Papailiopoulos earns NSF CAREER Award: What can cellphone clarity teach machine learning?

“For applications that involve human lives you want to be very confident in the decisions these predictive models make,” says Dimitris Papailiopoulos, an assistant professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison.

Papailiopoulos is taking an unconventional approach to make machine learning algorithms and models more robust by drawing from the field that helps our cell phone conversations come through without being garbled. That’s an area called coding theory. Read the full article here.