Optimization Methods for Product and System Design

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.

Anand J Kulkarni 擁有新加坡南洋理工大學的分散優化博士學位、加拿大雷吉納大學的人工智慧碩士學位、印度希瓦吉大學的工程學學士學位，以及孟買技術教育委員會的文憑。他曾在加拿大溫莎大學的奧黛特商學院擔任研究員。Anand 在印度浦那的辛比奧西斯國際大學工作超過六年。目前，他擔任印度浦那 MITWPU 人工智慧研究所的教授及副主任。他的研究興趣包括優化演算法、多目標優化、連續、離散及組合優化、群體優化和自組織系統。Anand 開創了多種優化方法論，如群體智慧、意識形態演算法、期望演算法以及社會演化與學習優化演算法。Anand 是優化與代理技術研究實驗室的創始人，並在同行評審的知名期刊、書籍章節和會議上發表了超過70篇研究論文，以及5本著作和10本編輯書籍。他是Springer和Taylor & Francis的首席系列編輯，並擔任多本Elsevier期刊的編輯。他還在多家報紙和雜誌上撰寫有關人工智慧的文章。Anand 在美國、加拿大、新加坡、馬來西亞、印度和法國等國家發表過專家研究演講。