Prashant Singh Rana

Thapar Institute of Engineering & Technology

Papers

Total Citations

H-Index

About

Prashant Singh Rana is a researcher at the intersection of artificial intelligence, mechatronics, and healthcare, with a focus on developing intelligent systems that bridge computational models and real-world physiological applications. His work centers on applying machine learning and deep learning techniques to solve complex problems in e-health, biomechanics, and robotics. A key contribution is his exploration of generative adversarial networks for time-series prognostication, specifically using statistical outlier detection to predict muscle forces—a critical advancement for controlling prosthetic limbs and athletic performance monitoring. Rana also co-authored "An OpenSim guided tour in machine learning for e-health applications," which has garnered early citations for its practical framework integrating musculoskeletal simulation with AI. His chapter "AI in Mechatronics" further demonstrates his breadth, covering machine learning, computer vision, and soft computing for enhancing mechatronic systems. While his citation counts are still growing, Rana’s work is notable for its direct human engagement, targeting applications that improve quality of life through smarter, AI-driven assistive technologies. His research represents a promising convergence of computational intelligence and human-centric engineering.