Talks:

2023:

Presented two talks at the AMS AI Conference'23

A Primer on Neural Network Architectures to Extract Information from Meteorological Image Sequences, Link

Artificial Intelligence for Low-Level Moisture from GOES-R Series, Link

2022:

Talk at the Satellite Data for Energy Analysis and Policy at University of Wisconsin - Madison in October'22

Spatio-Temporal Modeling on Multispectral Satellite Data using Self-Supervised Learning at the Transformers for Environmental Science (ESST) Workshop in September'22

A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning, ACM e-Energy'22

Journal Club Talk, May'2022 NSF AI2ES

Spatio-Temporal Modeling from Multispectral Satellite Data using Deep Learning, NSF AI2ES

Solar Nowcasting from Multispectral Satellite Data using self-supervised learning, PARC a Xerox Company, Palo Alto

2021:

Data-driven Control, Modeling, and Forecasting for Residential Solar, Ph.D. Defense at UMass Amherst

Data-driven Control, Modeling, and Forecasting for Residential Solar at Lawrence Berkeley National Laboratory

Solar Modeling and Nowcasting from Multispectral Satellite Data using Deep Learning at Stanford University

AI-Driven High-Resolution Gravitational Maps at GeoAI group, Oak Ridge National Labs

Self-Supervised Learning on Multispectral Satellite Data for Solar Nowcasting at GeoAI group, Oak Ridge National Labs

Self-Supervised Learning on Multispectral Satellite Data for Near-Term Solar Forecasting at ICML Climate Change Workshop

ECE 3-Minute Thesis Competition at UMass Amherst - received the third prize!

Data-Driven Controlling, Modeling and, Forecasting for Residential Solar Power - Ph.D. Proposal at UMass Amherst

2020:

Lightning Talks Competition during the 2020 Energy Data Analytics Symposium - received a second prize! Check the talk here, and the media coverage on Twitter, LinkedIn, Facebook

See the Light: Using Multispectral Satellite Data for Solar Performance Modeling at BuildSys 2020

Exploiting Satellite Data for Solar Performance Modeling at SmartGridComm2020

Staring at the Sun: An Introduction to Solar Energy, Undergraduate Course at College of Engineering, UMass Amherst (Fall'2020)

2019:

On the Feasibility, Cost, and Carbon Emissions of Grid Defection at SmartGridComm2019

2017:

Sunshade: Enabling Software-Defined Solar Powered Systems at ICCPS 2017

2016:

SmartSim - A Device-accurate Smart Home Energy Trace Generator by Dong Chen, David Irwin, and Prashant Shenoy at SmartGridComm'16

SunShade: Software-defined Solar Power at ACM e-Energy 2016.

2014:

Health Monitoring in Smart Grid Using Big Data Perspective at 6th IBM Collaborative Academia Research Exchange, (IBM I-CARE 2014)

Health Monitoring for Smart Grid Network for Prevention Against Failures, at IIIT-Bangalore

2013:

Distributed Health Monitoring System for Control in Smart Grid Network at ISGT- ASIA

Vulnerability Analysis of Power Grid Network against Failures by State Classification at EPEC 2013

Two Tier Communication Architecture for Smart Meter at COMSNETS 2013

Paper Review:

TPC member for: SciPy’22, FATEsys 2021, INDICON 2016 ,CONECCT-2015