Machine Learning, AI, Computational Linguistics, and Information Retrieval
Developing methods that allow computers to perform learned tasks autonomously, creating practical solutions for human needs.
Research Projects
Enhancing Performance and Communication for Distributed Teams During Lunar Spacewalks
Principal Investigator(s): Susannah Paletz
Funder: NASA - Johnson Space Center Other Federal
Research Areas: Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s): Susannah Paletz
Funder: NASA - Johnson Space Center Other Federal
Research Areas: Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Harnessing Generative AI to Support Exploration and Discovery in Library and Archival Collection
Principal Investigator(s): Richard Marciano
Funder: Institute of Museum and Library Services
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Harnessing generative AI to support exploration and discovery in library and archival collections.
Principal Investigator(s): Richard Marciano
Funder: Institute of Museum and Library Services
Research Areas: Archival Science > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Harnessing generative AI to support exploration and discovery in library and archival collections.
Detecting and Mapping War-induced Damage to Agricultural Fields in Ukraine using Multi-Modal Remote Sensing Data
Principal Investigator(s): Sergii Skakun
Funder: NASA - Proposal Only Other Federal
Research Areas: Data Science, Analytics, and Visualization > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Smart Cities and Connected Communities > Social Networks, Online Communities, and Social Media
Principal Investigator(s): Sergii Skakun
Funder: NASA - Proposal Only Other Federal
Research Areas: Data Science, Analytics, and Visualization > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval > Smart Cities and Connected Communities > Social Networks, Online Communities, and Social Media
Faculty
Recent News
(Video) Search Mastery Speaker Series: “Search and the News”
Dr. Daniel Trielli discusses how search engines impact news, media bias, and journalism’s future in the digital age.
Instead of regulators playing catch-up, AI developers could help create safer systems if market-based incentives were put in place, UMD researchers say. Illustration by iStock.
Maryland Today: UMD Research Sends AI Safety to Market
INFO’s Abdirisak Mohamed joins UMD researchers in designing a market-driven approach to AI safety
Photo licensed by Adobe Stock