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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.

The funding supports Mazurek’s efforts to improve the development of secure software by empirically establishing best practices and tradeoffs.

A team led by Niklas Elmqvist is working to expand the use of mixed reality, building on ideas already in use while exploring challenges that still need to be addressed like biased data and user costs.

The funding supports his efforts to develop a comprehensive and fundamental understanding of the intertwined statistical and computational aspects of modern generative models.

HCIL researchers developed an interactive sequence recommender that gives users more control and transparency to make consequential life choices compared to existing systems.