ISG Talks are sponsored by Couchbase.
Zexin Li (UCR): Unified Full-stack Co-design for On-device Machine Learning
February 27 @ 1:00 pm - 2:00 pm
For this week’s ISG seminar, we’ll have an invited speaker: Zexin Li from University of California, Riverside to give us a talk.
Time & Location:
Friday Feb 27, 2026, 1:00 PM – 2:00 PM
Donald Bren Hall 3011, ICS, UC Irvine
(Zoom link will be shared by request)
Lunch will be provided.
Title:
Unified Full-stack Co-design for On-device Machine Learning
Abstract:
The integration of advanced artificial intelligence into Cyber-Physical Systems (CPS), such as multirotor UAVs and wheeled mobile robots, promises a future of edge intelligence. However, deploying complex machine learning models directly onto real-time embedded systems presents significant challenges, primarily due to strict timing constraints, limited memory, and dynamically changing environments. This talk presents a unified full-stack co-design approach to manage these complex, multidimensional trade-offs.
Bio:
Zexin Li is a Ph.D. student at the University of California, Riverside, advised by Cong Liu. His research interests lie in interdisciplinary fields of real-time embedded systems and on-device machine learning.
Volunteer:
Keming Li
Sponsors:
