News & Announcements
Raschid Receives NSF Funding to Improve Supply Chain Knowledge Networks for COVID-19 Medical Supplies
May 21, 2020 - The funding supports efforts to improve supply chain networks used for critically needed medical equipment during the COVID-19 crisis.
Resnik Receives NSF Funding to Analyze Text Responses in COVID-19 Survey Data
May 13, 2020 - He will develop advanced topic modeling methods that can quickly and effectively analyze text responses in COVID-19 survey data.
UMD Researchers Develop Web Application to Track Progression of COVID-19
May 09, 2020 - The web application is being developed by a team led by Distinguished University Professor of Computer Science Hanan Samet.
CfAR Graduate Student Receives Prestigious Department of Defense Fellowship
May 05, 2020 - The fellowship will support doctoral student Alex Hanson’s research in advancing artificial neural networks.
QuICS Fellow Explores the Impossibility of Efficient Quantum Coin Flipping
May 01, 2020 - QuICS Fellow Carl Miller uses math and quantum physics to explore “fairness” in coin flipping.
UMIACS Faculty Adapting to Online-Only Research Activities During COVID-19 Crisis
Apr 28, 2020 - During the COVID-19 crisis, UMIACS researchers are using online resources to advance research in robotics, computational biology, cybersecurity, and more.
Dickerson Wins Graduate Faculty Mentor of the Year Award
Apr 27, 2020 - He is one of 10 UMD faculty chosen to receive this honor in 2020.
UMD Part of $10M NSF Expeditions in Computing Award to Develop Strategies to Thwart Disease Outbreaks
Apr 23, 2020 - Aravind Srinivasan, Rita Colwell and Abhinav Bhatele are deploying the latest advances in artificial intelligence, machine learning, supercomputing and social science data against epidemic outbreaks.
UMIACS Faculty Secure Funding for Projects Combining AI and Medicine
Apr 22, 2020 - The funding supports joint projects between faculty from the University of Maryland, College Park, and medical experts at the University of Maryland, Baltimore.
Shrivastava Receives $2.5M from DARPA to Teach AI Systems Adaption
Apr 21, 2020 - The goal of Shrivastava’s research is to teach AI systems how to recognize dynamic environments and react appropriately, without needing to be retrained on a large data set.