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University of Maryland computer scientists share research on AI robustness, interpretability and human-AI interaction at the annual International Machine Learning Conference.
Researchers from the University of Maryland’s Department of Computer Science are presenting 16 papers at the 42nd International Conference on Machine Learning (ICML 2025), which will take place from July 13 to 19 in Vancouver,...read more
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
A University of Maryland graduate student specializing in cryptography has been recognized for his outstanding academic achievements and research. Alexander “Sasha” Frolov, a first-year computer science doctoral student working in the Maryland Cybersecurity Center (MC2),...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
Upcoming Events
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
Talk
07.22.2025 09:00 to 11:00
PhD Defense: Fairness and Uncertainty in Graph Matching
Nathaniel Grammel
IRB-3137 OR https://umd.zoom.us/j/9398853433
PhD Defense: Fairness and Uncertainty in Graph Matching
Nathaniel Grammel
Event
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Event
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
07.22.2025 09:00 to 11:00
PhD Defense: Fairness and Uncertainty in Graph Matching
IRB-3137 OR https://umd.zoom.us/j/9398853433
PhD Defense: Fairness and Uncertainty in Graph Matching
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