معرفی
Zhengdao Wang is a Professor in the Department of Cyber Security Engineering at George Mason University (GMU). Previously, he held a professorship at Iowa State University (2002–2023) and served as a Program Director at the National Science Foundation’s Division of Electrical, Communications, and Cyber Systems (2020–2022). He earned a PhD in Electrical Engineering from the University of Minnesota (2002), an MS from the University of Virginia (1999), and a BEng from the University of Science and Technology of China (1996).
His research focuses on machine learning, cybersecurity, communications, signal processing, and information theory. Notable contributions include advancements in reinforcement learning architectures, energy-harvesting systems, and secure communication protocols. His work has been recognized with awards such as the IEEE Signal Processing Society Best Magazine Paper Award (2003), IEEE Marconi Paper Prize (2004), and election as an IEEE Fellow (2016).
Key research themes include optimizing wireless networks, designing robust learning algorithms, and exploring theoretical limits of communication systems. Recent publications (2018–2021) highlight innovations in reinforcement learning frameworks, secure key generation, and nonconvex optimization techniques.
Professional contributions include editorial roles in top IEEE journals and leadership in international conferences. His interdisciplinary expertise bridges theoretical foundations and practical applications in cyber-physical systems.
