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The University of Maryland computer science alum was recognized for research on energy-efficient sensing systems that use sound, radio and light.
University of Maryland Department of Computer Science alum Nakul Garg (Ph.D. '25, computer science) received the 2026 Association for Computing Machinery SIGMOBILE Dissertation Award for developing sensing technologies that operate within limited power, size and...read more
Computer science and mathematics can seem abstract in the classroom. But at the University of Maryland this summer, 27 undergraduates are applying those concepts to problems ranging from reconstructing evolutionary trees to probing the limits...read more
Stewart, a Department of Computer Science faculty member from 1974 to 2008, worked in numerical linear algebra and helped develop LINPACK, a software package used in scientific and engineering computation.
G.W. “Pete” Stewart, a former faculty member in the University of Maryland Department of Computer Science whose work focused on numerical linear algebra and mathematical software, passed away on June 9, 2026. Stewart joined UMD...read more
Manan Suri’s Frames2LoRA project aims to make video AI more efficient through zero-token video understanding for summarization, question answering and real-time decision-making.
As artificial intelligence systems take on larger tasks, the amount of information they process has become a practical concern. More tokens can mean higher costs for users, slower responses and greater demand for computing infrastructure,...read more
What can bees teach us about artificial intelligence? Quite a bit, according to University of Maryland researchers developing the next generation of autonomous robots. Yiannis Aloimonos , a professor of computer science with an appointment...read more
When learning a new language, one of the biggest challenges is training the ear to recognize unfamiliar sounds. A subtle shift in a vowel or an unfamiliar consonant blend can completely change a word's meaning,...read more
Alan Zaoxing Liu, Christopher Kauffman, Mario Alvarenga, Segev Elisha-Cliff Elazar Mittelman and Amrit Magesh were recognized for teaching and instructional support during the 2025–26 academic year.
The University of Maryland’s Department of Computer Science announced its 2025–26 teaching award recipients, recognizing faculty members, teaching assistants and a student-led course facilitator for their work in undergraduate education. This year’s awardees are Assistant...read more
Computer Science Professor David Jacobs was named director of the University of Maryland Institute for Advanced Computer Studies (UMIACS), effective September 6, 2026. Jacobs, who has been a faculty member at UMD since 2002, will...read more
Upcoming Events
Talk
07.13.2026 14:00 to 15:00
Understanding Implicit Content in Language and Language Models
Rupak Sarkar
CS Department, University of Maryland
IRB 4105
Understanding Implicit Content in Language and Language Models
Rupak Sarkar
CS Department, University of Maryland
Talk
07.15.2026 08:00 to 09:30
PhD Defense: On the Robustness of Large Lange Model pipelines
Pankayaraj Pathmanathan
IRB-3137 https://umd.zoom.us/j/8590171525?pwd=VdlBg46vs8c8hRbUydgI5gH5SEbDMO.1&om...
PhD Defense: On the Robustness of Large Lange Model pipelines
Pankayaraj Pathmanathan
Talk
07.17.2026 13:00 to 14:30
PhD Defense: Aligning Foundation Models through Process Supervision and Self-Improvement
Aakriti Agrawal
IRB-4105 https://umd.zoom.us/j/6421587304?pwd=c3JYSno4SExVVnEvZkNpcFhMOFBVQT09
PhD Defense: Aligning Foundation Models through Process Supervision and Self-Improvement
Aakriti Agrawal
Talk
07.20.2026 10:30 to 12:00
PhD Proposal: Rethinking Question Answering Evaluation: Human-Centered Benchmarks for Reasoning, Learning, and Multimodal Understanding
Tasnim Kabir
IRB-4105 https://umd.zoom.us/j/6679711521?omn=99856035574
PhD Proposal: Rethinking Question Answering Evaluation: Human-Centered Benchmarks for Reasoning, Learning, and Multimodal Understanding
Tasnim Kabir
Talk
07.21.2026 09:00 to 11:00
PhD Defense: A Network Model for the Automated Planning and Scheduling of Pipelined Workflows
Taylor Paul
IRB-5105 https://umd.zoom.us/j/4032787668?pwd=O0aGbW7fXhnPC5bHFb68FDBMmVafml.1&om...
PhD Defense: A Network Model for the Automated Planning and Scheduling of Pipelined Workflows
Taylor Paul
Talk
07.21.2026 09:00 to 11:00
PhD Defense: A Network Model for the Automated Planning and Scheduling of Pipelined Workflows
Taylor Paul
IRB-5105 https://umd.zoom.us/j/4032787668?pwd=O0aGbW7fXhnPC5bHFb68FDBMmVafml.1&om...
PhD Defense: A Network Model for the Automated Planning and Scheduling of Pipelined Workflows
Taylor Paul
07.15.2026 08:00 to 09:30
PhD Defense: On the Robustness of Large Lange Model pipelines
IRB-3137 https://umd.zoom.us/j/8590171525?pwd=VdlBg46vs8c8hRbUydgI5gH5SEbDMO.1&om...
PhD Defense: On the Robustness of Large Lange Model pipelines
08.10.2026 14:30 to 15:30
To be announced
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/5972416689
To be announced
08.25.2026 13:00 to 14:00
PhD Defense: To be announced
ATL 3100A and Virtual Via Zoom: To be announced
PhD Defense: To be announced