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Dr. Tozal is a Francis Patrick Clark/BORSF Endowed Associate Professor in the School of Computing and Informatics at the Â鶹ҹÊÐ and a member of the Informatics Program. He received his Ph.D. in Computer Science from the University of Texas at Dallas in 2012. His research primarily focuses on the practical and theoretical aspects of complex systems, data science, and artificial intelligence. He specifically develops novel machine learning and graph-theoretic methods to study and address various challenges in cybersecurity, decision support systems, and health informatics to improve predictive analytics and data-driven decision processes.

Ph.D. in Computer Science, 2012
University of Texas at Dallas

• Complex Systems
• Data Science
• Artificial Intelligence
• Cybersecurity

• "Impact of Vaccination on Pandemic Spread Patterns in the United States", Niloofar Heidarikohol, Mehmet Engin Tozal, Mehedi Hassan, Taylor & Francis, Applied Operations and Analytics Journal, Volume 2, No 1, pp. 1-30, 2026
• "Automating Adversary-Driven Cyber Resiliency (ACR): AI-Enhanced Threat Prediction for Military Systems in Cloud Environments", Steven Noel, William Heinbockel, Dan Fitzpatrick, Mehmet Engin Tozal, NATO STO Research Symposium on AI Security and Assurance for Military Systems, pp. 1-13, McLean, VA, USA, 2025
• "Detecting Anomalous Links in Networked Systems Exhibiting Scale-Free-Like Behaviors", Mehedi Hassan, Mehmet Engin Tozal, Vipin Swarup, Steven Noel, Raju Gottumukkala, Vijay Raghavan, IEEE Systems Journal, Volume 19, No 3, pp. 742-753, 2025
• "Detecting Anomalous Communication Behaviors in Dynamically Evolving Networked Systems", Mehedi Hassan, Mehmet Engin Tozal, Vipin Swarup, Steven Noel, Raju Gottumukkala, Vijay Raghavan, IEEE Transactions on Information Forensics and Security, Volume 20, pp. 3031-3044, 2025
• "Inferring Internet Topology at Point of Presence Level", A. Yasin Nur and Mehmet Engin Tozal, IEEE Systems Conference, pp. 1-7, Montreal, Quebec, Canada, 2024