Lab and the EPFL AI Center.

The talk will be followed by a coffee session.

Rethinking Engineering Design with Generative AI

Generative AI is reshaping many industries by offering innovative content creation approaches. While tools like ChatGPT have proven effective in multimedia, their application in engineering faces unique challenges, such as maintaining precision under varying requirements. This talk will explore some of these challenges, with an emphasis on achieving designs that are innovative, feasible, and achieve high functional performance. We will examine case studies across various engineering disciplines, including topology optimization, aerodynamic configurations, mobility systems, and kinematic synthesis.  Furthermore, we will explore how precision-focused generative AI can transcend mere mimicking statistical patterns to address performance, constraints, and innovation in engineering. The talk will show examples of AI-drive design copilots for engineering tasks along with covering methods that effectively combine multimodal generative models with engineering optimization and tools, highlighting how this fusion augments the design process. We will conclude by highlighting the broader impact of generative AI in facilitating design democratization and fostering rapid innovation across the engineering sector.

Short Bio: Prof. Faez Ahmed is the ABS Career Development Assistant Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He leads the Design Computation and Digital Engineering (DeCoDE) lab, with a research focus on Artificial Intelligence for engineering design. His recent work addresses the Generative AI-based synthesis of high-performance and novel designs, multi-modal representations, and the collaborative potential between human designers and machines. Prior to his appointment at MIT, Prof. Ahmed was a postdoctoral fellow at Northwestern University and earned his Ph.D. in Mechanical Engineering from the University of Maryland. He has industrial experience in Australia's railway and mining sectors, where he championed data-driven predictive maintenance initiatives. Prof. Ahmed is dedicated to enabling a future where humans and AI design together to solve the world's most pressing challenges.

Talk followed by a coffee session.

Practical information

  • General public
  • Free



Intelligence artificielle Artificial intelligence AI Engineering Generative AI

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