Sustainable Smart Water Systems

Dr. Kamil Reza Khondakar is a distinguished researcher with over a decade of experience in interdisciplinary science, combining physics, biomedical engineering, materials science, and artificial intelligence. He completed four years of doctoral training at the University of Queensland, Australia after receiving IPRSS fellowship from Government of Australia. He worked as research fellow for four years at the National Physical Laboratory, India, supported by a prestigious Government of India grant. His research focuses on lab-on-chip technology, microfluidics, biosensors, and point-of-care diagnostics, contributing to over 50 peer-reviewed publications in high-impact journals such as Accounts of Chemical Research, ACS Nano, Advances in Colloid and Interface Science, BMEMat and Biosensors and Bioelectronics, Small, etc. His work has received more than 1,325 citations, with an h-index of 22. Dr. Kamil has delivered invited lectures in the USA and Australia on lab-on-a-chip technology for cancer detection. He has edited three Elsevier books and serves as an editor for journals: Frontiers in Nanotechnology and Biosensors. As a peer reviewer for top journals and a mentor to young researchers, he plays a vital role in advancing scientific innovation and publishing worldwide. 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.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.

• 1. Introduction to Sustainable Smart Water Systems2. Sustainability Risk Assessment and Management in Water Quality3. Sources of Water Pollution and Its Impact on Ecosystems4. Smart Sensors for Water Testing and Quality Assessment5. Nano-separation Techniques for Sustainable Water Treatment6. Sustainable Membrane Technology for Water Treatment7. IoT-based Monitoring and Control for Sustainable Water Quality8. Artificial intelligence and big data applications for drinking water quality monitoring9. AI-supported approaches for sustainable water management in Urban areas.10. Sustainable Agriculture through Smart Practices of Water using AI and IOT11. Water Quality Regulations and Policies for Sustainable Management12. Challenges and Future Directions in Sustainable Water Ecosystems