Computational Modeling Applications for Climate Crisis

Edited by:   Utku Kose (Associate Professor Department of Computer Engineering Süleyman Demirel University Isparta Turkey), Deepak Gupta (Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India), Jose Antonio Marmolejo Saucedo (Professor Panamerican University, Mexico City, Mexico)
Imprint:   Morgan Kaufmann Publishers In
Country of Publication:   United States
Dimensions:   Height: 235mm,  Width: 191mm, 
Weight:   450g
ISBN:   9780443219054
ISBN 10:   0443219052
Series:   Computational Modeling Applications for Existential Risks
Pages:   282
Publication Date:   07 October 2024
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Forthcoming

Dr. Utku Kose is an Associate Professor at Süleyman Demirel University, Turkey. He received his PhD from Selcuk University, Turkey, in the field of computer engineering. He has more than 100 publications to his credit, including Deep Learning for Medical Decision Support Systems, Springer; Artificial Intelligence Applications in Distance Education, IGI Global; Smart Applications with Advanced Machine Learning and Human-Centered Problem Design, Springer; Artificial Intelligence for Data-Driven Medical Diagnosis, DeGruyter; Computational Intelligence in Software Modeling, DeGruyter; Data Science for Covid-19, Volumes 1 and 2, Elsevier/Academic Press; and Deep Learning for Medical Applications with Unique Data, Elsevier/Academic Press, among others. Dr. Kose is a Series Editor of the Biomedical and Robotics Healthcare series from Taylor & Francis/CRC Press. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science. Deepak Gupta is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, PhD and post-doctorate supervision etc. He is working as Assistant Professor at Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI and various other reputed journals (IEEE, Elsevier, Springer, Wiley & MDPI). He has actively been an organizing end of various reputed international conferences. He is not only backed with a strong profile but his innovative ideas, research’s end-results and notion of implementation of technology in the medical field is by and large contributing to the society significantly. He has authored/Edited 70 books, and published 330 scientific research publications in reputed International Journals and Conferences including 213 SCI Indexed Journals. He has also granted/published 8 patents. He has got a grant of Rs 1.31 CR from Department of Science and Technology against the Indo-Russian Joint call. Dr. Jose Antonio Marmolejo Saucedo is a Professor at Panamerican University, Mexico. His research is on large-scale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logistic systems, sustainable supply chain design, and digital twins in supply chains. He received his PhD in Operations Research (Hons) at National Autonomous University of Mexico. He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems, Mexican Society for Operations Research and System Dynamics Society. He is the author/editor of Computational Intelligence for Covid-19 and Future Pandemics, Springer; Modeling, Simulation, and Optimization, Springer; Data Analysis and Optimization for Engineering and Computing Problems, Springer; Artificial Intelligence for Renewable Energy and Climate Change, Wiley; Intelligent Computing and Optimization, Springer; and Innovative Computing Trends and Applications, Springer; among others.