I am on the job market!
I am Akansha, a final-year Ph.D. student in Computer Engineering at the University of Massachusetts, Amherst, and I am fortunately advised by Prof. David Irwin. I am broadly interested in AI for climate change and renewable energy.
My thesis is on data-driven approaches for control, modeling and, forecasting for solar-powered residences. I have explored multispectral satellite data for better modeling and forecasting of solar generation in residential homes. I have experience in working on real data and combining physics-based models with data-driven models based on machine learning. I am excited about the potential of using satellite data and machine learning methods in solving other problems related to climate change.
Prior to joining UMass Amherst in Fall'15, I worked in the School of Computer Engineering - NTU, Singapore as a Research Associate (2014-2015). I have MS by Research in Information Technology from IIIT-Bangalore (2011-2014) and B.Tech in Computer Science and Engineering from MDU, Rohtak (2007-2011).
I am on the industrial job market. Please contact me if you are hiring and interested in my research!
I passed my Ph.D. Dissertation Proposal titled, "Data-Driven Control, Modeling, and Forecasting for Residential Solar Power", at UMass Amherst.
Our Paper "See the Light: Modeling Solar Performance using Multispectral Satellite Data", received honorable mention under best presentation award in ACM Buildsys'20
Our Paper "See the Light: Modeling Solar Performance using Multispectral Satellite Data", Akansha Singh Bansal and David Irwin got accepted in ACM Buildsys'20.
Our Paper "Exploiting Satellite Data for Solar Performance Modeling", Akansha Singh Bansal and David Irwin got accepted in IEEE Smartgridcomm'20.
I am teaching an undergraduate first-year seminar course at UMass Amherst this Fall'2020 titled - "Staring at the Sun: An Introduction to Solar Energy".
I am attending Grace Hopper Celebration (GHC'19) at Orlando, Florida - (October 1 - October 4' 2019).
I will be presenting our paper (On the Feasibility, Cost, and Carbon Emissions of Grid Defection) at IEEE Smartgridcomm'19 in Beijing, China - (October 20 - October 24' 2019).