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

• (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

• (2023) Volunteer (Organizing Committee) for HydroML Symposium
• (2023) Student member: American Geophysical Union (AGU) Hydrology Section Student Subcommittee (H3S)
• (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

• Thinking Parallel: High Performance Computing (HPC) for Researchers
• My Experience with SMAPVEX 2022: Exploration, Exhaustion and Education!

List of select publications:

1. 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
2. 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.
   
3. 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.