Dr. Yuheng Bu is an assistant professor in the Department of Electrical & Computer Engineering (ECE) and a new member of the Warren B. Nelms Institute for the Connected World.

Dr. Bu’s research interests lie in the intersection of machine learning, information theory and signal processing. He leverages the tools from information theory and signal processing to develop theoretically justified learning algorithms for diverse applications, including fair machine learning, uncertainty quantification, model compression, and anomaly detection.

“My research aims to advance the Internet of Things (IoT) by employing information theory and signal-processing techniques to develop robust and trustworthy algorithms in distributed learning systems. These algorithms could enhance IoT systems by ensuring reliable data processing, improving anomaly detection, and addressing challenges related to human-AI interactions in diverse IoT applications. The Warren B. Nelms Institute is an excellent platform for learning and collaboration with experts spanning all facets of IoT.”

Before joining the University of Florida, Dr. Bu was a postdoctoral research associate at the Research Laboratory of Electronics and Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology (MIT). He received his Ph.D. degree at the Coordinated Science Laboratory and the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (UIUC) in 2019. Before that, he received a B.S. degree (with honors) in Electronic Engineering from Tsinghua University in 2014.

Find more information on Dr. Bu’s homepage.