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She discusses her path into machine learning, current research in AI agents and the importance of adapting in a rapidly evolving field.
University of Maryland Associate Professor of Computer Science Furong Huang focuses her research on developing robust and trustworthy artificial intelligence systems, with work spanning machine learning, reinforcement learning and robotics. Her research aims to ensure...read more
More than 1,000 registered participants gathered at Reckord Armory for the annual hackathon, where students built projects across software and hardware tracks.
Rows of laptops, cables and sleeping bags filled Reckord Armory as students settled in for Bitcamp ’s 12th anniversary at the University of Maryland. From April 10-12, high school students and undergraduates spent 36 hours...read more
The annual event connects student founders with experienced entrepreneurs for feedback on early-stage startup ideas.
Student entrepreneurs at the University of Maryland presented business ideas to a panel of judges during the annual Pitch Perfect event, organized by the Department of Computer Science’s Mokhtarzada Hatchery program and Startup Shell ...read more
From human health to environmental sustainability, microscopic communities play a critical role in shaping the world around us. But understanding these complex ecosystems remains a major scientific challenge. At the University of Maryland, bioinformatics engineer...read more
The ranking highlights strength in artificial intelligence, systems and theory, all ranked in the top 20.
The University of Maryland’s Department of Computer Science ranked No. 12 overall in the 2027 Best Graduate Schools list released by U.S. News & World Report , marking a four-spot increase from the previous year...read more
The research, which received a Best Paper Honorable Mention at ACM CHI 2026, explores an exoskeleton-based system that examines how wearable technologies can guide users earlier in the learning process.
From learning to play an instrument to performing a surgical procedure, mastering physical skills often depends on repetition and correcting mistakes over time. Researchers in human-computer interaction are examining whether technology can reshape that process...read more
Researchers at the University of Maryland are advancing the frontiers of robotics with a new initiative designed to enable humanoid systems to perform complex, real-world household tasks with greater autonomy and reliability. Built on NVIDIA...read more
The Brendan Iribe Center for Computer Science and Engineering will host hands-on demos, student showcases and workshops highlighting computing innovation at Maryland Day.
Explore innovation at the University of Maryland’s Department of Computer Science during Maryland Day, with hands-on demos, student showcases and interactive workshops at the Brendan Iribe Center. Meet students, faculty and innovators shaping the future...read more
Upcoming Events
Talk
04.21.2026 11:00 to 12:00
AI Alignment through Participation and Evaluation: Promises and Pitfalls
Michael Feffer
IRB 4105 or https://umd.zoom.us/j/93666933047?pwd=gWgqOgGbBP6laZclyURdDG2mNdArBt.1
AI Alignment through Participation and Evaluation: Promises and Pitfalls
Michael Feffer
Talk
04.21.2026 12:30 to 13:00
Immersive Visual Interface Advances Through Viewpoint Generalization
Voicu Popescu
Purdue University
IRB-4105
Immersive Visual Interface Advances Through Viewpoint Generalization
Voicu Popescu
Purdue University
Talk
04.21.2026 15:00 to 16:30
MS Defense: Well-Separation Heuristics for the Metric Traveling Salesman Problem
Addison Hanrattie
IRB-5165 https://umd.zoom.us/j/8277636096
MS Defense: Well-Separation Heuristics for the Metric Traveling Salesman Problem
Addison Hanrattie
Talk
04.23.2026 12:00 to 13:30
PhD Proposal: Multi-Modal Fault Tolerant Learning
Isabelle Rathbun
IRB-5137 https://umd.zoom.us/j/6018401674?pwd=S2ZSOGpvRzhTUWsrUFg4cUFRQmUvdz09&om...
PhD Proposal: Multi-Modal Fault Tolerant Learning
Isabelle Rathbun
Event
Event
Event
Talk
04.27.2026 11:00 to 12:00
Cognitive science for, and using, large language models
Tal Linzen
IRB 4105 or https://umd.zoom.us/j/93666933047?pwd=gWgqOgGbBP6laZclyURdDG2mNdArBt.1
Cognitive science for, and using, large language models
Tal Linzen
Talk
04.29.2026 13:30 to 14:30
Trust and the future of mathematics, software, and science
Patrick Shafto
IRB 4105 or https://umd.zoom.us/j/93666933047?pwd=gWgqOgGbBP6laZclyURdDG2mNdArBt.1
Trust and the future of mathematics, software, and science
Patrick Shafto
Talk
04.29.2026 14:00 to 16:30
PhD Proposal: Practical fault tolerance with quantum error-correcting codes: logical protocols, decoders, and code design
Shi Jie Samuel Tan
ATL-3100A or https://umd.zoom.us/j/3144621979?pwd=Y2lWYWhJWm5rU2pjdWl3QnRTSmRLUT09&om...
PhD Proposal: Practical fault tolerance with quantum error-correcting codes: logical protocols, decoders, and code design
Shi Jie Samuel Tan
04.21.2026 11:00 to 12:00
AI Alignment through Participation and Evaluation: Promises and Pitfalls
IRB 4105 or https://umd.zoom.us/j/93666933047?pwd=gWgqOgGbBP6laZclyURdDG2mNdArBt.1
AI Alignment through Participation and Evaluation: Promises and Pitfalls
04.21.2026 12:30 to 13:00
Immersive Visual Interface Advances Through Viewpoint Generalization
IRB-4105
Immersive Visual Interface Advances Through Viewpoint Generalization
04.21.2026 15:00 to 16:30
MS Defense: Well-Separation Heuristics for the Metric Traveling Salesman Problem
IRB-5165 https://umd.zoom.us/j/8277636096
MS Defense: Well-Separation Heuristics for the Metric Traveling Salesman Problem
04.22.2026 11:00 to 12:00
BizChat: Scaffolding AI-Powered Business Planning for Small Business Owners Across Digital Skill Levels
5105
BizChat: Scaffolding AI-Powered Business Planning for Small Business Owners Across Digital Skill Levels
04.23.2026 11:30 to 12:30
Quantum Metrology Enhanced by Effective Time Reversal
PSC 2136 and Virtual Via Zoom: https://umd.zoom.us/j/99758309213
Quantum Metrology Enhanced by Effective Time Reversal
04.23.2026 12:00 to 13:30
PhD Proposal: Multi-Modal Fault Tolerant Learning
IRB-5137 https://umd.zoom.us/j/6018401674?pwd=S2ZSOGpvRzhTUWsrUFg4cUFRQmUvdz09&om...
PhD Proposal: Multi-Modal Fault Tolerant Learning
04.27.2026 11:00 to 12:00
Cognitive science for, and using, large language models
IRB 4105 or https://umd.zoom.us/j/93666933047?pwd=gWgqOgGbBP6laZclyURdDG2mNdArBt.1
Cognitive science for, and using, large language models