معرفی
Yi Ren serves as an Associate Professor in the Department of Aerospace and Mechanical Engineering within the School for Engineering of Matter, Transport and Energy at Arizona State University. He leads the Design Informatics Laboratory, pioneering computational and data-driven methodologies to transform engineering and industrial design processes.
His academic foundation includes:
- Ph.D. in Mechanical Engineering from the University of Michigan (2011)
- M.S. in Mechanical Engineering from the University of Michigan (2009)
- B.S. in Automotive Engineering from Tsinghua University, China (2007)
Ren's research integrates optimization, product/configuration design, human-computer interaction, and machine learning to develop human-AI collaborative design frameworks. His work emphasizes differential games, reinforcement learning, and data-driven design augmentation, with applications spanning autonomous systems, swarm robotics, and secure AI development. This interdisciplinary approach bridges theoretical advances with real-world engineering challenges.
Analysis of his recent publications reveals a pronounced focus on solving complex multi-agent decision problems using game-theoretic approaches combined with deep learning. His work systematically addresses state-constrained differential games, asymmetric information settings, and human feedback integration in control systems—primarily advancing autonomous driving safety, swarm coordination, and generative model security.
Ren actively mentors graduate students through dissertation and research courses (MAE 792/799) and has secured research funding including a University of Michigan project on "Creativity through Collaborative Human-Machine Interactions" (2015-2016).
His Design Informatics Laboratory at ASU develops computational tools that enhance engineering design through human-AI collaboration, with current emphasis on game-theoretic optimization, adversarial robustness, and physical interaction modeling.
