Machine Learning and Urban Health

Dr. Deepak Kumar is a Research Scientist in the Atmospheric Sciences Group at Texas Tech University. He previously served as a Research Scientist at the Atmospheric Sciences Research Center, State University of New York at Albany, and as an Assistant Professor at Amity University, Delhi-NCR. His research focuses on geospatial sciences, computational sciences, climate change, sustainability, and the urban–climate–energy nexus. His work integrates remote sensing, geoinformatics, environmental studies, energy systems, urban weather, and climate modelling to support interdisciplinary research and policy applications. Dr. Kumar has experience in research design, data analysis, modelling, visualization, and implementation across environmental and climate-related projects. He also contributes to academic and professional activities through conference participation, outreach, training, and scholarly associations. Dr. Rajeev Ranjan is an Associate Professor, Department of Electronics and Communication Engineering at Chandigarh University in Punjab, India Dr. Ranjan received his B.Tech. degree in Electronics and Telecommunication Engineering from Biju Patnaik University of Technology, Odisha, India, an M.Tech. degree in Electronics and Communication Engineering from Jaypee Institute of Information Technology, Noida, India and a Ph.D. in Electronics and Communication Engineering from Thapar University, Punjab. He’s an active researcher in the field of Biomedical signal processing and image processing using machine learning. He has published over 25+ research papers in Web of Science/Scopus-indexed International Journals and Conferences by Elsevier, Springer, Taylor & Francis and IEEE. His current research interests include Biomedical signal processing, Image processing, Natural Language processing and Radar signal processing. He has organized and attended many Workshops, Seminars, FDP and National and International Conferences in India and given the expert talk in the various institutes of India.Juli Kumari is an academic research professional currently, pursuing a PhD in the Department of Computer Science and Engineering at Indira Gandhi Delhi Technical University for Women, New Delhi. She received her B.Tech. Degree in Information Technology from Biju Patnaik University of Technology, Odisha, an M.Sc. in Bioinformatics from Central University of South Bihar, Gaya, Bihar, and M.Tech. in Computer Science and Engineering from Indira Gandhi Delhi Technical University for Women, Kashmiri Gate, New Delhi. She’s an active researcher in the interdisciplinary fields of Artificial Intelligence, Machine Learning, and Health Informatics. She received a Project Grant for one year as a Women Scientist/PI in Bioinformatics from the Department of Science and Technology, Government of India. She has actively participated in expert talks and IEEE Women in Engineering Meet-and-Greet programs at various institutes across India. Her research interests span bioinformatics, health informatics, data mining, artificial intelligence, machine learning, and deep learning. Dr. Mahesh Kumar Singh is an Associate Professor in Department of ECE, Aditya University, India. Dr. Singh received his B.Tech. degree in Electronics and Communication Engineering from KNGD Modi Engineering College, Uttar Pradesh Technical University and an M.Tech. degree in Electronics and Communication Engineering from the Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology. He completed his PhD in Speech Signal Processing from Department of Electronics and Communication Engineering, Jaypee University of Engineering and Technology. He has been a reviewer for various research articles in diverse peer-reviewed journals and his involvement in the academic community is underscored by his participation in organizing and attending numerous workshops, seminars, Faculty Development Programs, as well as national and international conferences. He has Worked as Research Advisor, CL Educate Ltd. and worked as Assistant Professor in the Department of Electronics and Communication Engineering, Babu Banarsi Das Institute of Technology Delhi-NCR.

• 1. Introduction to Urban Health Challenges2. Smart Cities: The Vision for Sustainable Urban Wellness3. The Power of Data Analytics in Urban Health4. Machine Learning: Revolutionizing Urban Health Insights5. Case Studies: Real-World Applications in Urban Health Data Analysis6. Sustainability and Health Equity in Urban Communities7. Challenges and Ethical Considerations8. Future Directions in Urban Health Data Analytics9. Conclusion: Building Healthier, Smarter Cities Together