![]() His research in application of AI/ML in manufacturing is focused on using data-driven and human-machine interaction techniques to infer complex manufacturing process capability knowledge typically acquired by human experts through years of experience. His work on new process development is focused on novel surface modification processes such as water cavitation peening and other hybrid processes for improving the surface finish and mechanical properties of conventionally and additively manufactured metal parts for aerospace and biomedical applications. ![]() His research in precision material removal process science focuses on understanding surface generation mechanisms, process-structure-property relationships, and tribological behavior of metals and non-metals through experiments and modeling. His research interests in these areas include the science of precision material removal processes, new manufacturing process development including novel surface modification methods, application of artificial intelligence and machine learning (AI/ML) to solve complex problems in manufacturing, and advanced industrial robotics for precision manufacturing. Melkote’s primary area of research is Manufacturing and his secondary area of research is Tribology. Manufacturing and Tribology Precision machining, hybrid processes, surface modification, AI/ML for manufacturing, robotics for manufacturingÄr.Prior to this, he was a Post-doctoral Research Associate at the University of Illinois at Urbana-Champaign where he conducted research in Machining and Machine Tools Systems in the group led by the Late Professor Richard E. ![]() Melkote began at Tech in 1995 as an Assistant Professor. M.S., Washington State University, 1989. ![]() Ph.D., Michigan Technological University, 1993. ![]()
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