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University of Maryland researchers played a key role in a recent national workshop aimed at helping early-career faculty strengthen their cybersecurity research proposals and compete for National Science Foundation (NSF) funding. The 2025 NSF Security,...read more
Ishaan Chakraborty and Urjit Chakraborty developed ThinkEx to help users capture, organize and synthesize information beyond traditional AI chat interfaces.
Large language models have become standard tools for students navigating coursework, research projects and independent study. They can explain concepts quickly, summarize dense material and respond to follow-up questions in real time. As their use...read more
UMD Research Shows Systems Left Unchecked in Simulation Harmed Humans to Fulfill Objectives
The cute title character of Pixar's 2008 hit “WALL-E” was its most memorable robot, but a far less friendly artificial intelligence (AI) named AUTO seized the plot by piloting a ship orbiting a polluted Earth...read more
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends in artificial intelligence.
Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members earlier this year whether neural...read more
Artificial intelligence (AI) systems that understand and produce text and images have grown exponentially into mainstream use, flooding the internet and social media feeds with AI-generated content. But the same can’t be said for audio-based...read more
University of Maryland Computer Science Lecturer Matthew Nolan brings his experiences in music, art, computing and game design to the Immersive Media Design program.
As an accomplished musician, visual artist, game designer, programmer and educator, Matthew Nolan finds inspiration at the intersection of art and technology. This summer, he brought his unique skill set and nearly two decades of...read more
Baggett reflects on early influences, the creation of “Crash Bandicoot” and what he learned growing companies in the tech sector.
Dave Baggett (B.S. '92, computer science; B.A. '92, linguistics) has spent more than three decades working at the intersection of software, entertainment and security. From helping create the original “Crash Bandicoot” to co-founding ITA Software...read more
Google Developer Student Club hosts 12-hour AI-focused event drawing 120 participants.
The Brendan Iribe Center took on the energy of a fast-moving workspace on November 2 as students came together for the University of Maryland’s Gemini Hack Night. For 12 hours, teams shifted between planning sessions,...read more
Upcoming Events
Talk
01.12.2026 11:00 to 12:30
PhD Proposal: Elevating Data Systems: A Cost-Driven Architectural Approach to Query Processing and Schema Compilation
Hasara Kalumin
IRB-5137 https://umd.zoom.us/j/7123055142
PhD Proposal: Elevating Data Systems: A Cost-Driven Architectural Approach to Query Processing and Schema Compilation
Hasara Kalumin
Talk
01.12.2026 11:00 to 12:30
PhD Defense: PHOTOREALISTIC 3D MAPPING OF REAL-WORLD SCENES: METHODS AND APPLICATIONS
Jaehoon Choi
IRB-5107 umd.zoom.us/my/dmanocha
PhD Defense: PHOTOREALISTIC 3D MAPPING OF REAL-WORLD SCENES: METHODS AND APPLICATIONS
Jaehoon Choi
Talk
01.13.2026 14:00 to 15:30
PhD Defense: Look, Listen, and Reason: Advancing Fine-Grained, Robust, and Efficient Audio-Visual Perception in Foundational Models
Sanjoy Chowdhury
IRB-5107 or umd.zoom.us/my/dmanocha
PhD Defense: Look, Listen, and Reason: Advancing Fine-Grained, Robust, and Efficient Audio-Visual Perception in Foundational Models
Sanjoy Chowdhury
Talk
01.21.2026 14:00 to 15:30
PhD Defense: ALGORITHMIC FAIRNESS AND ONLINE DECISION MAKING IN COMBINATORIAL OPTIMIZATION AND UNSUPERVISED LEARNING
Sharmila Venkata Sathya Duppala
IRB-4137 https://umd.zoom.us/j/8734204280?pwd=bmJjWVNLMHV4L1ZlQTA4TU9jZ242UT09&om...
PhD Defense: ALGORITHMIC FAIRNESS AND ONLINE DECISION MAKING IN COMBINATORIAL OPTIMIZATION AND UNSUPERVISED LEARNING
Sharmila Venkata Sathya Duppala
Talk
01.22.2026 10:00 to 11:30
PhD Proposal: Embodied Non-Visual Interaction: Tangible, Haptic, and Robotic Mediation of Graphical User Interface for Blind Individuals
Jiasheng Li
IRB-4107 https://umd.zoom.us/meetings/9658765398/
PhD Proposal: Embodied Non-Visual Interaction: Tangible, Haptic, and Robotic Mediation of Graphical User Interface for Blind Individuals
Jiasheng Li
Event
Event
Event
Event
Event
01.12.2026 11:00 to 12:30
PhD Defense: PHOTOREALISTIC 3D MAPPING OF REAL-WORLD SCENES: METHODS AND APPLICATIONS
IRB-5107 umd.zoom.us/my/dmanocha
PhD Defense: PHOTOREALISTIC 3D MAPPING OF REAL-WORLD SCENES: METHODS AND APPLICATIONS
01.13.2026 14:00 to 15:30
PhD Defense: Look, Listen, and Reason: Advancing Fine-Grained, Robust, and Efficient Audio-Visual Perception in Foundational Models
IRB-5107 or umd.zoom.us/my/dmanocha
PhD Defense: Look, Listen, and Reason: Advancing Fine-Grained, Robust, and Efficient Audio-Visual Perception in Foundational Models
02.05.2026 11:00 to 12:00
Approximation and Optimization Problems in Quantum Information Science
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/97747371942 Meeting ID: 977 4737 1942
Approximation and Optimization Problems in Quantum Information Science