I am an Associate Professor of Electrical and Computer Engineering at the University of Michigan-Dearborn working at the intersection of wireless communications, cybersecurity, and AI-driven network management. My research develops secure and resilient NextG networks, cyber-physical systems, and ultra-reliable low-latency communications for mission-critical applications.
Prof. Farooq and team contributed the wireless scanning subsystem (the antennas mounted on the robot) and the on-board software that lets WiseBot…
Filed U.S. provisional patent application: "Online Detection and Containment of Disruptive User Equipment (UE) in Radio Access Networks." Inventors: X. Wu and J. Farooq (Application No. 64/080,683).
Our paper "Risk-Aware Resource Orchestration in Multi-Tier 5G Edge-Cloud Networks" was accepted in Intent-Driven Network: Techniques and Applications, Springer Wireless Network Series. Congratulations Xingqi!
Our paper "Jamming-Resilient PRB Reservation for Latency-Critical O-RAN Network Slicing" was accepted in IEEE DySPAN 2026 ML-Spec Workshop, Washington D.C., USA. Congratulations Elahe!
Our paper "Delay-Aware Reinforcement Learning for O-RAN Control under Stochastic Reward Feedback" was accepted in IEEE Networking Letters. Congratulations Xingqi!
Our paper "Dynamic Multi-Modal UAV Control for Optimized Coverage and Backhaul Connectivity in Spatially Unstructured and Dispersed User Environments" was accepted in IEEE Transactions on Mobile Computing. Congratulations Yuhui!
New book published: Cyber Resilience in Next-Generation Networks (Foundations and Trends in Networking).
My group builds networks that stay secure and keep working under stress, attack, and uncertainty, from the wireless edge to autonomous systems.
Network slicing, admission control, and multi-agent resource orchestration for 5G and 6G open radio access networks, with a focus on ultra-reliable low-latency communications.
Proactive and automated security for untrusted infrastructure, including zero trust architectures, cyber risk quantification, and supply chain risk analysis for mission-critical systems.
Distributed orchestration of UAV networks for coverage, connectivity, and resilient service delivery in dynamic, infrastructure-challenged, and contested environments.
Reinforcement learning, agentic AI, and large language model methods for autonomous management and orchestration of next-generation networks.
Prospective students and collaborators interested in NextG networks, cyber resilience, and autonomous systems are welcome to reach out.
