Water Informatics: Challenges and Solutions Using State of Art Technologies (Water Informatics for Water Resource Management)

This book provides a clear view of various applications for water resource management using different state-of-the-art technologies such as artificial intelligence, IoT, and cellular automata. The book also shows the analytical part of surface water as well as groundwater bodies to control pollution and save ecology. It gives an idea about the collection of data for disaster management such as flood prediction and flood inoculation. The book provides the fundamental aspects of various computational or simulation methods for surface and underground water body detection, prediction of non-biodegradable elements in water bodies, water potability, and predictions of natural disasters like floods. The book summarizes different aspects of water body challenges and the possible solutions proposed using new technologies. The book opens up a future research direction of dealing with various challenges and solutions based on emerging technologies. This book comes up with a direction for the researchers interested in dealing with various aspects of water challenges and finding solutions using emerging technologies in the new era of modern computations. 

Dr. Supreeti Kamilya has been working as an Assistant Professor in the Department of Computer Science and Engineering since December 2021. She received her master’s degree in computer science and Engineering from IIEST, Shibpur with 1st rank in 2015. She completed her Ph.D. from IIEST Shibpur in 2021. She works on various research topics such as Theoretical Computer Science (Cellular Automata), Chaos Theory, Machine Learning, and Deep Learning. She has several journal and conference publications with International repute. She was awarded the Visvesvaraya Fellowship during her Ph.D. She was a Visiting Fellow at the University of Turku, Finland. She was awarded best paper award different international conferences. She has acted as a Reviewer of different reputed journals.

Dr. Arindam Biswas received M.Tech. degree in Radio Physics and Electronics from the University of Calcutta, India, in 2010, and a Ph.D. from NIT Durgapur in 2013. He has worked as a Post-doctoral Researcher atPusan National University, South Korea, with a prestigious BK21PLUS Fellowship, Republic of Korea. He has received a DST-JSPS Invitation fellow at RIE, Japan, a DST-ASEAN Invitation Fellow at Duy Tan University, Vietnam, and Taylors University, Malaysia, Visiting Fellow to the Department of Electrical and Computer Engineering, National University Singapore. He has worked as a Specially Appointed Associate Professor (Visiting) at the Research Institute of Electronics, Shizuoka University, Japan. Presently, he is working as an Associate Professor in the School of Mines and Metallurgy at Kazi Nazrul University, WB, India where he has been actively engaged in teaching, research, and administration. He has 53 technical papers in different journals and 55 conference proceedings 8 authored books, 18 edited volumes, and 10 book chapters with international repute.

Sheng-Lung Peng is a Professor at the Department of Creative Technologies and Product Design, and the Dean of the Collegeof Innovative Design and Management at National Taipei University of Business in Taiwan. He received a PhD degree from the Computer Science Department of National Tsing Hua University in Taiwan. He is an honorary Professor at Beijing Information Science and Technology University and a visiting Professor at Ningxia Institute of Science and Technology in China. He is also an adjunct Professor at National Dong Hwa University in Taiwan and, Mandsaur University and Kazi Nazrul University in India. Dr. Peng has edited several special issues in journals, such as Frontiers in Public Health, Journal of Internet Technology, IEEE Internet of Things Magazine, Computers and Electrical Engineering, Sensors, and so on. His research interests are algorithm design in the fields of artificial intelligence, bioinformatics, combinatorics, data mining, and networking.