
Sustainable Smart Water Systems
A Comprehensive Approach
- 1st Edition - April 1, 2026
- Editors: Kamil Reza Khondakar, Hirak Mazumdar, Ajeet Kumar Kaushik
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 6 4 7 0 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 6 4 7 1 - 6
Sustainable Smart Water System: A Comprehensive Approach is an essential guide for students and researchers dedicated to sustainable water management. This book thoroughly examin… Read more
Purchase options

- Includes case studies with innovative methods and step-by-step instructions
- Covers current technologies (Artificial Intelligence, Internet of Things, Big Data) for the development of sustainable water management
- Offers solutions for water resource monitoring, efficiency, and quality management
• Definition and importance of sustainable smart water systems
• Overview of book structure and target audience
2. Sustainability Risk Assessment and Management in Water Quality
• Methods for identifying and assessing risks in water systems
• Strategies for managing risks to maintain sustainable water quality
3. Sources of Water Pollution and Its Impact on Ecosystems
• Detailed analysis of biological, chemical, and physical sources of pollution
• Case studies on pollution impact on aquatic life and ecosystem health
4. Smart Sensors for Water Testing and Quality Assessment
• Technologies and innovations in sensor design
• Application examples in real-world water quality monitoring
5. Nano-separation Techniques for Sustainable Water Treatment
• Explanation of nano-separation methods and materials
• Efficiency comparisons and environmental impacts
6. Sustainable Membrane Technology for Water Treatment
• Advances in membrane technology designs
• Implementation challenges and operational efficiency
7. IoT-based Monitoring and Control for Sustainable Water Quality
• Integration of IoT with water management systems
• Benefits and limitations of IoT solutions in real-time monitoring
8. Artificial intelligence and big data applications for drinking water quality monitoring
• Specific AI models and data analytics used for drinking water quality monitoring
• Impact of AI on predictive maintenance and ecological balance
9. AI-supported approaches for sustainable water management in Urban areas.
• Detailed exploration of AI techniques for water management in urban areas
• Success stories and lessons learned from current implementations
10. Sustainable Agriculture through Smart Practices of Water using AI and IOT
• Innovative farming techniques that utilize smart practices of water systems
• Impact analysis of these systems on agricultural productivity and sustainability
11. Water Quality Regulations and Policies for Sustainable Management
• Overview of global and regional regulatory frameworks
• Analysis of the effectiveness of policies on water sustainability
12. Challenges and Future Directions in Sustainable Water Ecosystems
• Identification of ongoing challenges in water sustainability
• Discussion on emerging technologies and their potential impact
- Edition: 1
- Published: April 1, 2026
- Language: English
KR
Kamil Reza Khondakar
Dr. Kamil Reza Khondakar is a senior assistant Professor at Woxsen University, Hyderabad, India. He earned his Ph.D. from the Australian Institute for Bioengineering and Nanotechnology at The University of Queensland, Australia, where his research centered on developing microfluidic assays for detecting cancer biomarkers. He has edited 3 books and authored over 50 international research publications in the fields of lab-on-a-chip technology, electrochemical sensors, optical sensors, and machine learning assisted sensors for the advancement of personalized healthcare systems. He is also serving editorial roles for journal Frontiers in nanotechnology and Sensors (MDPI). He was awarded the Startup Research Grant (SRG-2023) by the Science & Engineering Research Board (SERB), Government of India, to develop microfluidic chip-based sensors for detecting water contamination. He also received International Postgraduate Research Scholarship (IPRS) from Government of Australia, and University of Queensland Centennial Scholarship (UQCent) from The University of Queensland, Australia. He was invited speaker at international conferences in USA, Australia and India. He has been affiliate member of the Royal Society of Chemistry since 2024 (invited).
HM
Hirak Mazumdar
Hirak is an accomplished Algorithm Developer and Researcher specializing in Computer Vision, Image Processing, and Machine Learning Algorithms. Currently serving as an Assistant Professor at Woxsen University in Hyderabad, his current research interest includes developing industrial big data analysis, intelligent medical devices, intelligent manufacturing systems, and intelligent quality assurance. Over the last couple of years, Hirak has worked with big data and implemented many algorithms based on Wafer defects during the fabrication process and related many optimization techniques. In addition, he has work experience with two top-tier companies where he works with machine learning and data fault analysis. He has published 13 papers in peer-reviewed journals and filled 2 Patents with more than 10 conference presentations.
AK
Ajeet Kumar Kaushik
Dr. Ajeet Kaushik is Associate Professor at the NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, USA. He is the recipient of various reputed awards for his service in the area of nano-biotechnology for health care. He has edited seven books, written more than 100 international research peer reviewed publications, and has three patents in the area of nanomedicine and smart biosensors for personalized health care. In the course of his research, Dr. Kaushik has been engaged in the design and development of various electro-active nanostructures for electrochemical biosensor and nanomedicine for health care. His research interests include nanobiotechnology, analytical systems, design and develop nanostructures, nano-carries for drug delivery, nano-therapeutics for CNS diseases, on-demand site-specific release of therapeutic agents, exploring personalized nanomedicines, biosensors, point-of-care sensing devices, and related areas of health care monitoring.