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Recent News
Five panels introduced the department’s 179 incoming graduate students to research in theory, artificial intelligence, sensing, robotics, systems and cybersecurity.
The University of Maryland’s Department of Computer Science organized its annual Computer and Computational Sciences Research Day on August 27, giving incoming graduate students an overview of research across computing fields and opportunities to connect...read more
Research co-authored by Gabe Kaptchuk found that combining ad targeting with campaign performance data can expose private user information despite technical safeguards.
Tech companies and browser developers have spent years pursuing a seemingly ideal solution to one of the web’s thorniest problems: using advanced cryptography to make online advertising useful without sacrificing user privacy. New research co-authored...read more
Computing Catalyst’s TechStart program gave University of Maryland students a week to explore coding, design and technology through community-focused projects.
A tool to help students make connections on campus. A redesigned University of Maryland map. A way to find cooler spaces during hot summer days. Those were among the projects UMD students presented as the...read more
A UMD-led team, including Chris Metzler, Abhinav Bhatele and Haizhao Yang, is developing an AI framework to produce faster, more detailed long-range water forecasts.
Predicting whether next season will bring a devastating flood or a crippling drought often comes down to a race against the clock. For climate scientists, forecasting the future movement of water requires some of the...read more
UMD alum Eileen Buckholtz spent three decades working with emerging technology at the NSA. Decades later, she is documenting the computing careers of women whose classified work kept them largely out of history.
For much of the career of alum Eileen Buckholtz (M.S. ’73, computer science), the details of her work at the National Security Agency remained private. She could discuss projects with colleagues, but not with her...read more
Naomi Feldman, Rachel Rudinger and Sarah Wiegreffe will examine how cognitive biases influence language model decisions and test methods for reducing them.
A team of University of Maryland Department of Computer Science researchers has received seed funding for an interdisciplinary effort that combines cognitive psychology and computer science to investigate how artificial intelligence makes decisions—and why those...read more
She was selected for the 2025-26 academic year for her work on advising resources, student communication and departmental initiatives.
University of Maryland Department of Computer Science Academic Advisor Noriko Maitland has received the Provost’s Academic Advisor of the Year Award for the 2025-26 academic year. Each year, a committee of academic advisors selects three...read more
The weeklong research school brings together students and faculty from UMD, Cornell and the Max Planck Institutes to explore computer science research and graduate study.
The Cornell, Maryland, Max Planck Pre-doctoral Research School in Computer Science (CMMRS) marked its 10th anniversary this summer, continuing a collaboration that introduces undergraduate and master’s students to computer science research, graduate study and research...read more
Upcoming Events
Talk
08.31.2026 15:00 to 16:30
PhD Proposal: Robot Learning from Physical Interactions: Perceiving, Acting and Learning from Contact Force
Botao He
IRB-4107 https://umd.zoom.us/j/5334794974?pwd=cHU5MW01ZjhxcTNkME5BOUxoSklBZz09
PhD Proposal: Robot Learning from Physical Interactions: Perceiving, Acting and Learning from Contact Force
Botao He
Talk
09.02.2026 12:00 to 14:00
PhD Proposal: Response Behavior in Large Language Models: Data Selection, Gradient Analysis, and Reasoning Evaluation
Ming Li
ttps://umd.zoom.us/j/2762491074?omn=91264661808
PhD Proposal: Response Behavior in Large Language Models: Data Selection, Gradient Analysis, and Reasoning Evaluation
Ming Li
Talk
Talk
09.04.2026 11:00 to 12:30
PhD Proposal: Towards Efficient LLM Post-training and Reasoning
Yanjun Fu
Friday, September 4 11:00:00 AM EST IRB-4109 https://umd.zoom.us/my/sanghamd?pwd=OEhISW9hZTV6M0JDRG16YTIzN2JJdz09
PhD Proposal: Towards Efficient LLM Post-training and Reasoning
Yanjun Fu
Talk
09.04.2026 11:00 to 12:30
PhD Proposal: Towards Efficient LLM Post-training and Reasoning
Yanjun Fu
IRB-4109 https://umd.zoom.us/my/sanghamd?pwd=OEhISW9hZTV6M0JDRG16YTIzN2JJdz09
PhD Proposal: Towards Efficient LLM Post-training and Reasoning
Yanjun Fu
Talk
09.04.2026 11:00 to 12:00
A New Balancing Act: Reflections Computational Linguistics and AI
Philip Resnik
IRB 2107 or Zoom https://umd.zoom.us/j/91267609044?pwd=g4uLkhpH4T8d2Gln0HXg6s4qaxzpbj.1
A New Balancing Act: Reflections Computational Linguistics and AI
Philip Resnik
Event
Talk
09.04.2026 14:00 to 15:30
PhD Proposal: Human-Centered NLP Under Verification Barriers: Designing for Appropriate Reliance
Calvin Bao
IRB-4109 https://umd.zoom.us/j/4921309992?pwd=dkFNU29XQ2FPcGowazNKcDl1U3VwZz09&om...
