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Recent News
Being conferred Fellow status is the highest grade of IEEE membership, and one that is recognized by the technical community as a prestigious honor and an important career achievement.
Rance Cleaveland , a professor of computer science with an appointment in the University of Maryland Institute for Advanced Computer Studies , was just named a Fellow of the Institute of Electronic and Electrical Engineers...read more
The three-year project seeks to develop artificial intelligence-based multimodal sensor fusion algorithms that are fully self-supervised and do not require training data
A University of Maryland expert in computational imaging has received funding from the Air Force Office of Scientific Research (AFOSR) to develop novel algorithms for fusing multimodal sensing data. Chris Metzler , an assistant professor...read more
From creating a virtual avatar that performs human-like gestures, to detecting internet censorship, to exploring content moderation in online communities, undergraduate women and non-binary individuals focused on computer science are collaborating this week with leading...read more
Alumnus Sujal Patel makes his mark as a technology entrepreneur
Sujal Patel (B.S. ’96, computer science) still remembers the very first computer in his life. That was a long time ago, and technically it wasn’t even his , but for Patel, that computer changed everything...read more
VisiSonics , a University of Maryland startup focused on 3D spatial audio technologies, has partnered with a leading aviation communications company to provide military pilots with an advanced audio system designed to improve their performance...read more
AlphaLabs, Athenus, Mindgrasp and Shellter will be the first cohort of companies to join the student startup accelerator.
The Mokhtarzada Hatchery announced today the first four teams that will join the student startup accelerator. The 2021-22 teams—selected for their ideas that target interesting problems with focus and passion—are AlphaLabs, Athenus, Mindgrasp and Shellter...read more
In addition to Varshney, the XRAC steering committee includes senior-level executives from tech giants Facebook, Microsoft, Accenture and Google.
A leading expert in immersive technologies from the University of Maryland has been selected to serve on a steering committee for a national advisory council dedicated to advancing policy and practical considerations involving virtual, augmented...read more
Two Ph.D. graduates from the Department of Computer Science have just been honored for the excellence of their research and scholarship. Nitin J. Sanket (left in photo) and Soheil Behnezhad (right) are this year’s recipients...read more
Upcoming Events
Talk
12.07.2021 10:00 to 12:00
PhD Defense: Object Detection and Instance Segmentation for Real-world Applications
Shiyi Lan
IRB 4105
PhD Defense: Object Detection and Instance Segmentation for Real-world Applications
Shiyi Lan
Talk
12.09.2021 12:00 to 14:00
PhD Proposal: Characterizing and Improving Mental Models of Secure Communication Tools
Omer Akgul
IRB 5237
PhD Proposal: Characterizing and Improving Mental Models of Secure Communication Tools
Omer Akgul
Talk
12.10.2021 11:00 to 12:00
Advancing Global Food Security and SDGs with Machine Learning and Earth Observations
Hannah Kerner
IRB 0318
Advancing Global Food Security and SDGs with Machine Learning and Earth Observations
Hannah Kerner
Talk
12.10.2021 12:00 to 14:00
PhD Proposal: Supporting Independent Learning and Rapid Experimentation with Data Science Recommendation Engine
Deepthi Raghunandan
Remote
PhD Proposal: Supporting Independent Learning and Rapid Experimentation with Data Science Recommendation Engine
Deepthi Raghunandan
Talk
12.10.2021 13:00 to 15:00
PhD Proposal: Automatic Optimization of Irregular Memory Accesses for the PGAS Programming Model
Thomas Rolinger
IRB 5165
PhD Proposal: Automatic Optimization of Irregular Memory Accesses for the PGAS Programming Model
Thomas Rolinger
Event
Talk
12.13.2021 13:00 to 15:00
PhD Proposal: Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation
Weijia Xu
IRB 4105
PhD Proposal: Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation
Weijia Xu
Talk
12.14.2021 10:00 to 12:00
PhD Proposal: Resilience and Efficiency of Consensus in Arbitrary Network Conditions
Erica Blum
IRB 5105
PhD Proposal: Resilience and Efficiency of Consensus in Arbitrary Network Conditions
Erica Blum
Talk
12.14.2021 10:00 to 12:00
PhD Proposal: Hyperdimensional Binary Vector Models for Representation, Integration and Learning of Arbitrary Data
Peter Sutor
IRB 4105
PhD Proposal: Hyperdimensional Binary Vector Models for Representation, Integration and Learning of Arbitrary Data
Peter Sutor
Talk
12.15.2021 10:00 to 12:00
PhD Proposal: Reinforcement Learning under Unseen/Adversarial Inputs: Learning to Adapt and Learning to Robustify
Yanchao Sun
IRB 5105
PhD Proposal: Reinforcement Learning under Unseen/Adversarial Inputs: Learning to Adapt and Learning to Robustify
Yanchao Sun
12.07.2021 10:00 to 12:00
PhD Defense: Object Detection and Instance Segmentation for Real-world Applications
4105
PhD Defense: Object Detection and Instance Segmentation for Real-world Applications
12.09.2021 12:00 to 14:00
PhD Proposal: Characterizing and Improving Mental Models of Secure Communication Tools
5237
PhD Proposal: Characterizing and Improving Mental Models of Secure Communication Tools
12.10.2021 11:00 to 12:00
Advancing Global Food Security and SDGs with Machine Learning and Earth Observations
IRB 0318
Advancing Global Food Security and SDGs with Machine Learning and Earth Observations
12.10.2021 12:00 to 12:45
Shadow process tomography of quantum channels
ATL 2324 and Virtual Via Zoom: https://umd.zoom.us/j/99484119207
Shadow process tomography of quantum channels
12.10.2021 12:00 to 14:00
PhD Proposal: Supporting Independent Learning and Rapid Experimentation with Data Science Recommendation Engine
Remote
PhD Proposal: Supporting Independent Learning and Rapid Experimentation with Data Science Recommendation Engine
12.10.2021 13:00 to 15:00
PhD Proposal: Automatic Optimization of Irregular Memory Accesses for the PGAS Programming Model
5165
PhD Proposal: Automatic Optimization of Irregular Memory Accesses for the PGAS Programming Model
12.13.2021 13:00 to 15:00
PhD Proposal: Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation
4105
PhD Proposal: Stronger Inductive Biases for Sample-Efficient and Controllable Neural Machine Translation