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Recent News
The University Career Center survey shows strong employment outcomes, higher starting salaries and continued graduate school enrollment for the class of 2025.
The University of Maryland’s Department of Computer Science reported a 95% job placement rate for its class of 2025, according to a survey conducted by the University Career Center . The annual graduation survey, which...read more
Every year, the College of Computer, Mathematical, and Natural Sciences (CMNS) Alumni Network offers awards to help undergraduates defray the costs of conducting research, attending conferences or interning over the summer. Read below how this...read more
She discusses her path into computing, her work on privacy and data de-identification, and why communication matters in human-centered security research.
University of Maryland Professor of Computer Science Michelle Mazurek studies how people navigate security and privacy decisions in everyday digital systems. Affiliated with the University of Maryland Institute for Advanced Computer Studies (UMIACS) and the...read more
UMD Ph.D. student Ryan Synk is developing a machine-learning system designed to help researchers search a growing federal archive of raw genetic information.
A single biological sample can produce millions of fragments of genetic information. Multiply that output by years of experiments involving humans, animals, plants, viruses and environmental samples, and researchers face a problem that is as...read more
An AI model may be designed to behave safely, but that doesn’t mean the system delivering it is secure, according to new research from the University of Maryland. The study —currently under review for presentation...read more
The University of Maryland computer science alum was recognized for research on energy-efficient sensing systems that use sound, radio and light.
University of Maryland Department of Computer Science alum Nakul Garg (Ph.D. '25, computer science) received the 2026 Association for Computing Machinery SIGMOBILE Dissertation Award for developing sensing technologies that operate within limited power, size and...read more
Computer science and mathematics can seem abstract in the classroom. But at the University of Maryland this summer, 27 undergraduates are applying those concepts to problems ranging from reconstructing evolutionary trees to probing the limits...read more
Stewart, a Department of Computer Science faculty member from 1974 to 2008, worked in numerical linear algebra and helped develop LINPACK, a software package used in scientific and engineering computation.
G.W. “Pete” Stewart, a former faculty member in the University of Maryland Department of Computer Science whose work focused on numerical linear algebra and mathematical software, passed away on June 9, 2026. Stewart joined UMD...read more
Upcoming Events
Talk
07.23.2026 12:30 to 13:30
PhD Defense: Selecting, Generating, and Targeting: Gradient-Based Pretraining Data Curation at Scale
Hong-Min Chu
IRB-4109 https://umd.zoom.us/j/9158660494
PhD Defense: Selecting, Generating, and Targeting: Gradient-Based Pretraining Data Curation at Scale
Hong-Min Chu
Talk
07.23.2026 12:30 to 14:00
PhD Proposal: Selecting, Generating, and Targeting: Gradient-Based Pretraining Data Curation at Scale
Hong-Min Chu
IRB-4109 https://umd.zoom.us/j/9158660494
PhD Proposal: Selecting, Generating, and Targeting: Gradient-Based Pretraining Data Curation at Scale
Hong-Min Chu
Talk
07.24.2026 11:30 to 13:00
PhD Defense: Measuring What Matters in Trustworthy AI: Certified Robustness to Agentic Safety
Shoumik Saha
IRB-3137 https://umd.zoom.us/j/8566872628?pwd=VDJ1WWZCamE2Ym9ZcGh2RjZ6YVY1Zz09&om...
PhD Defense: Measuring What Matters in Trustworthy AI: Certified Robustness to Agentic Safety
Shoumik Saha
Talk
07.27.2026 12:30 to 14:00
PhD Proposal: Exploiting Formally Characterizable Properties of Large Language Models
Jie Li
IRB-3137 https://umd.zoom.us/j/96024552819?pwd=Z77D0rvy5OmBfUqnfK52pFvVaOi6r4.1
PhD Proposal: Exploiting Formally Characterizable Properties of Large Language Models
Jie Li
Talk
07.27.2026 12:30 to 14:00
PhD Proposal: Exploiting Formally Characterizable Properties of Large Language Models
Jie Li
IRB-3137 https://umd.zoom.us/j/96024552819?pwd=Z77D0rvy5OmBfUqnfK52pFvVaOi6r4.1
PhD Proposal: Exploiting Formally Characterizable Properties of Large Language Models
Jie Li
Talk
08.18.2026 10:00 to 11:30
PhD Defense: Intelligent Sensing in Hostile Environments
Matthew Ziemann
IRB-5105 https://umd.zoom.us/j/3237065901?omn=98058537599
PhD Defense: Intelligent Sensing in Hostile Environments
Matthew Ziemann
07.23.2026 12:30 to 13:30
PhD Defense: Selecting, Generating, and Targeting: Gradient-Based Pretraining Data Curation at Scale
IRB-4109 https://umd.zoom.us/j/9158660494
PhD Defense: Selecting, Generating, and Targeting: Gradient-Based Pretraining Data Curation at Scale
07.23.2026 12:30 to 14:00
PhD Proposal: Selecting, Generating, and Targeting: Gradient-Based Pretraining Data Curation at Scale
IRB-4109 https://umd.zoom.us/j/9158660494
PhD Proposal: Selecting, Generating, and Targeting: Gradient-Based Pretraining Data Curation at Scale
07.27.2026 13:00 to 14:00
On State Distinguishing Without Inverse Queries
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/3202954736?pwd=l66vevFdsmXkvyZWBKjx4i1MPwQKaw.1&om...
On State Distinguishing Without Inverse Queries
08.10.2026 14:00 to 15:00
Steepest Entropy Ascent, No-Signaling, and Non-Abelian Thermal States
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/5972416689
Steepest Entropy Ascent, No-Signaling, and Non-Abelian Thermal States
08.18.2026 10:00 to 11:30
PhD Defense: Intelligent Sensing in Hostile Environments
IRB-5105 https://umd.zoom.us/j/3237065901?omn=98058537599
PhD Defense: Intelligent Sensing in Hostile Environments