Anand J. Kulkarni 
Optimization Methods for Product and System Design [PDF ebook] 

Multi-objective Optimization of Ventilated Brake Disc based on Finite Element Simulation.- Multi Response Optimization on Process Parameters of WEDM for Ti-6Al-4V Alloy Using Grey Relational Approach.- Tuning of Complex Coefficient Fractional Complex Order Controllers for a Generalized System Structure — An Optimisation Approach.- A Review on Intelligent Optimization Techniques based Fault Detection and Diagnosis in Power System Applications.- Prediction of Surface Roughness using Desirability Concept and Support Vector Machine for Fused Deposition Modeling Part.- An Extremum Model for the Performance Analysis of a Loop Heat Pipe using Nano-fluids.- Selected Multi-Criteria Decision-Making Methods and their Applications to Product and System Design.- Cohort Intelligence Solution to Bank Asset Liability Management.- Cohort Intelligence Solution to Goal Programming Problems from Financial Management Domain.- Solving Asset and Liability Management Problem using Cohort Intelligence and Goal Programming.- Proposing a New Feature Clustering Method in order to the Binary Classification of Covid-19 in Computed Tomography Images.- Deep Learning Framework for Brain Tumor and Alzheimer Disease Prognosis using MRI Images.- Genetic Algorithm to Maximize the Tourist’s Satisfaction: An Assessment of Technology Adoption for a Tourist App.

Anand J Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore, an MS in Artificial Intelligence from the University of Regina, Canada, a Bachelor of Engineering from Shivaji University, India and a Diploma from the Board of Technical Education, Mumbai. He worked as a 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 a Professor and Associate Director of the Institute of Artificial Intelligence at 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 the 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.