Research Areas - Artificial Intelligence

School of Information faculty and students conduct research on fundamental and applied topics in artificial intelligence and machine learning, e.g. to address challenges in data analytics, computational analytics, IoT analytics, human-AI collaborative systems and other fields.

Faculty

Erik Golen
Senior Lecturer
Matt Huenerfauth
Director School of Information
Sooyeon Lee
Post Doctoral Research Associate

Facilities

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Linguistic and Assistive Technologies Laboratory

We conduct research in computational linguistics and human-computer interaction, with a primary focus on accessibility applications and assistive technology for people with disabilities.

Learn more about the Linguistic and Assistive Technologies Laboratory

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Machine Learning and Data Intensive Computing (Mining) Laboratory

The Mining Lab aims to build statistical learning models to tackle hard data analytics problems in knowledge-rich domain (e.g., medicine and bioinformatics).

Learn more about the Mining Lab