Hajiaghayi was specifically noted for his “contributions to the theory of algorithms, in particular algorithmic graph theory, game theory, and distributed computing.”

From detecting illegal stock market activity to increasing safety in self-driving vehicles to improving facial ID recognition, machine learning systems promise to revolutionize a range of security applications—and now a team of UMIACS computing experts is working to ensure adversaries can't penetrat

The funding will support doctoral student Eddie Schoute’s research in developing new methods to route quantum information more efficiently.

Four University of Maryland computer science doctoral students received prestigious NSF fellowships for their research in cybersecurity, automation, and bioinformatics, recognizing their outstanding academic and research achievements.

The award-winning paper, which was co-authored by Abhinav Shrivastava, explores the concept of object localization for egocentric vision.

The goal of Shrivastava’s research is to teach AI systems how to recognize dynamic environments and react appropriately, without needing to be retrained on a large data set.

The funding supports joint projects between faculty from the University of Maryland, College Park, and medical experts at the University of Maryland, Baltimore.

Aravind Srinivasan, Rita Colwell and Abhinav Bhatele are deploying the latest advances in artificial intelligence, machine learning, supercomputing and social science data against epidemic outbreaks.

He is one of 10 UMD faculty chosen to receive this honor in 2020.