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Artificial Intelligence

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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.

    Learn More
  • 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.

    Learn More
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  • Qi Feng

    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
  • Richard Antwi

    Richard Antwi

    PhD Student
    Computer Vision, Road Geometry, Intelligent Transportations Systems, Mobility, Transportation, Engineering, Data Science
  • rittwika-kansabanik

    Rittwika Kansabanik, PhD

    Graduate Teaching Associate
    Machine Learning, Statistics, Trustworthy AI Systems
  • Ruosi Shao

    Ruosi Shao, PhD

    Assistant Professor
    Health-Computer Interactions, Health AI, AI, Digital Health Interventions, Health Communication
  • Rusell Almond

    Rusell Almond, PhD

    Associate Professor
    Statistics, Education, Measurement, Games, Simulation, Assessments, Game-based Assessment, Simulation-based Assessment, Bayesian
  • Sachin Shanbhag

    Sachin Shanbhag, PhD

    Associate Professor
    Algorithms, Machine Learning, Scientific Computing, Scientific Machine Learning
  • Sangyhun Lee

    Sangyhun Lee, PhD

    Associate Professor, Department Graduate Chair (CEE), Graduate Committee Chair
    Scientific Machine Learning, Finite Element Methods, Energy Systems, Machine Learning, Mathematics
  • Scott Stagg

    Scott Stagg, PhD

    Professor
    Deep Learning, Cellular Molecular Machines, Cryo-Electron Microscopy, Experimental Biology, Data Classification, Microcopy
  • Shibo Li

    Shibo Li, PhD

    Assistant Professor
    Computational Physics, Machine Learning, Statistics
  • Shouping Hu

    Shouping Hu, PhD

    Lou & Elizabeth Bender Endowed Professor of Higher Education, Co-Director of the Collaborative Lab for the Advancement of Student Success
    Postsecondary Readiness, Education, Higher Education, Student Outcomes

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Submit Your Research

Interested in featuring your AI award, presentation, or publication?

Fill out the short survey below! Be sure to include specific
pieces of research and all relevant details.  

Submit Research

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