She is joined on the project by UMD faculty members Shihab Shamma, a professor of electrical and computer engineering and Behtash Babadi, an associate professor of electrical and computer engineering.

Their work will focus on actionable solutions, transparency and civic engagement for lower-income residents that rely on bus and light rail systems.

The researchers will focus their efforts on developing a theory of deep learning based on rigorous mathematical principles.

Kelsey Fulton, an avid rock climber, puts discipline and determination into her research, which explores the human factors of information security with a focus on software developers and security professionals.

The workshop offers a team-based setting that provides a positive intellectual, social and emotional environment for participants interested in computing.

Feizi is designing Reverse Engineer Deceptions (RED), a program that will not only be able to identify the origin of the attack and its sophistication level, but also the most effective defense to use against future attacks.

Boyd-Graber and his team are presenting two papers on how to quickly train aging AI systems to sift through medical and emergency data.

A paper by Daochen Wang (in photo) and Andrew Childs in QuICS explores current boundaries—and possible future advances—involving exponential quantum speedups.

The project will receive $450K over the next three years as part of the Air Force Office of Scientific Research Young Investigator Research Program.