Worked on multiple projects including:
Developed AI foundation models using Diffusion models for unlabelled satellite data
Developed U-Net models using GOES-16 to identify convection
Two journals submitted and two AMS AI presentations
Sunshade: Software-Defined Solar Power
Feasibility, Cost and Carbon Emissions of Grid Defection
Solar Modeling via Secondary Derived Products from GOES-R, SURFRAD, and weather stations
Solar Modeling using Multispectral Satellite Data from GOES-R
Self-Supervised Learning on Multispectral Satellite Data for Near-Term Solar Forecasting
A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning
Thesis: Health Monitoring for Smart Grid Networks for Prevention Against Failures
Programmable system for grid failure prevention
Grid classification system as per stability zones
Smart meter architecture for last gasp messages
Mixed-criticality RTOS based on LITMUSRT
Cell balancing algorithms for smart batteries
(Picture just for illustration)