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
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 an Associate Professor of Chemistry at the Department of Chemistry, at Florida Polytechnic University, Florida, United States, as well as an ICS Fellow and Fulbright Specialist. Currently he is exploring nano-enabled technologies for health and environmental monitoring. He has authored or co-authored over 350 publications, published 14 edited books, and has 4 patents, as well as various other editorial roles and international collaborations. Dr. Kaushik’s research interests include green chemistry, catalysis, drug delivery systems, electrochemistry, sensors, and point-of-care sensing for sustainable health and the environment.