Ang Li

Dr. Ang Li is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Maryland, College Park (UMD), affiliated with the A. James Clark School of Engineering. He joined UMD in 2023 as a tenure-track faculty member, following a research associate position at Qualcomm AI Research. His research focuses on the intersection of machine learning and edge computing, emphasizing scalable, secure, and trustworthy intelligent systems. Dr. Li holds dual Ph.D.s in Electrical and Computer Engineering from Duke University (2022) and Computer Science from the University of Arkansas (2018), alongside an M.E. in Management of Innovation from Peking University and a B.S. in Computer Science from Henan University.

His work addresses challenges in federated learning, edge AI deployment, and ethical AI systems. Notable achievements include the IEEE TCCPS Outstanding Ph.D. Dissertation Award, ACM KDD Best Student Paper Award (2020), and multiple recent recognitions such as the Qualcomm Innovation Fellowship (2025) and Cisco Research Award (2025). Dr. Li currently leads a research group exploring topics like counterfactual fairness, efficient LLM serving on edge devices, and medical image domain adaptation.

Recent publications highlight contributions to federated learning frameworks (e.g., Hermes, FedHyper), edge computing optimizations (EdgeLoRA), and AI safety (Moderator). His group's work on MAPSeg achieved CVPR 2024 acceptance for medical image segmentation advancements. Grants include funding from Cisco for edge intelligence research. Dr. Li also serves on editorial and program committees, including IEEE TNNLS Associate Editor and ICLR 2025 Area Chair.