I am an Associate Professor in the Department of Computer Science and Engineering at The Ohio State University and the director of OSU AIoT and Machine Learning Systems Lab. I received my Ph.D. from University of Southern California and B.S. from Peking University, and spent one year as a Postdoctoral Associate at Cornell University.

The key mission of my lab is to to realize the vision of Artificial Intelligence of Things. To achieve this mission, we focus on its core challenges related to sensing, intelligence, connectivity, efficiency as well as its real-world applications. Achieving such goal requires a combination of approaches. My work draws insights from a broad set of disciplines including mobile/edge computing, AI/machine learning, distributed systems, computer networks, and human-centered computing.

My work has been recognized by the NSF CRII Award, Facebook/Meta Faculty Research Award, Amazon Research Award, and MSU Innovation of the Year Award. I am the 4th Place Winner of Google MicroNet Challenge, the Third Place Winner of NSF Hearables Challenge, and the champion of NIH Pill Image Recognition Challenge. I am also the recipient of seven best paper awards and nominations and the inaugural USC ECE SIPI Distinguished Alumni Award in the Junior/Academia category for my contributions to mobile computing, edge AI, and AIoT in my early career.