World Class Interactive Webinars Congress.

Speakers

Anand J Kulkarni, PHD, MASC,BE, NG,DME

Research Professor & Associate Director, Institute of Artificial Intelligence, MIT World Peace University,124 Paud Road, Kothrud, Pune

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 Research Fellow at Odette School of Business, University of Windsor, Canada. Anand worked with Symbiosis International University, Pune, India for over six years. He is currently working as Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, swarm optimization and self-organizing systems. Anand pioneered optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, and Socio Evolution & Learning Optimization Algorithm.

Anand is the founder of Optimization and Agent Technology Research Lab and has published over 70 research papers in peer-reviewed reputed journals, chapters and conferences along with 5 authored and 10 edited books. Anand is the lead series editor for Springer and Taylor & Francis as well as editor of several Elsevier journals. He also writes on AI in several newspapers and magazines. Anand has delivered expert research talks in countries such as the USA, Canada, Singapore, Malaysia, India and France.

Title: Cohort Intelligence Optimization Methodology and Applications

Abstract: There are several AI based optimization algorithms proposed in past couple of decades. These algorithms can be classified into bio-inspired, swarm based, physics based and socio-inspired methods. Cohort Intelligence (CI) Algorithm is one of the socio-inspired methods. The talk will cover the rationale of the CI algorithm, the method, the applications in the areas of robotics, logistics, healthcare and manufacturing.