His broad research interest is in the design and operation of decision procedures for societal-scale Cyber-physical Systems (CPS) with a focus on public transit systems, emergency response systems, and power grids. For these systems, his lab investigates the principled non-myopic optimization methods that not only consider the system operations but also consider resilience, performance, and assurance. He currently leads smart and connected community research efforts focusing on design and optimization of public transit systems in Chattanooga, TN and Nashville, TN through his group smarttransit.ai and the emergency response system optimization through his group statresp.ai.

He has published more than 150 research articles and has an h-index of 31. Key research results include the design of hierarchical decision procedures for responding to motor vehicle crashes, the design of efficient public transit operations and the design of transactive energy systems. His other contributions include middleware for online fault-detection and recovery in software-intensive distributed systems and a robust software model for building cyber-physical applications, along with spatial and temporal separation among different system components, which guarantees fault isolation.