Dr. Li joined the University of Maryland, College Park as a tenure-track Assistant Professor in Aug. 2023. During the deferral time before joining, he was a research associate at Qualcomm AI Research.

Dr. Li received his Ph.D. in 2022 from the Department of Electrical and Computer Engineering (ECE) at Duke University. Li has also earned a Ph.D. in Computer Science from the University of Arkansas. He has an MS in Management of Innovation and Venture Capital from Peking University, and a BS in Computer Science from Henan University in China.

His research interests lie in the intersection of machine learning and edge computing, with a focus on building large-scale networked and trustworthy intelligent systems to solve practical problems in a collaborative, scalable, secure, and ubiquitous manner. Dr. Li has been recognized with a variety of awards, including the IEEE TCCPS Outstanding Ph.D. Dissertation Award, ACM KDD Best Student Paper Award in 2020, and the 2022-2023 Duke ECE Department Outstanding Dissertation Award.

My research interests lie in the intersection of machine learning and edge computing, with a focus on building large-scale networked and trustworthy intelligent systems to solve practical problems in a collaborative, scalable, secure, and ubiquitous manner.

Federated Learning

Distributed Machine Learning

Machine Learning System

Edge Computing

AI for IoT

Trustworthy Machine Learning

A list of publications can be found on Google Scholar.

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Resensys, Founded by ECE Alum Mehdi Kalantari (ECE Ph.D. '05), Monitors Bridges Worldwide Company rapidly expanding from origins with Maryland Technology Enterprise Institute (MTECH) Ventures Incubator 

ECE Ph.D. Student Shanchuan Liang Recognized for Research in Sustainable Energy Liang is recipient of 2024 Hulka Energy Research Fellowship

K.J. Ray Liu Elected to National Academy of Engineering Long-time ECE Faculty Member Recognized for Contributions to Signal Processing