NextG Networks & O-RAN
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.
My research develops secure and resilient next-generation networks. The work combines network theory, optimization, and AI to keep mission-critical systems connected and trustworthy under stress, attack, and uncertainty.
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.
Multi-agent reinforcement learning and agentic AI for joint slice admission, PRB allocation, and resource orchestration in open radio access networks, with resilience to jamming and disruptive users.
A holistic zero trust approach for trusted communications over untrusted 5G infrastructure, continuously monitoring trust posture, micro-segmenting workloads, and adaptively controlling access. Supported by the National Science Foundation.
Modeling, computation, and software tools for analyzing and mitigating risk in IT, OT, and IoT supply chains for critical and automotive infrastructure. Supported by DHS, CIRI, and the Michigan Economic Development Corporation.
Secure and reconfigurable multi-layer network design for critical information dissemination in the Internet of Battlefield Things, and feedback-based resilient UAV connectivity for remotely deployed mobile IoT.
$2.31M total in research funding ($1.37M as PI, $0.94M as Co-PI).