Tutorial 1

Prof. Anand J Kulkarni
Symbiosis Center for Research and Innovation
Symbiosis International (Deemed University)
Pune 412 115, MH, India

Title: AI based Optimization of Micro-machining Processes

Abstract: The main focus of the presentation will be on discussing application of AI based Socio-inspired Cohort Intelligence (CI) Algorithm solving 21st century Non Traditional Machining (NTM) Processes. The CI algorithm mechanism will be discussed in brief with a review of its existing applications. The NTM processes such as Electric Discharge Machining (EDM), Abrasive Water Jet Machining (AWJM) and several Tool Based Micro-machining Processes along with the applications will also be discussed. The results, significance and implications will also be elaborated. The presentation will be based on my recent publication: Shastri, A.S., Nargundkar, A., Kulkarni, A.J.: “Socio-inspired Optimization of Advanced Manufacturing Processes”, Springer Series in Advanced Manufacturing, (2021) (DOI: 10.1007/978-981-15-7797-0; ISBN: 978-981-15-7797-0).

Biography: Anand J Kulkarni holds a PhD in Distributed Optimization from Nanyang Technological University, Singapore, MS in Artificial Intelligence from University of Regina, Canada, Bachelor of Engineering from Shivaji University, India and Diploma from the Board of Technical Education, Mumbai. He worked as a Research Fellow on a Cross-border Supply-chain Disruption project at Odette School of Business, University of Windsor, Canada. Anand was Head of the Mechanical Engineering Department at Symbiosis International University, Pune, India for three years. Currently, he is Associate Professor at the Symbiosis Center for Research and Innovation. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, multi-agent systems, complex systems, probability collectives, swarm optimization, game theory, self-organizing systems and fault-tolerant systems. Anand pioneered socio-inspired optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, and Socio Evolution & Learning Optimization Algorithm. He is the founder and chairman of Optimization and Agent Technology (OAT) Research Lab and has published over 50 research papers in peer-reviewed journals, chapters and conferences along with 4 authored and 6 edited books. Anand has delivered expert research talks in countries such as USA, Canada, Singapore, Malaysia and France.