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DTSTART;TZID=America/Los_Angeles:20260227T130000
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SUMMARY:Zexin Li (UCR): Unified Full-stack Co-design for On-device Machine Learning
DESCRIPTION:For this week’s ISG seminar\, we’ll have an invited speaker: Zexin Li from University of California\, Riverside to give us a talk. \nTime & Location:\nFriday Feb 27\, 2026\, 1:00 PM – 2:00 PM\nDonald Bren Hall 3011\, ICS\, UC Irvine\n(Zoom link will be shared by request) \nLunch will be provided. \nTitle:\nUnified Full-stack Co-design for On-device Machine Learning \nAbstract:\nThe 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. \nBio:\nZexin 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. \nVolunteer:\nKeming Li \nSponsors:
URL:https://isg.ics.uci.edu/event/zexin-li-ucr-unified-full-stack-co-design-for-on-device-machine-learning/
LOCATION:DBH 3011
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