Computational Automation for Water Security: Enhancing Water Quality Management - Softcover

Über die Autorinnen und Autoren

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.

Arun Lal Srivastav is working as Professor and Associate Dean (Research), Tulas University, Dehradun, Uttarakhand, India. He has done post-doctoral research at National Chung Hsing University, Taiwan. His research interests include water quality surveillance, climate change, water treatment, river ecosystem, soil health maintenance, engineering education, phytoremediation and waste management. 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.

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.

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).

Von der hinteren Coverseite

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.