Sustainable Smart Water Systems
A Comprehensive Approach
- 1st Edition - October 1, 2026
- Latest edition
- Editors: Kamil Reza Khondakar, Hirak Mazumdar, Ajeet Kumar Kaushik
- Language: English
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
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Description
Description
Key features
Key features
- AI- and IoT-enabled smart water monitoring for real-time quality assessment and predictive management.
- Advanced nano and membrane technologies for sustainable and energy-efficient water treatment.
- Smart solutions for urban and agricultural water systems using data-driven optimization.
- Integrated focus on risk, policy, and future sustainability challenges in water ecosystems.
Readership
Readership
Table of contents
Table of contents
2. Sustainability Risk Assessment and Management in Water Quality
3. Sources of Water Pollution and Its Impact on Ecosystems
4. Smart Sensors for Water Testing and Quality Assessment
5. Nano-separation Techniques for Sustainable Water Treatment
6. Sustainable Membrane Technology for Water Treatment
7. Design and Implementation of an IoT-based Water Quality Framework
8. Artificial intelligence and big data applications for drinking water quality monitoring
9. AI-supported approaches for sustainable water management in Urban areas.
10. Sustainable Agriculture through Smart Practices of Water using AI and IOT
11. Water Quality Regulations and Policies for Sustainable Management
12. Challenges and Future Directions in Sustainable Water Ecosystems
Product details
Product details
- Edition: 1
- Latest edition
- Published: October 1, 2026
- Language: English
About the editors
About the editors
KR
Kamil Reza Khondakar
HM
Hirak Mazumdar
Dr. Hirak Mazumdar is a distinguished Biomedical Researcher and Algorithm Developer specializing in Computer Vision, Image Processing, and advanced Machine Learning Algorithms. He earned his PhD from Sogang University, South Korea, in collaboration with Samsung Mechatronics R&D. During his PhD, he developed comprehensive algorithms for fault detection in semiconductor sensors, enhancing defect prediction and manufacturing yield. His significant contributions include sensor correlation analysis and machine learning applications to improve wafer fabrication processes.
Following his doctorate, Dr. Mazumdar was a Post-Doctoral Fellow at Cheongju National University, South Korea, where he worked on a Ministry of Semiconductor Design-funded project developing machine learning software for wafer testing. He then joined the University of Houston, Texas, as a Post-Doctoral Scientist on a Department of Energy project focused on groundwater contamination detection using machine learning.
Dr. Mazumdar’s research spans industrial big data analysis, intelligent medical sensor devices, sensor manufacturing systems, and quality assurance through complex machine learning algorithms. He has industry experience with Samsung and Hyundai, specializing in machine learning and data fault analysis. His interests also include nanotechnology, nano biosensor simulation, computational biology, and biomedical image analysis, particularly in analyzing cell cultures.
In his post-PhD work, Dr. Mazumdar has expanded into healthcare technology and sustainability, developing secure machine learning frameworks for early diagnosis, personalized health management, remote monitoring, and digital health platforms such as telemedicine and virtual clinics. His work aims to improve patient outcomes through predictive analytics and AI-driven disease prevention.
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.