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UMD’s annual hackathon continues to create a space for collaboration, learning and community.
Hackathons have long served as a testing ground for creativity and collaboration, where students and professionals come together to solve real-world problems under tight deadlines. Over a day or two, ideas move from concept to...read more
As AI tools become part of everyday life, large language models (LLMs) are growing more capable—generating text, translating languages, assisting with writing, and tackling complex reasoning. But researchers are finding these systems can subtly bend...read more
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
Upcoming Events
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
Talk
11.21.2025 11:00 to 13:00
PhD Defense: Differentiable Systems for Efficient Optimization: From Kinematics to Geometry
Sanghyun Son
IRB-5105 or https://umd.zoom.us/j/6901467837?pwd=TOrh2XuywSgyNUnCm8BgX2Ax7UseJB.1&om...
PhD Defense: Differentiable Systems for Efficient Optimization: From Kinematics to Geometry
Sanghyun Son
Talk
11.21.2025 11:00 to 12:00
Enabling Real-Time Analysis of Human Genomes via New Algorithms and Architectures
Can Firtina
IRB 0318 (Gannon) or https://umd.zoom.us/j/93754397716?pwd=GuzthRJybpRS8HOidKRoXWcFV7sC4c.1
Enabling Real-Time Analysis of Human Genomes via New Algorithms and Architectures
Can Firtina
Event
Event
Talk
11.21.2025 15:00 to 16:30
PhD Proposal: Robust Multimodal Learning for Autonomous Agents
Rui Liu
https://umd.zoom.us/my/tokekar
PhD Proposal: Robust Multimodal Learning for Autonomous Agents
Rui Liu
Talk
11.24.2025 12:00 to 13:30
PhD Proposal: Evaluating the trade-offs of Topic Models, Neural Models, and Large Language Models
Zongxia Li
IRB 5107 https://umd.zoom.us/my/maksimezhang
PhD Proposal: Evaluating the trade-offs of Topic Models, Neural Models, and Large Language Models
Zongxia Li
Talk
11.19.2025 12:00 to 14:00
PhD Proposal: Methods for Improving the Communication Efficacy of Language Models: Faithfulness and Pragmatics
IRB-5105 https://umd.zoom.us/j/6758003397
PhD Proposal: Methods for Improving the Communication Efficacy of Language Models: Faithfulness and Pragmatics
11.21.2025 11:00 to 12:00
Enabling Real-Time Analysis of Human Genomes via New Algorithms and Architectures
IRB 0318 (Gannon) or https://umd.zoom.us/j/93754397716?pwd=GuzthRJybpRS8HOidKRoXWcFV7sC4c.1
Enabling Real-Time Analysis of Human Genomes via New Algorithms and Architectures
11.21.2025 15:00 to 16:30
PhD Proposal: Robust Multimodal Learning for Autonomous Agents
https://umd.zoom.us/my/tokekar
PhD Proposal: Robust Multimodal Learning for Autonomous Agents
11.24.2025 12:00 to 13:30
PhD Proposal: Evaluating the trade-offs of Topic Models, Neural Models, and Large Language Models
IRB 5107 https://umd.zoom.us/my/maksimezhang
PhD Proposal: Evaluating the trade-offs of Topic Models, Neural Models, and Large Language Models