Manish Kumar is a Distinguished Professor at the Tecnológico de Monterrey, Mexico & Institute Professor at Chuo University Japan, and at UPES, India. Previously, he was director of the Sustainability Cluster in the School of Advanced Engineering at UPES, Dehradun, India; and faculty member at IIT Gandhinagar; and Tezpur University in India. With a Ph.D. in Environmental Engineering from the University of Tokyo, Japan, and a Fellow of the Royal Society of Chemistry, he has authored 300+ articles, 50+ book chapters, and 20+ books, ranking among the top 2% scientists globally. His research spans wastewater epidemiology, climate change, and sustainable water management. He led multi-institutional projects funded by UNICEF on wastewater epidemiology; the Asia-Pacific Network (APN) on Global Change Research on climate change effect on water availability in India and Sri Lanka, and the UK-India Education and Research Initiative (UKIERI) project on Water Sustainability, among others. He render(s)ed editorial services to journals like ES&T Letters, ES&T-Engineering, Nature Partner Journals (NPJ) Clean Water, Science of the Total Environment, Current Pollution Report (Springer), Groundwater for Sustainable Development, Reviews of Environmental Contamination and Toxicology, Hydrological Research Letter, and others. Durga Prasad Panday is an Associate Professor at the Sustainability Cluster, UPES Dehradun. He has more than 9 years of teaching experience where he has taught various B Tech and M Tech students. He has published high-impact research articles (Q1), including journal papers, book chapters, and conference proceedings in the area of water quantity and quality. His extensive work acts as a bridge in water quality-quantity studies. His key areas of interest are Water resources modeling; Hydroclimatic extremes; Game-theoretic and conflict resolution techniques; and Watershed management. He is well-versed in statistical modeling and the programming tools Python, R, and MATLAB. He has expertise in geo-spatial software like ArcGIS, and Q-GIS.