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With $1.6M in funding from the National Science Foundation and Amazon, University of Maryland faculty are developing algorithms and protocols that can improve the efficiency, reliability and trustworthiness of artificial intelligence systems.

A graduate student in the Join

Her research focuses on multimodal interaction, physically based animations and simulations, as well as algorithmic robotics and their use in physical and virtual environments.

The grant will assist in the development of software that provides a rapid analysis of biological sequence data.

A multi-institutional team that includes Associate Professor Rob Patro (left in photo) and Ph.D. student Dongze He (right) has released a toolkit for the efficient processing of single-cell and single-nucleus RNA sequencing data.

Andreea Alexandru’s research involves privacy-preserving protocols with applications in cyber-physical systems and machine learning.

UMD researchers are developing sophisticated algorithms that can help health care officials determine the best locations to place vaccination sites.

Daochen Wang, a fourth-year doctoral student advised by Andrew Childs and Carl Miller, advanced through five elimination rounds to take the top prize.

Through a $2 million contract with the Maryland State Department of Education, Niklas Elmqvist is working to make data visualization tools more accessible for high school students who are visually challenged.

A pioneering researcher of bias in machine learning has joined the University of M