My research explores the security, reliability, and performance of cyber-physical systems (CPS) and edge computing platforms, with a particular focus on the intersection of hardware security, embedded systems, and AI-driven cybersecurity. I lead the Cyber-Physical Systems Security Research Laboratory at Hampton University, where my students and I investigate emerging vulnerabilities in microcontrollers, single-board computers, and IoT devices—systems increasingly used in critical infrastructure, transportation, autonomous platforms, and smart environments.
My work integrates fault injection, system emulation, intrusion detection modeling, hardware–software co-analysis, and AI/ML-based defense mechanisms to build resilient and trustworthy next-generation CPS architectures.
Attack surfaces in real-world CPS
Sensor spoofing, side-channel threats, and physical-layer vulnerabilities
Secure microkernel design for embedded platforms
System-level reliability modeling under adversarial conditions
Bit-flips, stuck-at faults, and memory corruption
Zero-bit and byte-level fault effects
System crash conditions and performance degradation
Fault propagation in autonomous or mission-critical systems
Federated intrusion detection systems on edge IoT
Energy-aware FL models for transportation systems
ML-driven anomaly detection for microcontroller-based systems
AI-assisted threat intelligence for embedded devices
Sensor/actuator interfacing
Low-power designs
Real-time embedded systems
System-on-chip (SoC) simulation and testing
Integration of cybersecurity and CPS into undergraduate curricula
Use of retrieval-augmented generation (RAG) and LLMs in engineering education
Curriculum development for entrepreneurship and applied engineering
Pedagogy for hands-on embedded systems learning