Professor Laurent Gentzbittel
Raghu received his PhD degree in Biological and Agricultural Engineering (focus: Soil Hydrology) from Texas A&M University in College Station, Texas, USA in 2010. His current research interests relate to the improvement of agricultural resource utilization by leveraging traditional modeling of environmental processes, remote sensing, data analysis, and integration of AI/ML.
Raghu joined Skoltech in 2018 as part of the Centre for Computational and Data-Intensive Science and Engineering, and moved to the Digital Agriculture Lab/Center for AgroTechnologies in 2021. Before coming to Russia, Raghu has worked at the Indian Institute of Science (India), King Abdullah University of Science and Technology (Saudi Arabia), University of Stuttgart (Germany), and Texas A&M University (USA). Raghu has authored/co-authored 20 peer-reviewed publications/ book chapters and has presented his research at over 40 international conferences/seminars. He has been a mentor to multiple graduate students, and co-supervisor of one Masters student.
The primary focus of Raghu’s current research is on observation and modeling of environmental processes, and their application in enhancing agricultural productivity. He is utilizing data science and artificial intelligence techniques to help improve the efficiency of water and nutrient use in agriculture, especially in the context of climate change. This involves various inter-disciplinary components such as soil water balance modeling; numerical, statistical, and physical modeling of environmental processes; remote sensing; and application of AI/ML for agro-hydrological modeling and prediction, among others. With agriculture being the major consumer, and significant source of contamination, of freshwater resources, his research outcomes are expected to help move this sector towards more sustainable practices while not sacrificing but, instead, improving the crop yield.
Envirotyping and Enviromics
Numerical, statistical, and physical modeling of environmental processes
Hydrology and soil physics
Remote sensing
Application of AI/ML for agro/hydrological processes
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Ph. D., Biological and Agricultural Engineering, 2010
Texas A&M University, College Station, TX
Focus: Soil Hydrology
Title: Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions
Advisor: Dr. Binayak P. Mohanty
M. Eng., Civil Engineering, 2004
Texas A&M University, College Station, TX
Focus: Pavement Materials
Thesis Title: Surface Energy Characteristics of Bitumen Additives
Advisor: Dr. Dallas N. Little
B. Eng., Civil Engineering, 2001
M. S. Ramaiah Institute of Technology, Bangalore University, India
Robert E. Stewart Graduate Excellence Award [2009] Biological and Agricultural Engineering Department, Texas A&M University
Bill A., and Rita L. Stout International Graduate Student Achievement Award [2007] Biological and Agricultural Engineering Department, Texas A&M University
NASA Earth Systems Science Graduate Fellowship [2006 – 2009] National Aeronautics and Space Administration, Washington, DC
Joseph A. Orr Graduate Fellowship [2002] Civil Engineering Department, Texas A&M University