Bio

Short Bio

Jin Lu is an Assistant Professor in the School of Computing at the University of Georgia and a Faculty Fellow in the Institute for Artificial Intelligence. His research focuses on machine learning, optimization, foundation model adaptation, federated learning, multimodal sensing, and trustworthy AI for real-world systems.

Long Bio

Jin Lu is an Assistant Professor in the School of Computing at the University of Georgia. He received his PhD and MS in Computer Science and Engineering from the University of Connecticut and earlier earned BS and MS degrees in Applied Mathematics. Before joining UGA, he was an Assistant Professor at the University of Michigan-Dearborn and was affiliated with Precision Health and the Michigan Institute for Data Science.

His research develops rigorous, efficient, and deployable AI methods, with emphasis on optimization for machine learning, efficient adaptation and training of foundation models, federated and distributed learning, multimodal AI, and edge intelligence. His work has appeared in venues such as CVPR, ICCV, NeurIPS, EMNLP, MobiCom, SenSys, PerCom, ICCAD, and PAKDD, and he collaborates broadly across health, agriculture, engineering, and scientific computing.