I'm a passionate PhD Candidate at the Department of Geography and the Environment at the University of Alabama, focusing on the fascinating intersection of Geographic Information Science (GIS), Remote Sensing, deep learning and Machine Learning. My research explores river dynamics, meander detection and classification, hydrological and hydraulic modeling, flood risk assessment, and environmental modeling, leveraging cutting-edge geospatial technologies.
Previously, I had the privilege of lecturing at Kathmandu University, Nepal, and I hold the distinction of being the first Nepali to earn an M.Sc. in Geoinformatics from the University of Muenster, Germany.
Programming Languages:
- 🐍 Python
- 🌐 JavaScript
- 📊 R
Key Areas of Expertise:
- 🗺️ GIS, Geospatial, Geomatics, Geoinformatics, Geomorphology
- 🛰️ Remote Sensing, UAVs, LiDAR
- 🤖 Machine Learning & Deep Learning
- 🌊 River Analysis & Flood Modeling
- Medial Axis Transform Approach: Innovative methods for river centerline extraction.
- Meander Classification using Machine Learning: Applying ML to classify river meanders.
- Deep Learning Meander Classification: Advanced classification with deep learning models.
- CrossSections Extraction Visualization: Visualizing river cross-section data.
- Deriving Morphological Information: Extracting river morphology insights.
- Flood Inundations: Modeling and mapping flood inundation.
- Integrated Information System: Building comprehensive information systems.
- Image Segmentation: Advanced image analysis techniques.
- Satellite Overpass Predict: Predicting satellite overpass times.
- SWAT Modeling: Hydrological modeling with SWAT.
- MMAT: Python package for Medial Axis Transform.
- MMATCWE: Another robust Medial Axis Transform Python package.
- MATGlobal: Global Medial Axis Transform application.
- MATCW: Meander classification web application.
- MCM: Meander classification model.
- SlopeCurvature: Slope and curvature analysis tool.
- Flood Morang: Flood analysis for Morang region.
