Series Editor: Dr. Prasenjit Chatterjee, MCKV Institute of Engineering, West Bengal, India; Dr. Loveleen Gaur, Amity International Business School (AIBS), India; and Dr. Morteza Yazdani, ESIC Business & Marketing School, Madrid, Spain

Scope: Reflecting the interdisciplinary and thematic nature of the series, Concise Introductions to (AI) and Data Science presents cutting-edge research and practical applications in the area of Artificial Intelligence and data science. The series aims to share new approaches and innovative perspectives in AI and data analysis from diverse engineering domains to find pragmatic and futuristic solutions for society at large. It publishes peer-reviewed and authoritative scholarly works on theoretical foundations, algorithms, models, applications and case studies on specific issues. The monographs and edited volumes will be no more than 75,000 words.

Audience: The series will attract a diverse audience including researchers, industry practitioners, engineers, entrepreneurs, graduate and doctoral students from all engineering disciplines working in and across the fields of AI, data science, analytics, computer science, machine learning, etc. The concise nature of the books will especially appeal to new entrants to the field, professionals needing to research new subjects, as well as anyone needing to understand the Advanced New Society.

About the Series Editor:
Dr. Prasenjit Chatterjee is currently working as an Associate Professor and Head of Mechanical Engineering Department at MCKV Institute of Engineering, India. He has over 80 research papers in various international journals and peer-reviewed conferences including International Journal of Production Research, Applied Soft Computing, Computers and Industrial Engineering, Management Decision, Clean Technologies and Environmental Policy, Journal of Cleaner Production, Journal of Natural Fibers, Benchmarking: an International Journal, OPSEARCH, International Journal of Advanced Manufacturing Technology, Materials and Design, Robotics and Computer Integrated Manufacturing to name a few. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award and University Gold Medal. He has been the Guest Editor of several special issues in different SCI, Scopus and Emerging Sources Citation Index (Clarivate Analytics) journals. He has authored and edited several books on decision-making approaches, sustainable systems, supply chain and sustainability modelling. Dr. Chatterjee is one of the developers of two new multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).

Dr. Loveleen Gaur, Professor, Program Director (Artificial Intelligence and Business Intelligence and Data Analytics), Senior IEEE member and Series Editor. She is working with Amity International Business School, Amity University, Noida, and is an established author, researcher, and has filed three patents in IoT. For over 16 years she has served in India and abroad in different capacities. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in over three hundred scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks. She has specialized in the fields of Information Sciences IoT, Data Analytics, E-commerce and E-Business, Data Mining, and Business Intelligence. Prof. Gaur pursued research in truly inter-disciplinary areas and authored and co-authored around 10 Books with renowned International and National publishers like Elsevier, Springer, Taylor, and Francis. She is invited as a Guest Editor for Springer NASA Journal and Emerald Q1 journal. She has published more than 60 research papers in SCI and Q1 Journals. She has chaired various positions in International Conferences of repute and is a reviewer with IEEE, SCI and ABDC Journals. She has also conducted various FDP in Big Data, Data Analytics and Business Intelligence. She is actively involved in various projects of the Government of India and abroad. She has been honoured with prestigious National and International awards like “Senior Women Educator & Scholar Award” by National Foundation for Entrepreneurship Development on Women’s Day, “Sri Ram Award” by Delhi Management Association (DMA) and “Distinguished Research Award” by Allied Academies presented this award in Jacksonville, Florida and “Outstanding research contributor” award by Amity University.

Dr. Morteza Yazdani is currently associated with ESIC Business & Marketing School, Madrid, Spain as an Assistant Professor in the Department of Market Research and Quantitative Methods. Previously he worked at Universidad Loyola Andalucia, Seville campus. Dr. Yazdani is actively engaged in research in a diverse domain of Management and Operations specifically decision-making theories, supply chain management and sustainable development. He teaches several courses including Industrial Organizations, Quality Control & Inspections, Operations Management and Management Theories. He has published numerous research papers in high impact journals and peer-reviewed conferences including International Journal of Production Research, Applied Soft Computing, Computers and Industrial Engineering, Management Decision, Clean Technologies and Environmental Policy, Journal of Cleaner Production, Annals of Operations Research, Soft Computing, Materials and Design to name a few. Dr. Yazdani is the developer of a new multiple-criteria decision-making method called Combined Compromise Solution (CoCoSo).

Submission to the series:
Please send proposals to one of the 3 editors:
dr.prasenjitchatterjee6@gmail.com
gaurloveleen@yahoo.com
morteza_yazdani21@yahoo.com

Published and Forthcoming Titles