© R. De/BGC
Ranit De, (রণিত দে | रणित दे)
Department Biogeochemical Integration (BGI)
Research Group Model-Data Integration
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)
Research Group Model-Data Integration
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)
Main Focus
Develop hybrid modelling approaches by combining physically based models (physically interpretable) and machine learning (data-adaptive) to simulate inter-annual variability in terrestrial ecosystem fluxes.
Curriculum Vitae
- 09/2021 - (ongoing): Ph.D Student, International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC) at MPI for Biogeochemistry, Jena, Germany.
- 09/2019 - 07/2021: M.Sc in Geo-information Science and Earth Observation (Water Resources and Environmental Management), Faculty ITC, University of Twente, Enschede, Netherlands.
- 07/2015 - 06/2019: B.Tech in Agricultural Engineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (Allahabad), India.
Past Research
- De, R. (2021). Crop Yield Estimation from Simulated Carbon Flux using SCOPE: A Case Study of Samrakalwana Village in India [Master's thesis, University of Twente]. https://doi.org/10.5281/zenodo.12951938