News & Announcements
UMD Receives ARL Funding Renewal Focused on AI and Autonomy
Jan 23, 2023 - Distinguished University Professor Dinesh Manocha is a co-PI on the project, leading efforts to develop ground and aerial autonomy related to human-machine teaming.
UMD Researchers Present 39 Papers at NeurIPS 2022
Jan 20, 2023 - Twenty-three papers were accepted to the main conference while 16 were presented at its affiliated workshops. Assistant Professor Furong Huang received an Outstanding Paper Award.
Frias-Martinez Joins UMD Effort Focused on Food and Nutrition Security
Jan 10, 2023 - The multidisciplinary effort is intended to reduce hunger, food waste, barriers to food access, and food deserts in the state of Maryland and Mid-Atlantic region.
CBCB Doctoral Student Takes Genomics Research to New Heights
Jan 09, 2023 - Jason Fan’s current goal is to design small data-structures—or indexes—to support fast sequence queries against tens of human scale genomes, or tens of thousands of bacterial genomes.
AI and Computational Health Expert Heng Huang Joins UMIACS
Dec 12, 2022 - In addition to his UMIACS appointment, he will be the first Brendan Iribe Endowed Professor in Computer Science.
Developing Tools to Convey Big Data With Sound and Touch
Dec 12, 2022 - The NSF-funded research will expand employment, education opportunities for blind data users.
Applied Math Led Hartree Fellow to Quantum Computing Research
Nov 30, 2022 - Dong An is using his background in applied mathematics to design better quantum algorithms.
MC2 Launches Travel Awards Program
Nov 21, 2022 - It will support Maryland Cybersecurity Center students and postdocs traveling to academic conferences, workshops or other research events focused on cybersecurity or privacy.
UMIACS Faculty Receive Meta Research Awards to Advance AI
Nov 18, 2022 - Jordan Boyd-Graber and Nirupam Roy will each use their Meta funding to further projects that are based in artificial intelligence (AI).
GAMMA Group Wins Best Paper Award at ACM Conference
Nov 17, 2022 - The paper describes a novel method for classifying the emotions of individuals based on 3D video captures of their walking and other physical traits.