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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Lingjiong Zhu, PhD

Professor and Thinking Machines Eminent Scholar Chair

Stochastic Algorithms, Large-Scale Sampling, Machine Learning, Financial Engineering, Mathematics, Algorithms
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
Michael Neal, PhD

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

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

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

Medication Adherence, Psychosocial Risks, Healthcare, Social Work, Medicine
Nick Dexter, PhD

Assistant Professor

Computational Mathematics, Scientific Machine Learning, Uncertainty Quantification, Energy Systems, Deep Learning, Mathematics, Computational Mathematics, Computational Science, Computer Science, Scientific Computing, Machine Learning
Noyan Ilk, PhD

Department Chair, Synovus Associate Professor of Business Administration and MS-BA Program Coordinator

Business and Service Analytics, Machine Learning Business, Financial Technologies, Finance, Information Science, Supply Chain
Oliver Steinbock, PhD

Cottrell Family Professor

Chemistry, Materials Chemistry
Qi Feng, PhD

Assistant Professor

Machine Learning Theory, Algorithm Design, Reinforcement Learning, Signature Method, Sub-Riemannian Geometry, Stochastic Analysis, Stochastic Control, Computational Modeling, Machine Learning, Data-driven Modeling

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