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About

Prasanna Sridhar is a researcher whose work sits at the intersection of robotics, autonomous systems, and intelligent simulation, with a particular focus on System of Systems (SoS) architectures and multi-agent environments. His most influential contribution, "Towards Optimization of a Real-World Robotic-Sensor System of Systems" (2006, 48 citations), established a foundational framework for integrating heterogeneous robots and sensors to tackle complex threat detection challenges in unstructured environments. Building on this, his 2007 work on integrating independently operable systems into cohesive SoS architectures further demonstrated how human-controlled robots, swarm agents, and distributed sensors can collaborate toward intelligent decision-making. Sridhar has also made significant contributions to simulation methodology. His early development of V-Lab, a distributed discrete-event environment fusing soft-computing tools with DEVS-based modeling, provided researchers and engineers with a versatile platform for testing multi-agent systems before real-world deployment. His 2008 work on multi-criteria decision making in sensor networks extended these ideas to power and node density management in mobile robotic clusters. Across his career, Sridhar's research has consistently bridged theoretical modeling and practical system integration, earning over 150 cumulative citations and leaving a meaningful mark on autonomous systems and simulation research communities.