B. Ramesh

|B. Ramesh - Contributing Author|Prof. Dr. B. Ramesh has 2 years of industrial experience and 18 years of teaching experience in engineering education including administrative experience as Programme Director and HoD. He is presently working as Dean-Industry 4.0 and Professor in the Department of Mechanical Engineering, J.J. College of Engineering and Technology, part of the esteemed Sowdambikaa Group of Institutions in Tiruchirappalli. He is KUKA Certified Industrial Robot Programmer. His areas of specialization includes machining, process optimization, predictive modeling, composite materials, materials characterization, vibrational analysis, NDT, friction welding, WEDM, laser machining, surface engineering and tribology. He has published 65 research papers in renowned International Journals, including 26 in SCI/SCIE journals, 28 in Scopus-indexed journals and 11 in Google Scholar-indexed journals. Additionally, he has contributed 5 research papers to International Conference proceedings. Furthermore, he has authored 11 books, 10 book chapters and edited 2 books. He has published 8 innovation patents and fetched 6 design patents, showcasing his innovative capabilities. He is a Reviewer and Editorial Board Member for many renowned International Journals. He has been a Guest Editor for Special issues in 6 SCI journals and 2 Scopus journals. Also, he is a recognized Supervisor of Anna University and Hindustan Institute of Technology and Science, where he guides Ph.D./M.S.(By Research) scholars in their research pursuits. He has been nominated to Government of India for the prestigious “National Award to Teachers 2023”.

Publications

Machine Learning in Industrial IoT Applications for Safety, Security, Asset Localization, Quality Assurance, and Sustainability in Smart Production
Machine Learning in Industrial IoT Applications for Safety, Security, Asset Localization, Quality Assurance, and Sustainability in Smart Production
Srinivasa Reddy Vempati, Sai Prasanna Kumar J. V., D. Apparao, B. Ramesh, Ramya Maranan, P. Varaprasada Rao. © 2024. 18 pages.
This study explores the integration of machine learning techniques, notably Support Vector Machines (SVM) and Convolutional Neural Networks (CNN), with industrial production...