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He discusses his path into computing, his work in computational genomics and advice for students interested in computational biology.
University of Maryland Associate Professor of Computer Science Rob Patro works in computational genomics, where his research addresses the growing need to process and interpret large amounts of biological sequencing data. He leads the COMBINE...read more
Graduate and undergraduate commencement ceremonies honored 1,191 computer science students.
For many students, commencement is measured in brief moments: a name called from the stage, a handshake, a photo with family or a final walk with classmates. Behind those moments are years of coursework, research,...read more
Her research examines how irrelevant information can influence reasoning in large language models.
University of Maryland Department of Computer Science Ph.D. student Hillary Owusu received an ACM-W scholarship to attend the 64th Annual Meeting of the Association for Computational Linguistics , where she will present research examining irrational...read more
At the University of Maryland, researchers aren’t just building smarter AI—they’re trying to teach machines how to reason. Led by computer science professor Mohammad Hajiaghayi , a UMD team is working toward an ambitious goal:...read more
CS majors Sujay Konda and Ishan Raghavendra each ranked in the top 200 out of more than 4,300 competitors in one of the most prestigious mathematics contests for undergraduates in North America.
Every winter, thousands of college students across the United States and Canada sit down for six hours to take the 12-question Putnam Competition exam, widely considered one of the most difficult undergraduate math contests in...read more
Her work examines how multilingual AI systems can facilitate cross-language communication, including in settings where translation errors can affect how people understand information.
University of Maryland Associate Professor of Computer Science, Marine Carpuat , studies natural language processing, with a focus on multilingual artificial intelligence and cross-language communication. Her work examines how AI systems can help people communicate...read more
Researchers affiliated with the Joint Center for Quantum Information and Computer Science (QuICS) are part of two of the five finalist teams selected in the $5 million XPRIZE Quantum Applications competition, an international effort to...read more
Computer Science Assistant Professor Ruohan Gao and Distinguished University Professor Ming Lin turned a single image into an explorable world that sounds like the real thing.
Ruohan Gao didn’t set out to study sound. He began his work in computer vision, drawn to what he calls the most “obvious” way humans understand the world: by sight. “Vision is so fundamental for...read more
Upcoming Events
Talk
06.01.2026 14:30 to 16:00
PhD Defense: Towards Principled AI Agents with Asymmetric and Decentralized Information
Xiangyu Liu
IRB-5105 https://umd.zoom.us/j/7269246363#success
PhD Defense: Towards Principled AI Agents with Asymmetric and Decentralized Information
Xiangyu Liu
Talk
06.02.2026 14:00 to 15:30
PhD Proposal: Beyond Descriptive xAI: Cross-Domain Methods for Converting Interpretability into Model Improvement
Sai Yerramreddy
University of Maryland Institute for Health Computing - Meeting Room 4 https://umd.zoom.us/j/3473881918
PhD Proposal: Beyond Descriptive xAI: Cross-Domain Methods for Converting Interpretability into Model Improvement
Sai Yerramreddy
Talk
06.23.2026 12:00 to 13:30
PhD Defense: Learning Robot Policies from Intuitive Human Guidance
Amisha Bhaskar
IRB 4105 https://umd.zoom.us/j/6319739372?pwd=1aDsXO4mgX91LPQotgBGgDCCNBsvav.1&om...
PhD Defense: Learning Robot Policies from Intuitive Human Guidance
Amisha Bhaskar
06.01.2026 14:30 to 16:00
PhD Defense: Towards Principled AI Agents with Asymmetric and Decentralized Information
IRB-5105 https://umd.zoom.us/j/7269246363#success
PhD Defense: Towards Principled AI Agents with Asymmetric and Decentralized Information
06.02.2026 14:00 to 15:30
PhD Proposal: Beyond Descriptive xAI: Cross-Domain Methods for Converting Interpretability into Model Improvement
University of Maryland Institute for Health Computing - Meeting Room 4 https://umd.zoom.us/j/3473881918
PhD Proposal: Beyond Descriptive xAI: Cross-Domain Methods for Converting Interpretability into Model Improvement
06.04.2026 10:00 to 11:00
From Preparing Quantum Spin Lakes to Measuring Chaos with Hamiltonian Learning: Quantum Simulation Beyond the Ground State
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/5871875361?omn=98612137949
From Preparing Quantum Spin Lakes to Measuring Chaos with Hamiltonian Learning: Quantum Simulation Beyond the Ground State
06.05.2026 12:00 to 13:00
A complexity phase transition at the EPR Hamiltonian
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/3010642404?pwd=5Bwsxvwne0QwXBs5ra9d4wr4J56OTi.1&om...
A complexity phase transition at the EPR Hamiltonian
06.12.2026 09:30 to 11:30
PhD Defense: Quantum Cryptography in the Presence of Side Information
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/4408046564?pwd=jxxFPSb0TCV3qYiZv6WbLncFIvVyPX.1 Password: 628758
PhD Defense: Quantum Cryptography in the Presence of Side Information
06.12.2026 14:00 to 15:00
A whole new woRLD of Fisher information
ATL 3100A and Virtual Via Zoom: To be announced
A whole new woRLD of Fisher information
06.23.2026 12:00 to 13:30
PhD Defense: Learning Robot Policies from Intuitive Human Guidance
IRB 4105 https://umd.zoom.us/j/6319739372?pwd=1aDsXO4mgX91LPQotgBGgDCCNBsvav.1&om...
PhD Defense: Learning Robot Policies from Intuitive Human Guidance