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These classes help undergraduates understand and apply artificial intelligence.
The University of Maryland offers an unparalleled educational experience in artificial intelligence (AI) through both innovative curriculum and cutting-edge research. This combination positions UMD students to be leaders in the AI landscape. From game design...read more
He discusses his career path, research on human-computer interaction, and the importance of sustainable innovation.
University of Maryland Assistant Professor of Computer Science Huaishu Peng focuses his research on bridging the gap between digital and physical interactions. His work in human-computer interaction (HCI) explores how devices such as small robots,...read more
Robel Endashaw and Abubakr Hussien create Cube, a digital platform inspired by traditional Ethiopian money pools that promotes shared saving and accountability.
When University of Maryland computer science students Robel Endashaw (B.S. ’25, computer science) and Abubakr Hussien (B.S. ’26, computer science) began discussing money management, their conversation turned toward a familiar concept rooted in their culture...read more
Many robotic systems rely on sophisticated cameras and sensors to “see” their surroundings. Humans do this naturally; babies and toddlers learn to judge size and distance by comparing objects to their own bodies. But robots...read more
He discusses his path into data visualization and human-centered AI.
University of Maryland Assistant Professor of Computer Science Leo Zhicheng Liu focuses his research on the intersection of artificial intelligence, human-computer interaction and data visualization. His work aims to make data analysis and communication more...read more
Associate Professor Dave Levin spoke with WIRED about the findings.
Satellites beam data down to the Earth all around us, all the time. So you might expect that those space-based radio communications would be encrypted to prevent any snoop with a satellite dish from accessing...read more
Angeline May Aguinaldo and Songwei Ge received the awards for the 2025–26 academic year.
The University of Maryland’s Department of Computer Science has announced the recipients of the 2025–26 Larry S. Davis Doctoral Dissertation Award. Angeline Aguinaldo (Ph.D. ’25, computer science), now a senior research staff member at the...read more
More than 9% of all news in U.S. newspapers contains at least some text created by artificial intelligence (AI), according to new research led by University of Maryland computer scientists. The study, based on analysis...read more
Upcoming Events
Talk
11.14.2025 11:00 to 12:00
Interpretability as the Inverse Machine Learning Pipeline
Sarah Wiegreffe
IRB 0318 (Gannon) or https://umd.zoom.us/j/93754397716?pwd=GuzthRJybpRS8HOidKRoXWcFV7sC4c.1
Interpretability as the Inverse Machine Learning Pipeline
Sarah Wiegreffe
Talk
11.14.2025 12:00 to 14:00
PhD Defense: Improving Knowledge Discovery: Advanced Topic and Language Models
Kyle Seelman
IRB-4107 https://umd.zoom.us/j/6439360497
PhD Defense: Improving Knowledge Discovery: Advanced Topic and Language Models
Kyle Seelman
Event
Event
Talk
11.17.2025 11:30 to 13:00
PhD Proposal: LEARNING ROBOT POLICIES FROM INTUITIVE HUMAN GUIDANCE
Amisha Bhaskar
IRB-4105 https://umd.zoom.us/my/tokekar
PhD Proposal: LEARNING ROBOT POLICIES FROM INTUITIVE HUMAN GUIDANCE
Amisha Bhaskar
Talk
11.18.2025 12:00 to 13:30
PhD Defense: Computational methods for identifying single and combinatorial CAR T-cell targets from single-cell transcriptomics data
Sanna Madan
IRB-4109 https://umd.zoom.us/j/4125988414?omn=95810114990
PhD Defense: Computational methods for identifying single and combinatorial CAR T-cell targets from single-cell transcriptomics data
Sanna Madan
Talk
11.19.2025 11:00 to 12:30
PhD Proposal: Towards Unified Metadata Management of Data Lake Systems
Keonwoo Oh
IRB-5137 https://umd.zoom.us/j/6060059703?pwd=XijRCLNpxDIo1kUPoFbn3dYza0DQRS.1&om...
PhD Proposal: Towards Unified Metadata Management of Data Lake Systems
Keonwoo Oh
Talk
11.19.2025 12:00 to 14:00
PhD Proposal: Methods for Improving the Communication Efficacy of Language Models: Faithfulness and Pragmatics
Lingjun Zhao
IRB-5105 https://umd.zoom.us/j/6758003397
PhD Proposal: Methods for Improving the Communication Efficacy of Language Models: Faithfulness and Pragmatics
Lingjun Zhao
Talk
Event
11.14.2025 11:00 to 12:00
Interpretability as the Inverse Machine Learning Pipeline
IRB 0318 (Gannon) or https://umd.zoom.us/j/93754397716?pwd=GuzthRJybpRS8HOidKRoXWcFV7sC4c.1
Interpretability as the Inverse Machine Learning Pipeline
11.14.2025 12:00 to 14:00
PhD Defense: Improving Knowledge Discovery: Advanced Topic and Language Models
IRB-4107 https://umd.zoom.us/j/6439360497
PhD Defense: Improving Knowledge Discovery: Advanced Topic and Language Models
11.14.2025 12:00 to 13:00
Optimal Distillation of Coherent states with Phase-insensitive operations
ATL 2400
Optimal Distillation of Coherent states with Phase-insensitive operations
11.14.2025 13:00 to 14:00
Code-switching revisited: high-fidelity logical magic state preparation using color codes
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/95583554326?pwd=iZC5M9UAO6mTxnqsCq1pHvK2MvFyzz.1
Code-switching revisited: high-fidelity logical magic state preparation using color codes
11.17.2025 11:30 to 13:00
PhD Proposal: LEARNING ROBOT POLICIES FROM INTUITIVE HUMAN GUIDANCE
IRB-4105 https://umd.zoom.us/my/tokekar
PhD Proposal: LEARNING ROBOT POLICIES FROM INTUITIVE HUMAN GUIDANCE
11.17.2025 15:00 to 16:00
MIPco=coRE
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/92049544549
MIPco=coRE
11.18.2025 11:00 to 12:00
Optimal bounds and computational complexity of perfect quantum state classification
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/91679364399 Meeting ID: 916 7936 4399
Optimal bounds and computational complexity of perfect quantum state classification
11.18.2025 12:30 to 13:30
Blind Computation and Anonymous Credentials with Hidden State and Callbacks
5105
Blind Computation and Anonymous Credentials with Hidden State and Callbacks