Education
- Ph.D., Systems and Computer Science, Howard University, Washington DC, 2019
- M.S, Electrical Engineering - Computer Systems, California State Polytechnic University Pomona, 2014
- B.S, Computer Science, Fountain University Osogbo, 2011
Research
My research focuses on the security of cyber-physical systems and AI/ML models used in critical infrastructure, particularly healthcare applications. I investigate cybersecurity challenges in connected autonomous vehicles, distributed systems, and real-time embedded systems, with an emphasis on the hardware-software interface. Additionally, I explore interpretability, explainability, and biases in AI/ML models and privacy concerns in healthcare, intelligent transportation, and smart grid systems. My work has been supported by federal grants from the National Institutes of Health, the AIM-AHEAD initiative, and the University of Texas System.
Please check my research page and publications for more details.
Teaching
I develop and teach practical, hands-on courses in information security, cloud computing, embedded systems, and computer network organization.
Please see my teaching page for more details.
Recent news
- October 2024: I received the Google-CAHSI Cybersecurity Curriculum Fellowship to adapt and adopt cybersecurity curriculum at HSIs. Total: 25k
- September 2024: I have received an NIH AIM-AHEAD ABC-EE grant to work on explainable AI/ML models to predict heart disease outcomes in Chagas Disease. Total: 250k
- September 2024: Our paper “Simulating Load Sharing for Resource Constrained Devices” published in IEEE Access.
- September 2024: Welcome to our new PhD student, Aqsa Yousaf!
- August 2024: Presented our work on "Improving Health Equity in Algorithmic Decision-Making Using Explainable AI" at AIHES 2024.
- July 2024: Our paper "Evaluating Large Language Models for Enhanced Intrusion Detection in Internet of Things Networks" accepted in IEEE GLOBECOM 2024.
- June 2024: Our paper “D-NDNoT: Deterministic Named Data Networking for Time-Sensitive IoT Applications” published in IEEE IoT Journal.
- April 2024: My Ph.D. student, Paul Agbaje, is awarded the Kelcy Warren Graduate Fellowship for Engineering at UTA, Congratulations Paul.
- March 2024: Congratulations to my PhD students, Afia Anjum and Paul Agbaje for securing internship offers at Los Alamos National Laboratory!
- March 2024: Our paper “MCFICS: Model-based Coverage-guided Fuzzing for Industrial Control System Protocol Implementations” has been accepted at IEEE IECON24.
- March 2024: Our paper "From Weeping to Wailing: A Transitive Stealthy Bus-off Attack" has been accepted at IEEE ITS.
- Feburary 2024: Hosted a workshop on “Adversarial attacks and the Robustness of Object Detection Algorithms for Autonomous Vehicles" at OurCS@DFW.
- Feburary 2024: My Ph.D. student, Afia Anjum, won the best Ph.D. Lightning Talk award at the Student Computing Research Festival (SCRF), 2024, Congratulations Afia.
- Feburary 2024: Our paper “Towards named data networking technology: Emerging applications, use cases, and challenges for secure data communication” published in Future Generation Computer Systems.
- January 2024: Our paper "AutoWatch: Learning Driver Behavior with Graphs for Auto Theft Detection and Situational Awareness" has been accepted at VehicleSec '24.
- January 2024: Our paper "Deadline-Based Class Assignment for Time-Sensitive Network Frame Preemption" has been accepted at ICIT24.
- December 2023: Our paper “IoT-MGSec: Mitigating Man-in-the-Middle Attacks in IoT Networks Using Graph-Based Learning” published in ICMLA '23.
- December 2023: Our paper “Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning” published in BDCAT '23.
Selected Publication
- Nwafor, E., Baskota, U., Parwez, M.S., Blackstone, J. and Olufowobi, H., Evaluating Large Language Models for Enhanced Intrusion Detection in Internet of Things Networks. IEEE Global Communications Conference, GLOBECOM '24. [PDF]
- Anjum, A., Agbaje, P., Hounsinou, S., Guizani, N. and Olufowobi, H.. D-NDNoT: Deterministic Named Data Networking for Time-Sensitive IoT Applications. IEEE IoTJ (JIF 10.6). [PDF]
- Agbaje, P., Olufowobi, H., Hounsinou, S. and Bloom, G., 2024. From Weeping to Wailing: A Transitive Stealthy Bus-Off Attack. IEEE TITS (JIF 7.9). [PDF]
- Agbaje, P., Anjum, A., Talukder, Z., Islam, M., Nwafor, E. and Olufowobi, H.. FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing. 2023 IEEE International Conference on Edge Computing and Communications, IEEE EDGE '23. [PDF]
- Agbaje, P., Anjum, A., Mitra, A., Bloom, G. and Olufowobi, H., 2022, April. A framework for consistent and repeatable controller area network IDS evaluation. International Workshop on Automotive and Autonomous Vehicle Security, AutoSec '22 (Best Paper). [PDF]
- Hounsinou, S., Stidd, M., Ezeobi, U., Olufowobi, H., Nasri, M. and Bloom. Vulnerability of controller area network to schedule-based attacks. 42nd IEEE Real-Time Systems Symposium, RTSS '21. [PDF]
- Olufowobi, H., Young, C., Zambreno, J. and Bloom, G. SAIDuCANT: Specification-based automotive intrusion detection using controller area network (CAN) timing. IEEE Transactions on Vehicular Technology, IEEE TVT (JIF 6.1). [PDF]