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🚀 About Me

I'm focusing on the intersection of Geographic Information Science (GIS), Remote Sensing, Deep Learning and Machine Learning to understand fluvial systems. My research explores river dynamics, meander detection and classification, hydrological and hydraulic modeling, and flood resilience.

🛠️ My Toolkit

Programming Languages:

  • 🐍 Python
  • 🌐 JavaScript
  • 📊 R

Key Areas of Expertise:

  • 🗺️ GIS, Geospatial, Geomatics Engineering, Geoinformatics, Fluvial Geomorphology
  • 🛰️ Remote Sensing, UAVs, LiDAR, SAR, Surveying, Photogrammetry
  • 🤖 Machine Learning & Deep Learning
  • 🌊 Soil Erosion & Flood Resilience

📂 Featured Projects

📦 Packages

  • MMAT: Python package for Medial Axis Transform.
  • MMATCWE: Medial Axis Transform Python package.
  • LPCC: Python tool that extracts elevation cross-sections.
  • CSEV: Tool automates extracting cross-sections with their horizontal distance and elevation.
  • BIC: R package for Bayesian Causal Inference with Image Data. .
  • patchseg: Python module for segmenting grains, clasts, and particles in large images.

🌐 Applications

  • MATGlobal: Global Medial Axis Transform application.
  • FRCF: Framework for data-driven classification of flood resilience.
  • MATCW: Meander classification web application.
  • MCM: Meander classification model.
  • SlopeCurvature: Slope and curvature analysis tool.
  • Flood Morang: Flood analysis for Morang region.
  • RPubs: Interactive dashboards and maps providing real‑time analytics and visualizations.

🏆 Achievements & Contributions

Awards Conferences Courses Software Supervisions Instruments Judges Licenses Memberships Mentorships Publications Blogs Reviewer Training

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