Senthilkumar Mohan

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Senthilkumar Mohan is a researcher at the forefront of cognitive cyber-physical systems and autonomous intelligent systems, with a particular focus on bridging human-machine interaction and real-world automation. His work centers on integrating cognitive engineering principles into cyber-physical architectures, enabling more adaptive and context-aware systems across critical domains including healthcare, industrial automation, and transportation management. Mohan’s most cited paper, “Cognitive Cyber‐Physical System Applications” (2021, 15 citations), provides a foundational framework for understanding how cognitive computing enhances decision-making in socio-technical systems, from human-robot collaboration to smart agriculture. More recently, his pioneering study “A novel approach for self-driving car in partially observable environment using life long reinforcement learning” (2024, 2 citations) introduces a lifelong learning paradigm that allows autonomous vehicles to continuously adapt to incomplete sensory data—a significant step toward robust, real-world deployment. Though early in its citation impact, this work signals Mohan’s commitment to solving persistent challenges in autonomous navigation. His research is particularly valuable for students and engineers seeking to understand how cognitive architectures can make cyber-physical systems more resilient, intuitive, and capable of operating under uncertainty.