Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

Kai Zeng

Contact Information MORE LESS

  • 703-993-5933 (office)
  • Nguyen Engineering Building, 3252
    4400 University Drive, MS 1G5
    Fairfax, VA 22030

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Biography

Kai Zeng is an Associate Professor in the Department of Electrical and Computer Engineering at the Volgenau School of Engineering. He is also affiliated with the Department of Computer Science and Cyber Security Engineering. Prior to coming to Mason, he was a faculty member in the Department of Computer and Information Science at University of Michigan - Dearborn and a postdoctoral scholar in the Computer Science Department at University of California, Davis (UCD). His research interests include 5G wireless security, CPS/IoT security, spectrum sharing, machine learning, and physical layer security.

Degrees

PhD, Electrical and Computer Engineering, Worcester Polytechnic Institute (2008)

More Information

Faculty Rank: Associate Professor

Personal Websites:

Research

2019 - 2021, Secure 5G Wireless Communications, funded by Commonwealth Cyber Initiative (CCI).

2019 - 2020, Best Practices in Cybersecurity for Utilities: Secure Remote Access, funded by Protect Our Power.

2018 - 2020, Cyber P3 Scholarship Program, funded by NSA.

2016 - 2019, TWC: Small: Secure Near Field Communications between Mobile Devices, funded by National Science Foundation.

2016 - 2018, COTS Approach to Information Security, funded by Progeny Systems (ONR STTR, Phase II).

2016 - 2017, USAR's Cyber Solider Development, funded by NSA.

2015 - 2018, EARS: Collaborative Research: Intelligence Measure of Cognitive Radio Networks, funded by National Science Foundation.

2012 - 2018, CAREER: Towards Reliable and Efficient Network Monitoring in White Space, funded by National Science Foundation.

2015, Secure Communications in Wireless Environments, funded by MITRE.

Research Interests

5G Wireless Security, Spectrum Sharing, CPS/IoT Security, Machine Learning, Physical Layer Security, Network Forensics

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