Computational Automation for Water Security: Enhancing Water Quality Management (Advanced Topics in Biomaterials) - Softcover

Softcover

ISBN 10: 0443333211 ISBN 13: 9780443333217

Publisher: Elsevier, 2025

Synopsis

Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.

• Offers a holistic understanding of the application of computational automation in water quality management
• Contains practical and unique updates to help learners how to apply computational techniques to address water quality challenges
• Provides a comprehensive and multidisciplinary perspective on water quality management

About this title

About the Authors

Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science and Engineering at Chitkara University, Himachal Pradesh, India. He is also a Postdoctoral Fellow of the Ingenium Research Group Lab, Universidad
de Castilla-La Mancha, Ciudad Real, Spain.

Dr. Arun Lal Srivastav is working as Professor and Associate Dean (Research), Tulas University, Dehradun, Uttarakhand, India. He received PhD from the Indian Institute of Technology (BHU), Varanasi. He has also done post-doctoral research at National Chung Hsing University, Taiwan. He is currently involved in the teaching of Environmental Science and Engineering, Disaster Management to the undergraduate engineering students. His research interests include water quality surveillance, climate change, water treatment, river ecosystem, soil health maintenance, engineering education, phytoremediation and waste management. Under his supervision, 3 PhD degrees have been awarded. He has published >150 research papers in various prestigious journals (Elsevier, Springer, IWA, Taylor & Francis etc.) including books, book chapters and conference publications. He has edited many books with Elsevier, Springer, NOVA, IGI global and Wiley. He worked on 04 Government sponsored projects (worth ~16 million INR) on phytoremediation, adsorption, capacity building, organic farming, leachate treatment, agro-waste management etc. He received the prestigious "Teachers Associateship for Research Excellence (TARE) Fellowship" followed by a research grant from the Science and Engineering Research Board (SERB), Govt. of India in 2022. He has also filed 31 patents on multidisciplinary topics and 14 out of which have been granted by the Government of India. He has also been recognized among the top 2% worldwide scientists of Earth and Environmental Sciences jointly by Stanford University and Elsevier in the year 2023, 2024 and 2025. Recently, his name has been included in top 0.05% scholars of the year 2025 by ScholarGPS in Environmental Sciences.

Abhishek Kumar is Assistant Director and Professor in the Department of Computer Science and Engineering at Chandigarh University, Punjab, India. He holds a Ph.D. in Computer Science from the University of Madras and is currently a Post-Doctoral Fellow with the Ingenium Research Group, Universidad de Castilla-La Mancha, Ciudad Real, Spain. He received his M.Tech in Computer Science and Engineering and B.Tech in Information Technology from Rajasthan Technical University, Kota, India. He has over thirteen years of academic teaching experience. His research interests include artificial intelligence, computer vision, image processing, data mining, machine learning, and renewable energy systems. He has authored and edited several books with leading international publishers and serves as a reviewer for reputed journals.

Fausto Pedro García Márquez works as a Professor and as Director of the Ingenium Research Group at the Universidad De Castilla-La Mancha, Spain. He is an Honorary Senior Research Fellow at Birmingham University, UK, and a Lecturer at the Postgraduate European Institute. He has published numerous papers and books with international publishers of repute, and has been involved as a principal investigator in numerous international projects. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, and Data Science.

Dr. Dimitrios A. Giannakoudakis obtained his PhD at the City University of New York, New York City, United States (February 2017). Nowadays, he serves as an assistant professor at the University Marie Curie Sklodowska (UMCS), Lublin, Poland. His research is focused on the development of composite porous nanomaterials for (photo)(sono)(piezo)catalytic technologies for biomass valorization and (micro)plastics upcycling to green chemicals, as well as for air and water purification, linking physicochemical properties to performance and involved mechanisms. He coauthored more than 140 articles, 1 monograph, 7 edited books, and 17 book chapters with over 7000 citations. Since 2021, he has been included in the Top 2% Most Influential Scientists worldwide (Stanford list, Elsevier).

From the Back Cover

Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimize water treatment processes, and ultimately improve environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making, allowing for more informed choices in water quality monitoring, pollution control, and resource allocation. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.

Edition details

• Publisher: Elsevier
• Publication date: 2025
• Language: English
• ISBN 10: 0443333211
• ISBN 13: 9780443333217
• Binding: Paperback
• Edition number: 1
• Number of pages: 498
• Editor: Dubey Ashutosh Kumar, Srivastav Arun Lal, Kumar PhD Abhishek, Garcia Marquez Fausto Pedro, A Giannakoudakis Dimitrios