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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 currently working as an Associate Professor 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, Bright Researcher Award, Outstanding Researcher Award and University Gold Medal. He has been the Guest Editor of several special issues in different Scopus and Emerging Sources Citation Index (Clarivate Analytics) indexed journals. He has edited and authored several books on decision-making approaches and sustainability. He is the Lead Series Editor of International Perspectives on Decision Analysis and Operations Research, Emerald Group Publishing; AAP Research Notes on Optimization and Decision Making Theories; and Frontiers of Mechanical and Industrial Engineering, Apple Academic Press, a partner of CRC Press, Taylor and Francis Group. Dr. Chatterjee is one of the developers of a new Multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS).

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: Contracted   |   Expected Pub Date:2024/12/30   |   Hardcover


 
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


 
Intelligent Data Analytics for Bioinformatics and Biomedical Systems
Edited by Neha Sharma, Korhan Cengiz and Prasenjit Chatterjee
Copyright: 2024   |   Status: Contracted   |   Expected Pub Date:10/30/2024   |   Hardcover


 
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.