Sripath Mishra

Graduate Student

Graduate Teaching Assistant

Joined department: Spring 2022

Education

I build anomaly and intrusion detection systems for distributed and edge environments: detectors that hold up as traffic, topology, and threats shift, fit inside millisecond inference budgets on constrained hardware, and produce decisions an operator can actually audit. The methods I work with are federated learning, retrieval-augmented adaptation, graph neural networks, and explainable AI (XAI).

UAV swarm networks are where I stress-test all of it. Mobility-induced drift, hard compute and bandwidth budgets, and adversaries that coordinate across nodes make them the hardest deployment setting I know for detection — which is why results that survive there tend to transfer

Selected Publications