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Series: Sustainable Computing and Optimization

Series Editor(s): Prasenjit Chatterjee, Morteza Yazdani and Dilbagh Panchal

Scope: The objective of the series is to bring together global research scholars, experts, and scientists in the research areas of sustainable computing and optimization to share their knowledge and experiences on current research achievements in these fields. Since the series was launched in 2021, it has provided a golden opportunity for the research community to share their novel research results, findings, and innovations to a wide range of topics and applications. The series promotes sustainable computing and optimization methodologies to solve real-life problems mainly from engineering and management systems domains.

Topical coverage includes but is not limited to:
Ambient intelligent systems, artificial intelligence, big data, biological computing, cloud computing, computational intelligence, combinatorial optimization, computer vision, cyber Physical Systems, decision sciences, evolutionary computing, fuzzy computing, granular computing, image processing, IoT, knowledge-based system, machine learning, meta-heuristics, natural computing, pattern recognition, quantum computing, social sensing data, speech recognition, swarm intelligence, smart sensors collective intelligence, wireless sensor networks

Applications: Agriculture, biomedical systems, bioinformatics, business intelligence, circular economy, disaster management, e-learning and virtual campuses, education management, financial management, environmental policies, financial management, governance and planning, intelligent systems, management practices, production and operations management, smart grids and energy efficiency systems, smart engineering applications, social issues, supply chain management, surveillance tracking systems, transportation and logistics, urban and regional planning, waste management to name a few.

About the Series Editor(s):
Dr. Prasenjit Chatterjee is a Professor of Mechanical Engineering Department and Dean (Research and Consultancy) at MCKV Institute of Engineering (NAAC Accredited "A" Grade Autonomous Institute), West Bengal, India. He has over 8350 citations and 145 research papers in various international journals and peer reviewed conferences. He has authored and edited more than 45 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management and sustainability modelling. Prof. Chatterjee has been consecutively enlisted in the Top 2 % list of Researchers and Scientists for a single year published by Elsevier- Scopus and Stanford University under "Operations Research". He is the Lead Series Editor of "Sustainable Computing and Optimization" series and "Concise Introductions to AI and Data Science", Scrivener; AAP Research Notes on Optimization and Decision-Making Theories; Frontiers of Mechanical and Industrial Engineering, Apple Academic Press, co-published with CRC Press, Taylor and Francis Group and River Publishers Series in Industrial Manufacturing and Systems Engineering. Dr. Chatterjee is one of the developers of two 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).

Morteza Yazdani is a PhD in Business and Management sciences and currently works at Universidad Loyola Andalucia. He worked in University of Toulouse and European University of Madrid as post-doctoral and part time lecturer, respectively. He participates as editorial board of International Journal of Decision support system technology and at the same time reviewer of some journals like expert systems with applications, journal of cleaner production, soft computing, applied soft computing among others. His main research areas are decision-making modeling and fuzzy decision system in application of supply chain and energy systems. He has published in journals like Expert systems with applications, soft computing, journal of cleaner production, management decision, and clean technologies and environmental policy.

Dr. Dilbagh Panchal is currently working as Assistant Professor in the Department of Industrial and Production Engineering, Dr. B R Ambedkar National Institute of Technology Jalandhar, Punjab, India- 144011, an Institute of National Importance. He works in the area of Reliability and Maintenance Engineering, fuzzy Decision Making, Supply Chain Management and Operation Management. He obtained his Bachelor (hons.) in Mechanical Engineering from Kurukshetra University, Kurukshetra, India in 2007 and Masters with Gold Medal in Manufacturing Technology in 2011 from Dr B.R. Ambedkar National Institute of Technology Jalandhar, India. He has done his PhD from Indian Institute of Technology Roorkee, India in 2016. Presently, two PhD scholars are working under him. Five M. Tech dissertations have been guided by him and two are in progress. He has published 20 research papers in SCI/Scopus indexed journals. Five book chapters and one book have been also published by him under reputed publisher. With this six international conferences have been also attended by him. He also edited a book on advance multi-criteria decision making for addressing complex sustainability issues. He is currently a part of Associate Editors team of International Journal of System Assurance and Engineering Management. He is currently serving as the active reviewer of many reputed International journals under Elsevier, Springer and Inderscience publishers.

