Suleyman Uludag

Principal Investigator (PI) | David M. French Professor & Director of Academic Programs, Computer Science
Suleyman Uludag

Biography

Suleyman Uludag is a faculty member in computing education whose work focuses on cybersecurity, artificial intelligence, and hands-on pedagogy. His research explores the intersection of AI and cybersecurity, with an emphasis on translating research advances into classroom-ready instructional materials. He has led and contributed to NSF-supported projects and has published in venues such as ASEE and FIE on innovative approaches to experiential learning, gamification, and lab-based education. His work aims to bridge the gap between emerging technologies and engineering education by developing scalable, reproducible learning environments that foster active learning, adversarial thinking, and real-world problem solving.

Professional Interests

Teaching

Cybersecurity, Networking, Machine Learning

Research

Blockchain, Software Defined Networks, IoT, Intrusion Detection, Denial of Service Attacks, Privacy and Security in Smart Grid, Software Defined Optical Networks, Educational Research

Education

  • Ph.D., Computer & Information Science — 2006

Current Courses

  • CSC 335 — Computer Networks I
  • CYB 440 — Data Science for Cybersecurity
  • CYB 503 — System and Web Cybersecurity
  • CSC 535 — Advanced Computer Networking
  • CYB 540 — Algo ML for Cybersecurity

Selected Publications

  • O. Kagnici, T. Judd, H. Bisgin, A. Huseinovic, S. Uludag, A. Aslan, G. LaBelle (2026) “PASS-GAME Lab: A Gamified, Generative AI-Based Cybersecurity Laboratory for Password Security Education” — IEEE Frontiers in Education Conference (FIE)
  • O. Kagnici, T. Judd, H. Bisgin, A. Huseinovic, S. Uludag, A. Aslan, G. LaBelle (2026) “GenAI-PassLab: Advancing Password Security Learning Through Generative AI” — ASEE Annual Conference
  • A. Aslan, H. Bisgin, S. Uludag (2026) “Session-Robust Dual-Projection Representation Learning for EEG-Based Authentication” — NeurIPS
  • O. Kagnici, H. Bisgin, S. Uludag (2025) “Evaluating the Efficacy of GPT-Based Password Generation on Real World Data” — NSF SaTC Conference 2025
  • T. Judd, H. Bisgin, A. Huseinovic, M. Derani, S. Uludag (2024) “Coalescing Research into Modular and Safe Educational Cybersecurity Labs with AI Solutions” — IEEE FIE 2024
  • M. Knox, C. Tang, H. Bisgin, M. Mani, S. Uludag (2024) “Understanding the Transfer of Knowledge in Introductory Programming Classes” — IEEE FIE 2024
  • M. Knox, C. Tang, H. Bisgin, M. Mani, S. Uludag (2025) “Examining the Transfer of Knowledge across Programming Languages Using Mindshift Learning Theory” — in preparation
View full list on Google Scholar →

Research Grants & Funding

  • Funded — In Progress
    EAGER: NAIRR Pilot Expansion — Bridging the Gap: Coalescing Research into Educational Labs for the Application of Machine Learning Methodologies to Cybersecurity Threats
    National Science Foundation, Sep 2025–Aug 2027 ($300,000) · PI Suleyman Uludag, PI Halil Bisgin
  • Submitted for Review
    CyberAI Innovation: GAME-AMD4CYB — Gamified, AI-Enabled Cybersecurity Laboratories for Experiential Learning at Scale
    National Science Foundation, Jan 2027–Dec 2029 ($499,998) · PI Suleyman Uludag, PI Khalid Malik, PI Halil Bisgin
  • Completed
    Network Parameter Representation and Quality of Service Routing in the Internet
    Cisco Systems, Inc., Jul 2007–Feb 2009 ($28,500) · PI Suleyman Uludag

Contact

  • uludag@umich.edu
  • 810-766-6823
  • College of Innovation & Technology — 207 MSB