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Dr. Kyle Stein

Biography

Dr. Kyle Stein is an Assistant Research Scientist at the University of West Florida’s Center for Cybersecurity and AI. His research focuses on artificial intelligence for cybersecurity, with an emphasis on developing cyber-AI defenses that remain accurate under limited labeled data, evolving threats, and distribution shift. His work includes transformer-based packet modeling for enterprise and IoT malware detection, self-supervised pretraining and few-shot adaptation for deep packet inspection, vision-language models for open-world backdoor defense, and continual learning methods that preserve prior knowledge while adapting to new tasks. Dr. Stein has published peer-reviewed research in venues including ICCV, ICIP, MILCOM, IEEE Access, and other IEEE and international conferences. He has also served as a peer reviewer for journals and conferences including IEEE Access, IEEE TPAMI, MILCOM, and ICCV. His applied research experience includes work at Johns Hopkins University Applied Physics Laboratory and the U.S. Department of Homeland Security, where he contributed to projects involving AI, cybersecurity, critical infrastructure protection, and predictive cyber threat detection. Dr. Stein holds a Ph.D. in Intelligent Systems and Robotics from
the University of West Florida and was selected as an NSF CyberCorps Scholarship for Service Scholar.

Education

  • Ph. D., Intelligent Systems and Robotics, University of West Florida, 2026
  • M.S., Mathematical Sciences, University of West Florida, 2021
  • B.S., Interdisciplinary Natural Sciences, University of South Florida, 2018