Submission to the series:


Dr. Prasenjit Chatterjee
Department of Mechanical Engineering, MCKV Institute of Engineering, Howrah - 711204, West Bengal, India.
E-Mail: dr.prasenjitchatterjee6@gmail.com

Dr. Morteza Yazdani
Department of Management, Universidad Loyola Andaluc�a, Seville, Spain
E-Mail: morteza_yazdani21@yahoo.com

Dr. Dilbagh Panchal
Department of Industrial and Production Engineering, Dr. B. R. Ambedkar National Institute of Technology (NIT) Jalandhar, Punjab, India
E-mail: panchald@nitj.ac.in

Published and Forthcoming Titles


 
Quantum Computing Models for Cybersecurity and Wireless Communications
Edited by Budati Anil Kumar, Singamaneni Kranthi Kumar and Li Xingwang
Copyright: 2025   |   Status: Published   |   Hardcover
 
The book explores the latest quantum computing research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, artificial intelligence-based devices, computer technology, and their solutions.


 
Optimization in Sustainable Energy
Methods and Applications
Edited Prasenjit Chatterjee, Anita Khosla, Ashwani Kumar and Gülay Demir
Copyright: 2025   |   Status: Contracted   |   Expected Pub Date:2025/04/30   |   Hardcover


 
Bibliometric Analyses in Data-Driven Decision-Making
Edited by Prasenjit Chatterjee, Abhijit Saha, Seifedine Kadry and Gülay Demir
Copyright: 2025   |   Status: Contracted   |   Expected Pub Date:2025/5/30   |   Hardcover


 
Sustainable Operations of Logistics and Supply Chain Management
Edited by K. Mathiyazhagan, Krishna Kumar Dadsena, Rajesh Kumar Singh, Aakanksha Kishore and Andrea Appolloni
Copyright: 2025   |   Status: Contracted   |   Expected Pub Date:2025/06/30   |   Hardcover


 
Intelligent Data Analytics for Bioinformatics and Biomedical Systems
Edited by Neha Sharma, Korhan Cengiz and Prasenjit Chatterjee
Copyright: 2024   |   Status: Published   |   Hardcover
 
The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth
in the fast-changing field of bioinformatics and biomedical systems.


 
Decision Support Systems for Smart City Applications
Edited by Loveleen Gaur, Vernika Agarwal and Prasenjit Chatterjee
Copyright: 2023   |   Status: Published   |   Hardcover
 
This book provides smart city frameworks to address new difficulties by adding new features and allowing the city environment to react to collected data and
information to increase the efficiency and sustainability of services for inhabitants.


 
Computational Intelligence in Sustainable Reliability Engineering
Edited by S. C. Malik, Deepak Sinwar, Ashish Kumar, S. R. Gadde, Prasenjit Chatterjee and Bui Thanh Hung
Copyright: 2023   |   Status: Published   |   Hardcover
 
The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering.


 
Handbook of Intelligent Computing and Optimization for Sustainable Development
Edited by Mukhdeep Singh Manshahia, Valeriy Kharchenko, Elias Munapo, J. Joshua Thomas and Pandian Vasant
Copyright: 2022   |   Status: Published   |   Hardcover
 
This book provides a comprehensive overview of the latest breakthroughs
and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries.


 
Fuzzy Computing in Data Science
Applications and Challenges

By Sachi Nandan Mohanty, Prasenjit Chatterjee and Bui Thanh Hung
Copyright: 2022   |   Status: Published   |   Hardcover
 
This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges.


 
Optimization Techniques in Engineering
Advances and Applications 

Edited by Anita Khosla, Prasenjit Chatterjee, Ikbal Ali and Dheeraj Joshi
Copyright: 2022   |   Status: Published   |   Hardcover
 
The book describes the basic components of an optimization problem along with the formulation of design problems as mathematical programming problems using an objective function that expresses the main aim of the model, and how it is to be either minimized or maximized; subsequently, the concept of optimization and its relevance towards an optimal solution in engineering applications, is explained.


 
Machine Learning Algorithms and Applications
Edited by Mettu Srinivas, G. Sucharitha and Anjanna Matta
Copyright: 2021   |   Status: Published   |   Hardcover
 
The book is written for experienced and starting machine learning specialists looking to implement solutions to real-world machine learning problems.


 
Smart and Sustainable Intelligent Systems
Edited by Namita Gupta, Prasenjit Chatterjee and Tanupriya Choudhury
Copyright: 2021   |   Status: Published   |   Expected Pub Date:2021/03/12   |   Hardcover
 
Provides a comprehensive description of the state-of-the-art research and development in the fields of smart intelligent computing systems and its applications in a range of applications by focusing on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries.