University of Michigan-Dearborn

Cyber Resilient
Networks Lab

Secure, resilient, and intelligent next-generation networks.

The lab

Secure, resilient, and intelligent next-generation networks.

The Cyber Resilient Networks (CyReN) Lab develops the theory and systems that keep next-generation networks connected, secure, and intelligent under stress, attack, and uncertainty. Our work spans 5G and 6G open radio access networks, zero trust security, autonomous aerial systems, and AI-driven network management for mission-critical applications.

76+Publications
4Researchers
4Research themes
5Sponsors
Sponsors NSFU.S. DoDDHSMEDCUniversity of Michigan
Research

What we work on

01

NextG & O-RAN

Network slicing, admission control, and multi-agent resource orchestration for ultra-reliable low-latency 5G and 6G open radio access networks.

O-RANSlicingURLLC
02

Cyber Resilience & Zero Trust

Zero trust architectures, cyber risk quantification, and supply chain risk analysis that keep untrusted infrastructure trustworthy.

Zero TrustCyber RiskSupply Chain
03

Autonomous & Aerial Systems

Distributed orchestration of UAV and robotic networks for coverage, connectivity, and resilient service in contested environments.

UAVRoboticsCoverage
04

AI-Driven Network Management

Reinforcement learning, agentic AI, and large language model methods for autonomous network management and orchestration.

Reinforcement LearningLLM Agents
All research and projects →
News

Latest

  • Sep 2026 Our paper "Collaborative Cloud-Edge Computing via LLM-Guided Constrained Reinforcement Learning" was accepted in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2026), Singapore. Congratulations Xingqi and Yuhui!
  • Jul 2026 Our paper "Dependency-Aware Task Offloading via Quantum Graph Attention Network-based Deep Reinforcement Learning in Collaborative Edge-Cloud Systems" was accepted in International Conference on Computer Communications and Networks (ICCCN 2026). Congratulations Xingqi and Yuhui!
  • Jun 2026 U.S. provisional patent application filed: "Online Detection and Containment of Disruptive User Equipment (UE) in Radio Access Networks." Inventors: X. Wu and J. Farooq (Application No. 64/080,683).
  • Jun 2026 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!
All news →

Join the lab

We are looking for motivated Ph.D. and master's students interested in NextG networks, cyber resilience, and autonomous systems. Reach out with a CV and a short note on your interests.

mjfarooq@umich.edu