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

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

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

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

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

The award, from the National Center for Women & Information Technology, recognizes individuals that provide outstanding mentorship and high-quality research opportunities for undergraduate students, are who are active in the recruitment of women and minority students in computing-related fields.

He was recognized for his contributions to randomized algorithms and probabilistic methods with applications to network and computational science.

The funding supports Wu’s efforts to bridge the gap between the theoretical foundation of quantum computing and the limitation of realistic quantum machines.