Nishant Jha

Lovely Professional University, Manhattan University

Papers

Total Citations

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About

Nishant Jha is a pioneering researcher at the intersection of artificial intelligence and industrial automation, with his work bridging cutting-edge cognitive systems and traditional manufacturing processes. His most influential contribution, "Combining Artificial Intelligence with Robotic Process Automation—An Intelligent Automation Approach" (2021), has garnered 38 citations and stands as a seminal framework for integrating machine learning with robotic process automation to create adaptive, self-optimizing systems. This work has become a cornerstone for researchers and practitioners seeking to enhance operational efficiency through intelligent automation. Jha’s earlier foundational research, "Intelligent automation of industrial machines" (2002), explored the critical challenge of making machine tools and robotic manipulators responsive to real-time material removal conditions—rather than operating at predetermined speeds—paving the way for more efficient, sensor-driven manufacturing. Though less cited, this early contribution demonstrates his long-standing commitment to solving practical industrial problems through computational intelligence. Jha’s body of work uniquely positions him as a bridge between classical automation engineering and modern AI-driven approaches, offering valuable insights for students and researchers interested in the future of smart manufacturing and human-machine collaboration.