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
Principal Investigator(s): Galina Madjaroff Reitz
Funder: Maryland Industrial Partnerships UMD Funded
Research Areas: Health Informatics > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Researchers are developing an AI-powered physical therapy coach that uses real-time motion tracking and personalized feedback to improve exercise adherence and outcomes. By simulating human-like interaction and emotional engagement, the project aims to make home-based rehabilitation more effective and accessible.
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): 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
Faculty
Recent News
Led by the University of Maryland, TRAILS was launched in May 2023 with a $20 million award from the National Science Foundation and the National Institute of Standards and Technology. The institute is focused on developing, building and modeling participatory research that—over time—will increase trust in AI. Illustration courtesy of TRAILS. Image via Maryland Today.
Maryland Today: $750K in Seed Grants Awarded by UMD-Led Coalition on Trustworthy AI
Six INFO faculty are among researchers awarded $750K+ in TRAILS funding to advance trustworthy, human-centered AI innovation
Working in the Small Artifacts (SMART) Lab, Assistant Professor of computer science Huaishu Peng (left) and doctoral students Zining Zhang (center) and Jiasheng Li discuss technology that can assist sight-impaired people. Photo by Mike Morgan Photography. Photo via Maryland Today.
Maryland Today: Blind People Struggle With Nonverbal Cues. A UMD-Cornell AI Project Could Help.
INFO's Ge Gao is helping develop AI to assist blind professionals interpret nonverbal workplace cues
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