Pramod P. Khargonekar
Papers
4
Total Citations
45
H-Index
4
About
Pramod P. Khargonekar is a pioneering researcher whose work bridges control theory, cyber-physical systems (CPS), and robotics, with a recent emphasis on integrating human elements into complex automated systems. His major contributions span foundational advances in piecewise linear approximations for control and robotics—where his Minvar algorithm provided provable convergence guarantees—to stochastic optimization for multi-robot surveillance, enabling sub-optimal yet computationally tractable policies for real-time decision-making. His 2023 paper on cyber-physical-human systems (CPHS) has already garnered 22 citations, reflecting the growing importance of human-in-the-loop frameworks in CPS. Notably, his work on robotic surveillance (with over 11 combined citations) addresses critical challenges in perimeter security by developing algorithms that assist human operators in classifying incursions, balancing autonomy with human oversight. Khargonekar’s research has been widely recognized for its theoretical rigor and practical impact, influencing fields from autonomous systems to smart infrastructure. His ability to unify control theory, optimization, and human factors marks him as a leading figure in advancing next-generation intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Cyber-physical-human systems fundamentals and applications22 citations · 2023
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