Understanding Atmospheric Rivers Using Machine Learning

Prof. Manish Kumar Goyal is a Chair professor- BIS Standardization and Dean, Infrastructure Development  at Indian Institute of Technology Indore. His research interests include water resources engineering, GIS, and remote sensing applications in water and environment and climate change. He received a B.Tech. degree in Civil Engineering from the National Institute of Technology Warangal with distinction and an M.Tech. degree from the Indian Institute of Technology Roorkee. After a brief stint in corporate, he pursued a Ph.D. degree at IIT Roorkee in collaboration with the University of Waterloo, Canada. He went on to pursue further research as a postdoctoral fellow at Nanyang Technological University, Singapore, and McGill University, Canada. He holds more than 100 publications in different domains of GIS and Remote Sensing, Water Resources, Climate Change, Hydrological and Hydrodynamic Modeling, Snow and Glacier Melt, Soil Carbon Sequestration, Anthropogenic Changes, Risk, and Resilience.His name has appeared in Top 2% scientist , list prepared by Stanford University in 2020, 2021, 2022 and 2023. 

Understanding Atmospheric Rivers and Exploring Their Role as Climate Extremes.- Characterization and Impacts of Atmospheric Riversharacterization and Impacts of Atmospheric Rivers.- Key Characteristics of Atmospheric Rivers and Associated Precipitation.- Major Large-Scale Climate Oscillations and their Interactions with Atmospheric Rivers.- Role of Machine Learning in Understanding and Managing Atmospheric Rivers.