Teaching & Mentorship

Fostering next-generation geoscientists through hands-on learning and research

Teaching Positions

Teaching Assistant

National Institute of Technology, Rourkela

2015 - 2021

Courses Taught

  • Atmospheric Sciences Laboratory - Hands-on meteorological instrumentation and data analysis
  • Numerical Methods in Earth Sciences - Computational techniques for geophysical problems
  • Remote Sensing Applications - Satellite data processing and interpretation
  • Geographic Information Systems - Spatial analysis and geospatial modeling

Responsibilities

  • Lab instruction and demonstrations
  • Assignment and exam preparation
  • Student mentoring and guidance
  • Research project supervision
  • Technical skill development workshops
  • Academic advising for graduate students

Assistant Professor

Galgotias University, Greater Noida

Aug 2013 - Dec 2014

Undergraduate Courses

  • Remote Sensing & GIS - Introduction to geospatial technologies
  • Environmental Engineering - Environmental systems and pollution control
  • Geoinformatics - Spatial data science and applications
  • Surveying & Geomatics - Field surveying techniques and coordinate systems
200+ students taught 15+ projects supervised

Student Supervision

2

M.Tech Theses

5

B.Tech Projects

3

Research Internships

Thesis & Project Topics

  • Urban heat island analysis using remote sensing and WRF modeling
  • Land use/land cover change detection for urban planning
  • Precipitation pattern analysis during monsoon season
  • GIS-based site suitability analysis for infrastructure development
  • Climate data processing and visualization using Python

Technical Workshops & Training

Building computational skills for modern geoscience research

WRF Model Training

Comprehensive introduction to Weather Research and Forecasting model setup, configuration, and analysis

WRF/WPS Domain Setup Post-processing

Python for Geospatial Analysis

Hands-on training in Python libraries for climate data analysis, spatial operations, and visualization

xarray geopandas matplotlib

Remote Sensing with QGIS

Satellite image processing, classification, and spatial analysis using open-source GIS software

QGIS Image Classification Spatial Analysis

Climate Data Processing

Working with NetCDF files, ERA5 reanalysis, and large climate datasets using command-line and Python tools

NetCDF ERA5 CDO/NCO

Teaching Philosophy

Applied Learning Through Real-World Projects

I believe students learn best when working on authentic research problems. My courses emphasize hands-on experience with real datasets, encouraging students to develop practical skills directly applicable to research and industry careers in geosciences.

Computational Skills as Core Competencies

Modern geoscience increasingly relies on computational tools. I integrate programming (Python), data analysis, and visualization throughout my teaching, ensuring students graduate with strong technical capabilities alongside domain knowledge.

Collaborative & Open Science

I promote collaborative learning, peer instruction, and open-source tools. Students work in teams, share code via GitHub, and learn reproducible research practices that prepare them for modern scientific workflows.

Research Integration

Teaching and research are deeply connected. I bring current research challenges into the classroom, and student projects often contribute to ongoing research, creating meaningful learning experiences and advancing scientific knowledge simultaneously.