Since the coronavirus pandemic began, experts have been analyzing data sets to try to predict the number of people who will be infected with the virus. Using nationwide statistics for COVID-19, a Mason electrical engineering master’s student tested a computational method to estimate new infections each day.
Imagine a day when canopies of solar panels across campus generate enough electricity to meet all of Mason’s power needs. That’s the dream of seven senior engineering students and faculty advisor Liling Huang, an associate professor in the Department of Electrical and Computer Engineering (ECE).
