Understanding Atmospheric Rivers Using Machine Learning

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SpringerBriefs in Applied Sciences and Technology

ISBN: 3031634772
ISBN 13: 9783031634772
Autor: Goyal, Manish Kumar/Singh, Shivam
Verlag: Springer Verlag GmbH
Umfang: viii, 74 S., 1 s/w Illustr., 29 farbige Illustr., 74 p. 30 illus., 29 illus. in color.
Erscheinungsdatum: 23.06.2024
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 3635189 Kategorie:

Beschreibung

Autorenporträt

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. 

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