PhD Proposal: Human-Centered NLP Under Verification Barriers: Designing for Appropriate Reliance
Calvin Bao
Talk
09.09.2026 15:30 to 17:00
PhD Proposal: Approximate Nearest Neighbor Search at Billion Scale and Beyond
Tobias Janssen
IRB-5105
PhD Proposal: Approximate Nearest Neighbor Search at Billion Scale and Beyond
Tobias Janssen
Talk
09.10.2026 11:00 to 12:30
PhD Proposal: Trustworthy and Efficient AI Agents
Monte Hoover
IRB-5165 https://umd.zoom.us/s/94156175987?pwd=eHaQBci14km4O06ZF9g5KivovyfIrq.1
PhD Proposal: Trustworthy and Efficient AI Agents
Monte Hoover
09.02.2026 12:00 to 14:00
PhD Proposal: Response Behavior in Large Language Models: Data Selection, Gradient Analysis, and Reasoning Evaluation
ttps://umd.zoom.us/j/2762491074?omn=91264661808
PhD Proposal: Response Behavior in Large Language Models: Data Selection, Gradient Analysis, and Reasoning Evaluation
09.04.2026 11:00 to 12:30
PhD Proposal: Towards Efficient LLM Post-training and Reasoning
IRB-4109 https://umd.zoom.us/my/sanghamd?pwd=OEhISW9hZTV6M0JDRG16YTIzN2JJdz09
PhD Proposal: Towards Efficient LLM Post-training and Reasoning
09.04.2026 11:00 to 12:30
PhD Proposal: Towards Efficient LLM Post-training and Reasoning
Friday, September 4 11:00:00 AM EST IRB-4109 https://umd.zoom.us/my/sanghamd?pwd=OEhISW9hZTV6M0JDRG16YTIzN2JJdz09
PhD Proposal: Towards Efficient LLM Post-training and Reasoning
09.04.2026 11:00 to 12:00
A New Balancing Act: Reflections Computational Linguistics and AI
IRB 2107 or Zoom https://umd.zoom.us/j/91267609044?pwd=g4uLkhpH4T8d2Gln0HXg6s4qaxzpbj.1
A New Balancing Act: Reflections Computational Linguistics and AI
09.08.2026 14:00 to 15:00
Bias and Worldview in LLMs
https://umd.zoom.us/j/93960331973?pwd=tVQ7gtFucJEkSYna38zePzkPpHm3J7.1
Bias and Worldview in LLMs
09.09.2026 11:00 to 12:00
To be announced
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/94359815285 Meeting ID: 943 5981 5285
To be announced
09.09.2026 15:30 to 17:00
PhD Proposal: Approximate Nearest Neighbor Search at Billion Scale and Beyond
IRB-5105
PhD Proposal: Approximate Nearest Neighbor Search at Billion Scale and Beyond