
About
Zi Wang is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University's School of Computer and Cyber Sciences. His research focuses on wearable technologies, biometric authentication, wireless sensing, and human-computer interaction. He teaches CYBR 2600: Networking & Cyber Security.
- Education: Ph.D. in Computer Science (Florida State University, 2022), MS in Transportation and Highway Engineering (Beijing Jiaotang University, 2014), BS in Information Science (Beijing Jiaotang University, 2010)
Wang's research interests include developing novel methods for earable-based biometric authentication (e.g., ToothSonic and Earslide), 3D human pose estimation using WiFi signals (GoPose, Winect), and acoustic-based sensing systems for user activity tracking. His work bridges machine learning, wireless communication, and healthcare applications.
His publications span topics like ear canal deformation sensing for gesture recognition, lip dynamics-based authentication, and robust nighttime depth estimation. His articles reflect a focus on practical IoT and wearable solutions for security, health monitoring, and human activity analysis.
- Professional Service: Reviewer for ACM CHI, IEEE TSMC, Sensors; Committee Member for CANS Conference
Wang’s contributions to secure authentication systems and wireless sensing have positioned him as a leader in wearable computing and IoT security.
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