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Laxman Dhulipala, Justin Olav Wyss-Gallifent, Shaobo Cui, Christina Xu and Christian Nygard recognized for their instructional impact as faculty and teaching assistants in the 2024–25 academic year.
The University of Maryland’s Department of Computer Science has announced the recipients of its 2024–25 teaching awards, honoring excellence across tenure-track, professional track and instructional assistant roles. This year’s awardees include Assistant Professor Laxman Dhulipala...read more
If you've ever used an AI chatbot, you may have noticed something strange. Sometimes, when you ask it to 'try again' or 'think harder,' the answers don't get better, they just get weirder. Now, a...read more
The program aims to prepare industry-ready AI leaders.
The University of Maryland will offer a new Master of Science in artificial intelligence (AI) this fall to teach the fundamentals of this transformative technology while giving students the expertise needed to address important questions...read more
Ding aims to align intelligent systems with human intent through multimodal research.
University of Maryland Department of Computer Science Ph.D. student Yuran Ding has been awarded a National Science Foundation (NSF) Graduate Research Fellowship (GRFP), one of the most competitive honors available to graduate students in science,...read more
At the University of Maryland Institute for Health Computing (IHC), medical researchers, clinicians, mathematicians, and computational and physical scientists are working together across campuses to tackle urgent medical challenges with advanced technologies. Teams are using...read more
Andrew Childs , a professor of computer science, was named interim director of the University of Maryland Institute for Advanced Computer Studies (UMIACS), effective July 1, 2025. Childs is the director of the NSF Quantum...read more
With support from computer science professor Mihai Pop, the center unites researchers across disciplines to study microbial communities and expand microbiome research at UMD.
Stephanie Yarwood , a professor of environmental science and technology at the University of Maryland (UMD), recently sat down to discuss her role co-leading the UMD Center of Excellence in Microbiome Sciences. Launched in February...read more
In the clamor of a crowded café or the din of a busy street, your brain performs a quiet miracle—tuning into one voice while filtering out the rest. This ability, known as auditory attention, is...read more
Upcoming Events
Talk
07.15.2025 11:00 to 13:00
PhD Proposal: Qunity and COGNAC: Finding the Right Abstractions for Quantum Programming
Finn Voichick
IRB-5105 https://umd.zoom.us/my/leonidas
PhD Proposal: Qunity and COGNAC: Finding the Right Abstractions for Quantum Programming
Finn Voichick
Talk
07.16.2025 10:00 to 12:00
PhD Defense: Identifying and Mitigating Bias in Machine Learning for Healthcare
Daniel Smolyak
IRB-4105 or https://umd.zoom.us/j/3183281812?omn=99478395069&jst=2
PhD Defense: Identifying and Mitigating Bias in Machine Learning for Healthcare
Daniel Smolyak
Talk
07.17.2025 11:00 to 13:00
PhD Defense: Flexible Input for Novel View Synthesis
Geng Lin
IRB-4105 or https://umd.zoom.us/j/93051409149?pwd=aQbQ7NZVbQLjuNtTHx2vL85aMUEamB.1
PhD Defense: Flexible Input for Novel View Synthesis
Geng Lin
Talk
07.21.2025 09:30 to 11:30
PhD Defense: Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems
Peihong Yu
IRB-3137 or https://umd.zoom.us/my/tokekar
PhD Defense: Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems
Peihong Yu
Event
Event
Event
Event
Event
Event
07.15.2025 11:00 to 13:00
PhD Proposal: Qunity and COGNAC: Finding the Right Abstractions for Quantum Programming
IRB-5105 https://umd.zoom.us/my/leonidas
PhD Proposal: Qunity and COGNAC: Finding the Right Abstractions for Quantum Programming
07.16.2025 10:00 to 12:00
PhD Defense: Identifying and Mitigating Bias in Machine Learning for Healthcare
IRB-4105 or https://umd.zoom.us/j/3183281812?omn=99478395069&jst=2
PhD Defense: Identifying and Mitigating Bias in Machine Learning for Healthcare
07.17.2025 10:00 to 12:00
PhD Defense: Locality and Complexity in Quantum Information Dynamics
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/94509639588?pwd=nCsEBo26jxvGa6wrw4syXkgKhvRQbE.1
PhD Defense: Locality and Complexity in Quantum Information Dynamics
07.17.2025 11:00 to 13:00
PhD Defense: Flexible Input for Novel View Synthesis
IRB-4105 or https://umd.zoom.us/j/93051409149?pwd=aQbQ7NZVbQLjuNtTHx2vL85aMUEamB.1
PhD Defense: Flexible Input for Novel View Synthesis
07.18.2025 12:00 to 14:00
PhD Defense: Quantum error corrections for fermionic and bosonic systems
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/2639797355
PhD Defense: Quantum error corrections for fermionic and bosonic systems
07.21.2025 09:30 to 11:30
PhD Defense: Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems
IRB-3137 or https://umd.zoom.us/my/tokekar
PhD Defense: Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems
08.05.2025 11:00 to 12:00
Quantum Error-Correcting Codes: Dynamics, Non-Classicality, and a Unified Framework
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/9137887602?pwd=ei84WW1MZG9aUWtiempMWVNCWVY3dz09&om...
Quantum Error-Correcting Codes: Dynamics, Non-Classicality, and a Unified Framework