Mingkui Wei

Mingkui Wei is an Associate Professor at the Department of Cyber Security Engineering, George Mason University (Fairfax campus). His research focuses on network security, particularly application-layer threats, using mathematical modeling, simulation, and machine learning to combat cyber threats. Previously, he held a faculty position in Computer Science at Sam Houston State University before joining George Mason in 2021.

• Education:
  • PhD in Computing Engineering, North Carolina State University (2016)
  • MS in Information Systems, Southeast University (China, 2008)

His research interests span cutting-edge cybersecurity domains including serverless computing vulnerabilities, CDN-assisted attacks, biometric authentication systems, and smart grid security. Notable contributions include analyzing adversarial hidden link threats via large language models and developing defenses against Wi-Fi spoofing using geolocation APIs. His work also addresses cache exploitation risks and real-time latent fingerprint analysis using smartphones.

Recent publications (2021–2024) highlight trends in serverless computing security, CDN exploitation, and web application hardening. Major themes include mitigating DoS attacks through function-level exploitation, enhancing CDN-based geolocation security, and improving phishing detection via machine learning.

Awards: No awards explicitly mentioned in the provided text.

Advising & Grants: No advising/grant details provided. His research has been published in top-tier venues like IEEE INFOCOM, Usenix Security, and ACM CCS.

Labs/Teams: Active in the Cyber Security Engineering research community at George Mason University.