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His research focuses on developing algorithms that produce consistent results, adapt to changing data and account for human behavior in machine learning systems.
A machine learning algorithm can reach different conclusions when the data it receives changes, even when samples come from the same population. Understanding when to trust those results is central to the work of University...read more
Uzi Vishkin's invention of building parallel processing into a computer's CPU is present in billions of devices worldwide.
For the United States' 250th anniversary, the University of Maryland's Terp magazine set out to highlight " 25 Terp Innovations That Changed History ." In a recent follow up story featuring inventions that they missed,...read more
Annual list also places UMD No. 1 in the mid-Atlantic and No. 3 among public institutions.
The University of Maryland has risen to an all-time high of No. 4 in the nation for undergraduate entrepreneurship education, according to 2027 rankings released Tuesday by The Princeton Review and Entrepreneur magazine. UMD also...read more
Information Science major Francis Ametewee developed a campus navigation platform with guidance from Computing Catalyst’s TechStart program.
When Francis Ametewee arrived at the University of Maryland, finding his classrooms often meant deciphering building abbreviations before he knew where to go. After repeated searches and requests for directions, he had an idea: build...read more
UMD computer science faculty members Jordan Boyd-Graber and Rachel Rudinger, along with doctoral student Neha Srikanth, were recognized for research examining how people and AI systems respond to questions.
University of Maryland Department of Computer Science Professor Jordan Boyd-Graber and Associate Professor Rachel Rudinger , along with doctoral student Neha Srikanth , received a Best Paper Award at the 2026 Conference on Empirical Methods...read more
UMD researchers developed an AI exosuit that intercepts human errors mid-motion to accelerate physical skill learning.
A home cook finishes chopping vegetables, pauses for a moment, and reaches for the soy sauce when the recipe called for salt. Small slips like this happen in the brief gap between one step and...read more
UMD alum Utkarsh Tyagi (M.S. ’25) draws on his research experience at Maryland to develop SteerDuplex, a model designed to make voice-based AI systems more responsive to spoken instructions.
Asking someone to slow down, speak louder or wait until a sentence is finished is a routine part of conversation. But when the listener is an artificial intelligence voice assistant, those simple requests may not...read more
With a new $150,000 grant, an interdisciplinary team that includes Jun Nishida and Nirupam Roy will develop wearable technology to give Deaf and hard-of-hearing audiences new ways to experience music.
A flute that feels like raindrops fluttering across the skin. A violin that registers as a looping sensation. Drums that arrive as an insistent, rhythmic pulse. That’s how Jill Bradbury, a Deaf scholar and director...read more
Upcoming Events
Talk
11.13.2026 11:00 to 12:00
Scalable and statistically rigorous algorithms for phylogenetic network reconstruction in the genome era
Erin Molloy
IRB 2107 or Zoom https://umd.zoom.us/j/91267609044?pwd=g4uLkhpH4T8d2Gln0HXg6s4qaxzpbj.1
Scalable and statistically rigorous algorithms for phylogenetic network reconstruction in the genome era
Erin Molloy
Event
Event
Event
Talk
11.16.2026 13:00 to 14:30
PhD Proposal: Quantum Error Suppression for Dynamically Corrected Storage, Logic, and Algorithms
Ethan Hickman
https://umd.zoom.us/j/7031888774
PhD Proposal: Quantum Error Suppression for Dynamically Corrected Storage, Logic, and Algorithms
Ethan Hickman
Talk
11.16.2026 15:00 to 16:30
PhD Proposal: Motion from Video, Judgement from Agents: Robot Manipulation with Minimal Action-Labeled Data
Seungjae Lee
IRB-5105 https://umd.zoom.us/j/7528443694?omn=93255705105
PhD Proposal: Motion from Video, Judgement from Agents: Robot Manipulation with Minimal Action-Labeled Data
Seungjae Lee
Talk
11.19.2026 11:00 to 12:00
Groundwork for Open Speech Foundation Models: Data, Recipes, and Task-Specific Models
Shinji Watanabe
Carnegie Mellon University
IRB 4105
Groundwork for Open Speech Foundation Models: Data, Recipes, and Task-Specific Models
Shinji Watanabe
Carnegie Mellon University
Event
Talk
12.02.2026 14:30 to 16:00
PhD Defense: Designing intelligent systems for computational imaging and sensing
Matthew Chan
IRB-4105 https://umd.zoom.us/j/2148418519
PhD Defense: Designing intelligent systems for computational imaging and sensing
Matthew Chan
Event
11.12.2026 10:30 to 11:30
Discovering state-of-the-art quantum circuits with large language models
Virtual Via Zoom: https://umd.zoom.us/j/9893676372?pwd=VVNOd2xNZ3FCblk4aFdTMjkzTllvQT09&om... Meeting ID: 989 367 6372 Passcode: abc123
Discovering state-of-the-art quantum circuits with large language models
11.13.2026 11:00 to 12:00
Scalable and statistically rigorous algorithms for phylogenetic network reconstruction in the genome era
IRB 2107 or Zoom https://umd.zoom.us/j/91267609044?pwd=g4uLkhpH4T8d2Gln0HXg6s4qaxzpbj.1
Scalable and statistically rigorous algorithms for phylogenetic network reconstruction in the genome era
11.16.2026 14:00 to 15:00
Query-Optimal and Gate-Efficient Time-Dependent Hamiltonian Simulation
ATL 3100A and Virtual Via Zoom: https://umd.zoom.us/j/93081761228?pwd=fhsBUzsdeVOgaNspZfSrZXBXG7oQGu.1
Query-Optimal and Gate-Efficient Time-Dependent Hamiltonian Simulation
11.17.2026 14:00 to 15:00
Deriving normative constraints from precedent decisions: A hierarchical model
CSI 2120 or https://umd.zoom.us/j/93960331973?pwd=tVQ7gtFucJEkSYna38zePzkPpHm3J7.1
Deriving normative constraints from precedent decisions: A hierarchical model