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CS Ph.D. student Yajie Zhou develops NetArena benchmark to evaluate safety and reliability of AI agents managing complex systems.
As artificial intelligence systems take on a growing role in automating technical tasks, researchers are examining how those tools can be safely applied to critical infrastructure. In areas such as network and system operations, even...read more
Lee explores how large-scale human data can help robots perform everyday household tasks.
As scientists work toward a future where robots can handle everyday household chores like washing dishes, folding laundry and ironing shirts, one of the field’s biggest hurdles is ensuring these machines can operate reliably in...read more
In CMSC 435, Associate Professor James Purtilo’s software engineering class is helping transform scanned ant specimens into lifelike 3D models.
For more than a decade, Evan Economo’s lab has been using micro-CT machines to scan insect specimens. The resulting X-ray images help researchers study the form and structure of insects—a subfield of entomology known as...read more
Inside the University of Maryland lab where researchers explore how signals such as sound and wireless waves can help machines better understand the physical world.
At the University of Maryland’s Department of Computer Science, the Intelligent Connected Secure Mobile Systems (iCoSMoS) Lab explores how machines can sense and interpret the environments around them. Led by Associate Professor of Computer Science...read more
More than 100 students from 24 schools tested coding and problem-solving skills at the Iribe Center.
The University of Maryland’s Department of Computer Science welcomed more than 100 high school students from across the Washington metropolitan area on Saturday, Feb. 28, 2026, for the 36th Annual High School Programming Contest at...read more
She discusses her path into computer science, research on large language models and advice for students entering the field.
Sarah Wiegreffe , an assistant professor of computer science at the University of Maryland, studies how deep learning systems for language operate and how their behavior can be interpreted. Her research focuses on interpretability in...read more
Students and employers met at the Adele H. Stamp Student Union for the Spring Career and Internship Fair to discuss internships, full-time roles and workforce expectations in the tech sector.
Students carrying resumes and portfolios moved between employer tables at the Adele H. Stamp Student Union on Monday, February 23, as the University of Maryland Department of Computer Science organized its Spring Career and Internship...read more
CS PhD student Kasra Torshizi, mentored by Associate Professor Pratap Tokekar, contributes to AI-driven advances in machine learning, computer vision, and autonomous systems research at UMD’s MATRIX Lab.
University of Maryland (UMD) MATRIX Lab researchers are proving that real-world challenges can be solved with cost-effective research that efficiently uses resources. MATRIX Lab graduate students Ryan Lowe (M.Eng. ’26, Robotics) and Jacob Safeer (M.S...read more
Upcoming Events
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03.12.2026 15:30 to 16:30
ML for Systems in the Real World: Challenges Beyond Training the Models
Jiayi Chen
CSI 1121
ML for Systems in the Real World: Challenges Beyond Training the Models
Jiayi Chen
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03.12.2026 15:30 to 16:30
ML for Systems in the Real World: Challenges Beyond Training the Models
CSI 1121
ML for Systems in the Real World: Challenges Beyond Training the Models
03.13.2026 12:00 to 13:00
Disclinations, Dislocations, and Emanant Flux at Dirac Criticality
ATL 2400
Disclinations, Dislocations, and Emanant Flux at Dirac Criticality
03.25.2026 11:00 to 12:00
Robust state certification from simple measurements
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/91497937249?pwd=3KQXRPWoCxzvrF3P5LMQgHxEUiayji.1 Meeting ID: 914 9793 7249 Passcode: 078601
Robust state certification from simple measurements
03.25.2026 14:00 to 15:30
PhD Proposal: Universality (or lack thereof) in Quantum Computation
ATL 3100A
PhD Proposal: Universality (or lack thereof) in Quantum Computation
03.26.2026 10:00 to 12:00
PhD Defense: Quantum Advantage via Physics-Inspired Methods in Optimization: Empirical and Theoretical Analysis
ATL 3100A
PhD Defense: Quantum Advantage via Physics-Inspired Methods in Optimization: Empirical and Theoretical Analysis