International Arctic Research Center of University of Alaska Fairbanks - visiting scholar
- Compared Arctic cyclone climatology detected by the TempestExtreme algorithm and a modified automated cyclone identification and tracking algorithm
High-Latitude Application and Testing of Earth System Models (HILAT) of Department of Energy - Postdoctoral research
- Feature detection of Arctic cyclones by applying TempestExtreme algorithm on Energy Exascale Earth System Model (E3SMv1) high-resolution data
- Investigating the causal relationship between tropopause polar vortices and Arctic cyclones
In-Situ Inference: Bringing Advanced Data Science into Exascale Simulations project. Los Alamos National Laboratory Directed Research and Development Directed Research project - Postdoctoral research
- Feature detection of North Atlantic tropical cyclone by applying TempestExtreme algorithm on in simulated (E3SMv1) and observed data
- Evaluating Madden Julian Oscillation mediated tropical cyclone occurrence variability
- Climatological representation of mean state biases that contribute to TC biases
- Computing the probability of tropical cyclone-associated extreme precipitation
Western Southwest Pacific Tropical Cyclone Frequency and Intensity Related to Observed and Modeled Geophysical and Aerosol Variables - PhD dissertation
- Assessed the predictive capacity of machine learning and spatial statistics to understand the environmental variables’ influence on tropical cyclone events in a changing climate
- Observational and high dimensional gridded aerosol and geophysical satellite data used from a variety of sources (e.g., SPEArTC, and satellite sensors)
- Utilized R, Python, and ArcGIS to perform data analysis and graphical representation of the model outcome
Summer-time Urban Heat Island (UHI) in Kolkata Metropolitan Area - M.Sc. thesis
- Statistically analysed UHI trend and UHI impact on relative humidity and precipitation utilizing Indian Meteorological Department environmental data
NASA Develop National Program - Project Lead and Research Consultant
- Leveraged NASA Earth Observing Systems to identify, and measure flood extent patterns in New Orleans, LA. Python, ArcGIS, and QGIS have been utilized to conduct the research.
Assessment of the relationship between economic development and environmental quality - Summer Research
- Developed zonal statistical model of county-level population density influence on aerosol contribution using the NASA Earth Observation dataset
Geo-spatially analyzing sustainability status - Jadavpur University project research
- Developed a ‘single index’ to assess sustainability, namely the ‘Composite Sustainability Index’ and applied it to assess the sustainability status and its dynamics of 29 Indian states and seven union territories