Education

Research

My research focuses on advancing the security, resilience, and trustworthiness of intelligent cyber-physical systems (CPS) operating in adversarial and safety-critical environments. My work spans cyber-physical and embedded systems security, trustworthy and adversarially robust AI, autonomous and connected vehicle security, secure edge intelligence, and explainable AI for safety-critical applications. I investigate how intelligent systems fail under adversarial conditions and develop resilient architectures, learning frameworks, and runtime defenses that preserve operational integrity in autonomous, distributed, and resource-constrained systems.

Secure and resilient autonomous systems Trustworthy AI for safety-critical CPS Secure edge intelligence and distributed CPS infrastructures Explainable and fair AI for healthcare and health-equity-driven domains

This research has been supported by the NSF CAREER Award, NIH AIM-AHEAD, Google-CAHSI, and the University of Texas System.

Please check my research page and publications for more details.

Teaching

I develop and teach hands-on courses in cybersecurity, computer and network security, cloud computing, embedded systems, and computer networks. My teaching emphasizes practical system-building, security analysis, and research-informed learning experiences that prepare students to work on real-world computing and cybersecurity challenges.

Please see my teaching page for more details.

Recent News

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May 2026

Paul won the Outstanding Doctoral Dissertation Award from the College of Engineering. Congratulations Paul!

May 2026

Afia Successfully defended her dissertation. Congratulations Dr. Anjum!

April 2026

Our paper “Revisiting Asymmetries in Black-box Link Stealing against Graph Neural Networks” was accepted to ICML 2026.

March 2026

I received the Outstanding Early Career Research Award from the College of Engineering.

March 2026

Our paper “Digital Twin–Guided AI Path Planning for Connectivity-Aware Mobility” was published in IEEE Open Journal of the Communications Society.

February 2026

Our paper “Unveiling Graph Copycats: Inference Attacks with Student Models” was accepted to Privacy Enhancing Technologies (PETS) 2026.

December 2025

Arkajyoti successfully defended his dissertation. Congratulations Dr. Mitra!

Selected Publications

Full publication list
ICML 2026

P. Agbaje and H. Olufowobi, “Revisiting Asymmetries in Black-box Link Stealing against Graph Neural Networks,” International Conference on Machine Learning, 2026.

PETS 2026

P. Agbaje, A. Anjum, A. Mitra, and H. Olufowobi, “Unveiling Graph Copycats: Inference Attacks with Student Models,” Proceedings on Privacy Enhancing Technologies, 2026.

WACV 2026

A. Yousaf, S. S. Win, M. Coffee, and H. Olufowobi, “MorphXAI: An Explainable Framework for Morphological Analysis of Parasites in Blood Smear Images,” IEEE/CVF Winter Conference on Applications of Computer Vision, 2026.

VehicleSec 2025

A. Mitra, P. MohajerAnsari, A. Anjum, P. Agbaje, M. D. Pesé, and H. Olufowobi, “Beyond the Glow: Understanding Luminescent Marker Behavior Against Autonomous Vehicle Perception Systems,” USENIX VehicleSec, 2025.

IoTJ 2024

A. Anjum, P. Agbaje, S. Hounsinou, N. Guizani, and H. Olufowobi, “D-NDNoT: Deterministic Named Data Networking for Time-Sensitive IoT Applications,” IEEE Internet of Things Journal, 2024.

RTSS 2021

S. Hounsinou, M. Stidd, U. Ezeobi, H. Olufowobi, M. Nasri, and G. Bloom., “Vulnerability of controller area network to schedule-based attacks,” IEEE Real-Time Systems Symposium, 2021.

IEEE TVT 2019

H. Olufowobi, C. Young, J. Zambreno, and G. Bloom, “SAIDuCANT: Specification-based automotive intrusion detection using controller area network (CAN) timing,” IEEE Transactions on Vehicular Technology, 2019.

Awards and Funding Highlights

2025–2030

NSF CAREER Award

Securing Connected Autonomous Vehicle Stack Against Adversarial Input. $598,895.

2026

Outstanding Early Career Research Award

College of Engineering Research Awards.

2025

Blossoms of Discovery Award

Tenure-Track Research Award, Computer Science and Engineering Research Awards.

2024–2026

Google-CAHSI Cybersecurity Curriculum Fellowship

Curriculum fellowship to support cybersecurity education at HSIs. $25,000.

2024–2025

NIH AIM-AHEAD Award

Data-driven diagnosis and prediction of heart disease outcomes in Chagas disease with ethical and explainable AI/ML models. $250,000.

2023–2024

NIH AIM-AHEAD Research Fellowship

Improving health equity in algorithmic decision-making using explainable AI techniques. $50,000.

Research Sponsors