Sudipta Chattopadhyay

Singapore University of Technology and Design, National University of Singapore

Papers

Total Citations

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About

Sudipta Chattopadhyay is a leading researcher in the safety and security of cyber-physical systems (CPS), with a particular focus on collaborative robots (cobots) and real-time embedded software. His work addresses the critical intersection of artificial intelligence, robotics, and timing analysis, ensuring that AI-enabled systems operating in close proximity to humans are both reliable and secure. A key contribution is his pioneering research on physical adversarial attacks against robotic arms, demonstrating how deep learning models in cobots can be compromised, a study that has garnered 23 citations. To counter such threats, he has developed innovative defense strategies, such as boundary data selection for adversarial training, enhancing the robustness of safety-critical systems. Beyond security, Chattopadhyay has made foundational contributions to timing analysis, integrating the effects of operating systems and application code to provide execution time guarantees for real-time software. His work on compositional design for multi-robot systems, using Assume-Guarantee Contracts to synthesize control software, further showcases his impact. With a research portfolio that spans from foundational timing guarantees to cutting-edge adversarial machine learning, Chattopadhyay is shaping the future of safe and secure autonomous systems.