Neeraj Sharma

Maharishi Markandeshwar University, Mullana

Papers

Total Citations

H-Index

About

Neeraj Sharma’s research bridges advanced manufacturing, robotics, and materials engineering, with a focus on optimizing processes for high-performance applications. His most cited work, “WEDM of Al/SiC/Ti composite: A hybrid approach of RSM-ARAS-TLBO algorithm” (2022, 28 citations), introduces a novel hybrid framework combining response surface methodology, multi-criteria decision-making, and a teaching-learning-based optimization algorithm to enhance wire electrical discharge machining of lightweight aluminum-based hybrid composites—critical for automotive, aerospace, and robotics components. This contribution directly addresses the challenge of machining advanced materials with precision and efficiency. Sharma also explores post-processing techniques in “LASER Cladding—A Post Processing Technique for Coating, Repair and Re-manufacturing” (2019, 11 citations), highlighting sustainable manufacturing solutions. Extending into robotics, his work “Implementation of simultaneous localization and mapping for TurtleBot under the ROS design framework” (2024, 6 citations) demonstrates practical applications in autonomous navigation. By integrating computational optimization, materials science, and robotic systems, Sharma’s research offers impactful tools for industries requiring lightweight, durable components and intelligent manufacturing. His interdisciplinary approach continues to shape efficient, scalable solutions in modern engineering.