PhD candidate, Earth & Atmospheric Sciences, NIT Rourkela (defence expected December 2026).
Focus: machine learning for weather, climate, and wildfire; atmosphere–biosphere fluxes; remote sensing; graph neural networks and transformers; quantum machine learning.
| Repository | Description |
|---|---|
| climate-kernel-emulator | Interpretable nonlocal-kernel climate emulator following the ClimateBench protocol |
| wildfire-flux-explorer | Interactive explorer for wildfire–flux relationships (live demo) |
| acid-fts | Causal-informed fuzzy time series for fire-weather forecasting |
| india-forest-soc-fire | Soil organic carbon and wildfire in Indian forests (pre-release) |
| IFM_Forecasting_Herault | Fire Weather Index (FWI) forecasting |
| qcnn_change_detection | Quantum CNN for burned-area change detection (fork; contributed / adapted) |
Python · PyTorch · PyTorch Geometric · Xarray · GDAL · ERA5 · MODIS · Sentinel-2 · WRF-Chem · Qiskit
- Website: murushyam.github.io
- Google Scholar: citations
- ORCID: 0000-0002-9964-6199
- LinkedIn: ms-shyam-sunder