AI Research

Florida State University champions the innovative, exciting, and groundbreaking research our esteemed faculty produces. FSU's AI researchers push technological boundaries across fields such as computer science, law, business, and many more, expanding how we can understand and apply AI. Their work increases access to these technologies, raises public awareness, and fuels lasting impact in this rapidly growing field.

AI’s Potential to Solve Real-World Problems

Guang Wang, PhD, understands AI’s potential as a catalyst for societal transformation, empowerment, and protection. His research utilizes AI technologies to build a more sustainable future.
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AI’s Evolving Relationship with Language

Tom Juzek, PhD, believes the human component of AI technologies is essential. His research examines the connection between human language and large language models, focusing on the linguistic behavior of the models.
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Jonathan Adams, EdD, PhD

Professor

Educational Technologies, Online Learning, Entrepreneurship, Visual Data, Data Science, Information Science, Education
Kadir Kozan, PhD

Assistant Professor, Dean's Emerging Scholar

Educational Psychology, Instructional Design, Non-Instructional Design
Lauren Scholz, JD

McConnaughhay and Rissman Professor

Law, Law and Market Behavior
Lichun Li, PhD

Associate Professor, Department Graduate Chair (CEE), Graduate Committee Chair

Game Theory, Quantum Computing, Games
Lingjiong Zhu, PhD

Professor and Thinking Machines Eminent Scholar Chair

Stochastic Algorithms, Large-Scale Sampling, Machine Learning, Financial Engineering, Mathematics, Algorithms
Lisa Hightow-Weidman, MD

Distinguished & Endowed McKenzie Professor, Associate Dean for Research, Director of the Institute on Digital Health and Innovation

Digital Health, AI, Chatbots, HIV Prevention and Care
Liying Wang, PhD

Assistant Professor, Dean's Emerging Scholar

Mental Health Equity, Social Determinants of Health, Marginalized Groups, Mental Health Disparities, Resilience, Healthcare, Mental Health, Nursing, Psychology
Maxim Dulebenets, PhD

Associate Professor, Department Graduate Chair (CEE), Graduate Committee Chair

Algorithms, Heuristics, Algorithm Design, Computational Modeling
Michael Gubanov, PhD

Assistant Professor

Cancer, Healthcare, Medicine, Trustworthy AI, Trustworthy AI Systems, Digital Health, Human-Centered AI, Computational Science, Computer Science, Explainability in AI Systems, Machine Learning, Clinical NLP, Data Science, Biomedical/Health Informatics, Information Science, Knowledge Representation, Natural Language Processing, Educational Technologies, Reinforcement Learning, Scientific Machine Learning
Michael Neal, PhD

Associate Professor

Writing Curricula, Critical Thinking, Writing, Ethical AI Use, Student Engagement, Educational Policy

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