Dr. Sarmistha Singh is an Associate Professor in the Department of Civil Engineering and a core faculty member of the Environmental Sciences and Sustainable Engineering Centre (ESSENCE) at the Indian Institute of Technology Palakkad, India. She completed her Ph.D. in Biosystems Engineering from Auburn University, USA, and subsequently pursued a Postdoctoral Research Fellowship at Purdue University, where she worked on hydroclimatic modelling and water-resources applications. Her research focuses on hydroclimatology and satellite-based environmental monitoring, with an emphasis on integrating multisource earth observation datasets such as SAR, microwave radiometry, optical sensors, and reanalysis products to characterize hydroclimatic extremes. She develops modelling frameworks to assess drought onset and propagation, soil moisture variability, land-atmosphere feedbacks, and long-term climate risks across diverse landscapes. Her recent work integrates AI/ML with satellite observations such as SMAP, Sentinel, and NISAR-type SAR products to understand soil moisture dynamics and flash droughts. Dr. Singh has led and collaborated on interdisciplinary research projects supported by national agencies such as CSIR, DST, ISRO, SERB, and multiple state departments, addressing challenges in water resources, climate resilience, flood forecasting, and environmental monitoring. She has published in leading international journals including Water Resources Research, Climate Dynamics, International Journal of Climatology, Atmospheric Research, and Journal of Hydrology, and has presented her work at major scientific conferences such as American Geophysical Union (AGU), European Geosciences Union (EGU), and Asia Oceania Geosciences Society (AOGS). She also contributes extensively to academic and professional service as a reviewer for high impact journals and as a member of scientific societies including AGU, EGU, and the Indian Society of Agricultural Engineers. Her research interests continue to focus on integrating space-based observations with physics-guided modelling to enhance understanding, monitoring, and prediction of earth system processes.