Recent News & Accomplishments
2020
Research is integral to the mission of the Department of Computer Science. Faculty members and students conduct studies in traditional and interdisciplinary research areas. Below is a selection of recent funding awards and the work they will support. Improving Mental Telehealth Services Using Artificial Intelligence Computer scientists at the University of Maryland, College Park, and child behavioral specialists at the University of Maryland, Baltimore, received an award from MPowering the State’s COVID-19 Response Fund to improve telehealth services for children living in rural areas of the... read more
The financial and technology leader was the inaugural partner in UMD’s Center for Machine Learning.
When the University of Maryland Center for Machine Learning launched in 2019 to unify and enhance the many machine learning activities underway on campus, financial and technology leader Capital One committed to being the center’s inaugural partner. “We were proud to be a part of launching the University of Maryland Center for Machine Learning and proud to continue our partnership with the university in this field,” said Paul Hurlocker, Vice President, Center for Machine Learning, Capital One. “At Capital One, we've invested in forward-leaning technologies like machine learning that can... read more
While deep learning is an increasingly popular form of artificial intelligence used in products and services that impact hundreds of millions of lives—it’s deployed in robots, driverless cars and systems that decide who should go to jail and who should get a credit card—no one quite understands how it actually works. Tom Goldstein , an associate professor of computer science with an appointment in the University of Maryland Institute for Advanced Computer Studies , recently joined a multi-institutional team of engineers, computer scientists, mathematicians and statisticians who are tasked... read more
This article is republished from Maryland Today Sci-Fi Social Distancing BY CHRIS CARROLL From meltdowns at Walmart over mask mandates to refusals to stay 6 feet from others at pool parties and political events, the COVID-19 pandemic has underlined something we already knew: People can get prickly when other people call them out for breaking rules. But what about a gentle hint from a robot? With help from National Science Foundation EAGER grant and other funding sources, a team of University of Maryland computing researchers is exploring how autonomous robots whisking smoothly through crowds... read more
The University of Maryland has a new four-year undergraduate program that combines art with computer science to prepare students to design and develop immersive media content and tools. The immersive media design (IMD) major is co-taught by art and computer science faculty with expertise in virtual and augmented reality, digital art, projected imagery, computer graphics, 3D modeling, and user interfaces spanning audio, visual and tactile platforms. “The goal is to graduate students who can collaborate effectively across creative and technical boundaries, and will excel in their field, whether... read more
This article is republished from Terp By Chris Carroll, Photo by Stephanie S. Cordle Pavan Ravindra ’21 stares intently at the jumbled Rubik’s Cube, then attacks. In the dim light of his College Park apartment and over the iffy video of a Zoom call, his hands dissolve in a blur of rapid twists and flips. He slams it down, solved, and hits the timer. The result: just under 10 seconds. What seems like a freakish display of skill, however, slightly embarrasses Ravindra, a dual-degree major in biochemistry and computer science. A world-class “cuber,” he’s often solved the Rubik’s Cube faster... read more
A University of Maryland expert in algorithms and high-performance computing has been funded by Google to develop computational techniques to improve contact tracing methods in the wake of COVID-19, research that could ultimately provide fundamental new insights into how epidemics can be controlled. Aravind Srinivasan , a Distinguished University Professor of computer science with an appointment in the University of Maryland Institute for Advanced Computer Studies , is one of the four principal investigators of the $140K project. He is joined by researchers from Princeton University and the... read more
Meet four impressive first-year CS Terps as they join UMD
Completing their high school careers and commencing their college ones while navigating the “new normal” of a global pandemic deserves credit on its own. But students in the University of Maryland’s incoming first-year class have accomplished much more. The group of around 4,300—including 500 computer science majors—is eager to meet new people, learn new things and start a new chapter. As they officially begin their time as Terps amid an unprecedented fall semester, meet four computer science majors below, virtually, of course: Faris Ali After graduating from Sunday school at his mosque,... read more
The University of Maryland’s undergraduate computer science program ranks No. 16 in the nation in the 2021 edition of U.S. News & World Report’s “Best Colleges.” The undergraduate program ranks 8th among public universities. In the computer science specialties, UMD ranks 9th in cybersecurity and 16th in artificial intelligence and data analytics/science. This is the first year the publication has ranked computer science undergraduate programs and specialties. “I am thrilled that we are ranked among the nation’s best computer science undergraduate programs,” said Matthias Zwicker, interim... read more
Professor Philip Resnik received an NSF grant from the Division of Information and Intelligent Systems for his project titled “ RI: Small: Modeling Co-Decisions: A Computational Framework Using Language and Metadata .” The funded project will develop computational models to help illuminate why and how individuals make similar or different choices, for example legislators in political contexts. The research focuses on going beyond previous factors like party and demographics to analyze similarities and differences in individuals' language, using techniques that identify interpretable, task-... read more