Educational background Ph. D. (Pursuing) Biological and Agricultural Engineering M.Tech., Agricultural Systems and Management Indian Institute of Technology Kharagpur, India (2021) B.Tech., Agricultural Engineering Odisha University of Agriculture and Technology, India (2019) CV/Resume

Research Interests

Hydroclimatology, Soil Science, Microwave Remote Sensing, Multi-scale data fusion, Bayesian Statistics, Machine Learning.

Current project

SMAP Science using Data Fusion: Forecasting Flash Drought to Flash Flood 
Funding Agency: NASA

Awards, scholarships, & fellowships

• (2026) Best Presentation Award by AGU’s Remote Sensing Technical Committee
• (2025) BAEN GSA travel award for AGU fall meeting
• (2025) SSSA Kirkham Travel Award
• (2025) Earth Science Information Partners (ESIP) Community Fellow
• (2024) Data Science Ambassador Scholarship, Texas A&M Institute of Data Science
• (2024) BAEN GSA travel award for AGU fall meeting
• (2024) Bill & Rita Stout International Graduate Student Award
• (2023) Earth Science Information Partners (ESIP) Community Fellow
• (2023) BAEN GSA travel award for AGU fall meeting
• (2023) Data Science Ambassador Scholarship, Texas A&M Institute of Data Science
• (2023) Climate Change AI Summer School Travel Award
• (2022) BAEN GSA travel award for AGU fall meeting
• (2022) 3 MT Best Presentation: People’s Choice Award
• (2022) Graduate Student Competitive Scholarship: BAEN, TAMU
• (2022) BAEN GSA travel award for EGU spring meeting
• (2021) Graduate Student Competitive Scholarship: BAEN, TAMU
• (2021) BAEN GSA travel award for AGU fall meeting

Service and Community Engagement

• (2025) AGU Remote Sensing Technical Committee – Student Member
• (2025) AGU Geospatial Workshop – Instructor
• (2025) Scientific Machine Learning Summer School – Organizer
• (2024) AGU Geospatial Workshop – Instructor
• (2024) TAMIDS’ WATER Summer School – Organizer
• (2023) Volunteer for AGU Fall Meeting
• (2023) Community Fellow: Soil Ontology and Informatics Cluster
• (2023) Volunteer (Organizing Committee) for HydroML Symposium
• (2023) Student member: American Geophysical Union (AGU) Hydrology Section Student Subcommittee (H3S)
• (2022-23) Travel Award Chair: BAEN Graduate Student Association
• (2022) NASA SMAPVEX 2022 Volunteer
• (2022) IEEE Soil Moisture School Participant
• (2021-22) Senator for BAEN at Graduate & Professional Student Government (GPSG)
• (2021-22) Vice-President: BAEN Graduate Student Association

Blogs

• Effective Git Workflows in RStudio: What I Learned Teaching at AGU
• Supporting Data Science and Beyond: Reflections from my 2-year period as a Data Science Ambassador at TAMIDS
• Grey Nearing, Google and Flood Forecasting – A Candid Conversation
• Thinking Parallel: High Performance Computing (HPC) for Researchers
• My Experience with SMAPVEX 2022: Exploration, Exhaustion and Education!

List of select publications:

1. Richter, J. H., Joseph, E., Arcodia, M. C., Berner, J., Demuth, J. L., Falloon, P., … & Zarzychki, C. (2026). Earth System Predictability Across Time Scales for a Resilient Society: A Research Community Perspective. Bulletin of the American Meteorological Society, BAMS-D.
2. Mishra, D., Sehgal, V., & Mohanty, B. P. (2025). An optimal transport framework for water-energy coupling in soil-vegetation-atmosphere continuum. Water Resources Research, 61 (12), e2025WR041794.
3. Binayak P. Mohanty, Mishra, Debasish, and Vinit Sehgal, Soil Moisture Remote Sensing: Satellite Retrieval, Geophysical Controls, and Applications, Reference Module in Earth Systems and Environmental Sciences, Elsevier, 2024, ISBN 978012409489, https://doi.org/10.1016/B978-0-323-96026-7.00033-3.
4. Mishra, Debasish, Vinit Sehgal, and Binayak P. Mohanty. “Thermodynamic Bounds of Terrestrial Water-Energy Coupling and Resiliency in Global Ecosystems.” Authorea Preprints (2023) (DOI: 10.22541/au.170000976.64787854/v2)
5. Ganguli P., Singh B., Reddy N. N., Aparna Raut, Debasish Mishra, and Bhabani Sankar Das. “Climate-Catchment-Soil Control on Hydrological Droughts in Peninsular India.” Sci Rep 12, 8014 (2022). https://doi.org/10.31223/X5QK96
6. Mishra, Debasish, et al. “Living with arsenic in the environment: An examination of current awareness of farmers in the Bengal basin using hybrid feature selection and machine learning.” Environment International 153 (2021): 106529.
7. Mishra, Debasish, Bhabani S. Das, and Manoj Menon. “Hybrid feature selection and machine learning approaches for assessing the arsenic awareness of local farming communities in Bengal Basin.” EGU General Assembly Conference Abstracts. 2021.