Intelligent Systems and Sustainable Solutions for AIOT-Powered Environmental Monitoring (Paperback)

The integration of artificial intelligence (AI) and the Internet of Things (IoT), collectively known as AIoT, revolutionizes environmental monitoring by enabling intelligent, data-driven, and sustainable solutions. AIoT-powered systems combine real-time data collection from sensors with advanced analytics and machine learning algorithms to monitor, predict, and manage environmental changes. These intelligent systems detect pollution levels, track climate patterns, optimize resource usage, and support early warning systems for natural disasters, promoting environmental sustainability. By harnessing the connection between AI and IoT, researchers and policymakers may develop smarter, more adaptive frameworks that enhance environmental protection while contributing to global sustainability goals. Intelligent Systems and Sustainable Solutions for AIOT-Powered Environmental Monitoring provides a comprehensive overview of the integration of AI and IoT in environmental monitoring and sustainability. It explores how intelligent, connected systems transform monitoring, analysis, and response to environmental changes. This book covers topics such as data science, smart technology, and sustainable development, and is a useful resource for engineers, academicians, researchers, and scientists.

Momina Shaheen is an academic and researcher in computer science with over 8 years of experience in teaching and research. She currently serves as a Lecturer in Computing and Programme Leader at the University of Roehampton London. Her work focuses on edge computing, the Internet of Things, federated learning, and cybersecurity, with applications across smart cities, healthcare, finance, and education. Shaheen holds a B.Sc. in Information Technology, an M.Eng. in Software Engineering, and defended her Ph.D. in Computer Science, focusing on improving deep learning performance in federated machine learning. Her academic contributions include over 46 peer-reviewed publications in Q1 journals, multiple book chapters, and editorial work, earning her an h-index of 9 and over 400 citations. She has taught a wide range of undergraduate and postgraduate modules, including algorithms, software development, artificial intelligence, and data visualization. In addition to her teaching, she leads international collaborations and actively contributes to curriculum design, grant writing, and supervision of research projects. She also served as a reviewer for prominent journals such as Nature (under Early Career Reviewer Program), MDPI Electronics, IEEE Access, IET Information Security, Springer Scientific Reports, PLOS ONE, and ACM Transactions, and has chaired international conferences. Shaheen is committed to fostering innovation in computing education, and intelligent systems.

Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electrical & Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. and has done his M.Tech. with specialization in Power Control (Instrumentation) and also done his MBA from Finance and Marketing. His subjects of interest are related to Artificial Intelligence, Biomedical & Healthcare, Image Processing, Machine Learning and Renewable energy. He has 15 years of teaching and research experience has published more than 30 research papers in National and International journals /conferences & Book Chapters in CRC, NOVA, Taylor & Francis, Springer and IGI Publisher. Dr. Pandey is an editor of books (edited) published by reputed publishers Apple Academy Press, IGI, Elsevier, Wiley-IEEE, NOVA, Bentham Science, IAP, Emerald Publication, Taylor & Francis & Cambridge Scholar .Dr. Pandey is also Editor of Journal of Technology Innovations and Energy United States. Dr. Pandey having reviewer in different conference/Journal/Book Chapters like (The Journal of Supercomputing in Springer Nature, IGI publishing, Journal of Security and Communication Networks Hindawi, Journal of Biomimetics, Biomaterials and Biomedical Engineering (JBBBE) Scientific Net, Switzerland, Advanced Engineering Forum (AEF) Scientific Net, Switzerland)

Tien Anh Tran , before joining the University of Malta, Department of Electrical Engineering, Faculty of Engineering, had a career in the Department of Marine Engineering, Vietnam Maritime University, Haiphong city, Vietnam as an Assistant Professor in Marine Technology. Dr Tran had conducted and completed his Postdoc research fellow at Department of Naval Architecture and Ocean Engineering, College of Engineering, Seoul National University (SNU), Seoul city, South Korea into Ocean & Shore Technology (OST) team. He read for his undergraduate degree at Vietnam Maritime University, Vietnam as well as M.Sc. degree. He had gotten his Ph.D. degree at Wuhan University of Technology, Wuhan city, P.R. China. Research is, of course, a large part of Dr Tran' work but he also has time for a regular teaching load and is supervisor to several Intership, Master's, Ph.D's and post doctoral students.