Liang Zhao | |
|---|---|
| Occupation(s) | Computer scientist and academic |
| Awards | NSF Career Award |
| Academic background | |
| Education | Ph.D. Computer Science M.S. Control Theory and Control Engineering B.S. Automation |
| Alma mater | Virginia Polytechnic Institute and State University Northeastern University |
| Thesis | Spatio-temporal Event Detection and Forecasting in Social Media (2016) |
| Academic work | |
| Institutions | Emory University |
Liang Zhao is a computer scientist and academic. He is an associate professor in the Department of Compute Science at Emory University.[1]
Zhao's research focuses on data mining, machine learning, and artificial intelligence, with particular interests in deep learning on graphs, societal event prediction, interpretable machine learning, multi-modal machine learning, generative AI, and distributed deep learning.[2] His book titled Graph Neural Networks: Foundations, Frontiers, and Applications has been published by Springer. He published articles in journals and conferences, some of which have won Best Paper Awards.[3] Zhao received the Oracle for Research Grant Award, Cisco Faculty Research Award, Amazon Research Award[4] and Meta Research Award.[5] He also won the Jeffress Trust Award for deep generative models for biomedical research, and the NSF Career Award for his research on explainable and interactive AI for spatial and graph data.[6]
Zhao was a Computing Innovation Fellow Mentor for the Computing Community Consortium[7] and is an IEEE Senior Member.[8]