Chau-Wai Wong
He/Him/His
Biography
Chau-Wai Wong received his B.Eng. degree with first-class honors in 2008, and an M.Phil. degree in 2010, both in electronic and information engineering from The Hong Kong Polytechnic University, and his Ph.D. degree in electrical engineering from the University of Maryland, College Park, in 2017.
He is currently an Associate Professor at the Department of Electrical and Computer Engineering, Forensic Sciences Cluster, and Secure Computing Institute, North Carolina State University. He was a data scientist at Origin Wireless, Inc., Maryland, USA. He was a Research Assistant with the University of Maryland. He was a Research Associate/Assistant with The Hong Kong Polytechnic University. His research interests include machine learning, multimedia forensics, signal and image processing, data analytics, and video coding, with a recent focus on federated learning and generative models.
Dr. Wong was the recipient of multiple scholarships and awards, including an NSF CAREER Award, Top Paper and Student Paper Awards, HSBC Scholarship, and Hitachi Scholarship. He is a senior member of the IEEE and a member of the APSIPA. He is an elected member of IEEE IFS TC (2024–26), IEEE MSA TC (2022–26) and APSIPA IVM TC (2020–24). He was a technical program committee (TPC) chair for IH&MMSec’25, an area chair for ICME’21–24, a workshop chair for MIPR’22, a tutorial chair for VCIP’20, and an area chair for MIPR’19. He has given tutorials at WIFS’21, CVPR’22, ICASSP’23, and MIPR’24. He was involved in organizing the third edition of the IEEE Signal Processing Cup in 2016 on electric network frequency forensics.
Education
-
Ph.D.
2017
Electrical Engineering
University of Maryland, College Park -
Master's
2010
Electronic and Information Engineering
The Hong Kong Polytechnic University, Hong Kong -
Bachelor's
2008
Electronic and Information Engineering
The Hong Kong Polytechnic University, Hong Kong
Expert In
Machine Learning
Recent News

ECE Students Win Best Poster Award from CAEML
Posted on January 13, 2023 | Filed Under: News
Priyank Kashyup and Yuejiang Wen each won the Best Poster Award at CAEML’s Fall 2022 Semiannual Meeting.

New authentication system uses unclonable, microscopic features to detect counterfeits with smartphone
Posted on July 20, 2022 | Filed Under: Faculty
ECE assistant professor, Chau-Wai Wong, creates a new authentication system that gets down to the microscopic level to detect counterfeits using a smartphone.

AI Researchers Tackle Longstanding ‘Data Heterogeneity’ Problem for Federated Learning
Posted on July 15, 2022 | Filed Under: AI/ML and News
NC State ECE researchers have developed a new approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly and accurately.
Media Mentions

Video-Style Compression Brings Federated Learning to Smartphones, Other Bandwidth-Limited Devices
February 17, 2022
Designed to work around the bandwidth requirements of privacy-preserving federated learning, this new approach cuts the communication cost.