Ramesh Chandra Poonia

Norwegian University of Science and Technology, Christ University

Papers

Total Citations

H-Index

About

Ramesh Chandra Poonia is a prominent researcher in computational intelligence, focusing on optimization algorithms, autonomous systems, and cyber-physical systems. His work bridges theoretical metaheuristics with practical engineering applications, particularly in vehicular ad hoc networks and robot path planning. Poonia’s most cited paper, “A performance evaluation of routing protocols for vehicular ad hoc networks with swarm intelligence” (2017, 24 citations), demonstrates his early impact in intelligent transportation systems. He further advanced the field with “Peregrine preying pattern based differential evolution for robot path planning” (2020, 12 citations), introducing a novel bio-inspired variant of differential evolution that efficiently solves complex robot navigation problems. His recent work, “Real-Time Data Analytics and Decision Making in Cyber-Physical Systems” (2024, 4 citations), addresses the critical integration of computational and physical processes for next-generation smart systems. Poonia also contributed to autonomous surface vehicle research with a comparative study on path planning algorithms (2021, 3 citations). His research consistently emphasizes practical, real-world applications of evolutionary computation and swarm intelligence, making significant strides in autonomous navigation and CPS analytics. With a growing citation record and diverse contributions spanning VANETs, robotics, and CPS, Poonia continues to shape the landscape of intelligent systems and optimization methodologies.