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
An AI-Enhanced Colleague for Teachers: Developing and Studying an Innovative Platform for Efficient, Inclusive Middle-Grade Mathematics Lesson Planning
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
This project supports middle school math teachers by developing an AI-powered lesson planning tool that enhances efficiency, quality, and inclusivity. Integrating generative AI with research-based practices, it offers personalized guidance for creating effective lessons. The project also examines impacts on teacher stress, instructional effectiveness, and student learning outcomes.
Principal Investigator(s):
Funder: National Science Foundation
Research Areas: Machine Learning, AI, Computational Linguistics, and Information Retrieval > Youth Experience, Learning, and Digital Practices
This project supports middle school math teachers by developing an AI-powered lesson planning tool that enhances efficiency, quality, and inclusivity. Integrating generative AI with research-based practices, it offers personalized guidance for creating effective lessons. The project also examines impacts on teacher stress, instructional effectiveness, and student learning outcomes.
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: 8/1/2024 - 4/9/2025 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: 8/1/2024 - 4/9/2025 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.
Faculty
Recent News
Nearly two dozen AI projects from a host of disciplines and departments across the UMD campus were funded through a new seed grant program administered by the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM). Illustration by iStock
Maryland Today: AIM Seed Grants Support 22 AI Research Projects
INFO's Vanessa Frías Martínez, Hernisa Kacorri, and Katie Shilton are driving interdisciplinary AI research through UMD’s new $1.5M …
SoDa Symposium: “Crowdsourced Adaptive Surveys”
Featuring Yamil Ricardo Velez, an Assistant Professor of Political Science at Columbia University
Physics Professor Wolfgang Losert, one of the winners of UMD's Invention of the Year competition, holds a plaque onstage at Innovate Maryland on Tuesday. Also pictured (from left): UM Ventures Innovation Managers Virinchi Juttukonda and Ashwin Ramanujam, Chief Innovation Officer Dean Chang, Vice President for Research Gregory F. Ball, UM Ventures Associate Director Felicia Metz and UM Ventures-College Park Director Ken Porter. Photos by Mike Morgan.