AI Advances and Applications Virtual Seminar Series: UF AI Research Catalyst Fund Awardees

The UF Informatics Institute is hosting a virtual seminar series presented by the AI Research Catalyst Fund 2020 Awardees. The seminars began on September 1. Registration is required for each seminar. Please visit to register.

Wednesdays, 12:00 pm – 1:00 pm via Zoom

Upcoming seminars in September include the following:

  • Sept. 15, 2021: Parker Kotlarz [PI Juan Claudio Nino], “AI-Enabled Imaging Biomarker Identification for Early Detection and Treatment of Alzheimer’s Disease.” Register Here.
  • Sept. 22, 2021: Steven Weisberg, “What Mind Matters? Machine Learning Approaches to Linking Structural Variation in the Brain to Individual Differences in Spatial Behavior.” Register Here.

  • Oct. 6, 2021: Tezcan Ozrazgat Baslanti, “The Artificial Intelligence Learns Optimal Treatment Strategies for Hypotension in Surgery.” Register Here.
  • Oct. 13, 2021: Chenglong Li, “A Machine Learning Approach to Drug Hit Optimization.”  Register Here.
  • Oct. 20, 2021: Hassan Azad, “Application of Machine Learning in the Prediction and Modeling.” Register Here.
  • Oct. 27, 2021: Ray Huffaker, “Symbiosis of Machine Learning, Nonlinear Time Series Analysis, and Novel Supercomputing to Reconstruct Soil-Biome Nonlinear Dynamics from Field and Remote-Sensing Large Data.” Register Here.
  • Nov. 3, 2021: Salil Bavdekar [PI Ghatu Subhash], “AI-Assisted Accelerated Discovery of Novel Materials for Ballistic Applications.” Register Here.
  • Nov. 10, 2021: Huan Chen, “Fairness in Information Access through Culturally Competent AI Systems.” Register Here.
  • Nov. 17, 2021: Emre Tepe, “Spatio-Temporal Modeling of Land-Use Changes Using Big Data.” Register Here.
  • Dec. 1, 2021: Brian Odegaard, “Combining Deep Neural Networks and Large-Scale Brain Data to Predict Human Cognition and Behavior.” Register Here.
  • Dec. 8, 2021: Qing Lu, “A Kernel Neural Network for High-Dimensional Genomic Risk Prediction.” Register Here.

UF has launched a major initiative to engage intellectual interest in AI with the objective of becoming a national leader in AI research and education. As part of this initiative, the AI Research Catalyst Fund is intended to jump start research and collaboration in AI and promote the use of UF’s new computing infrastructure. The AI Research Catalyst Fund Awardees are developing projects that (a) strive to develop new machine-learning and deep-learning algorithms; (b) use AI/ML to develop ways of analyzing heterogeneous data or novel methods for analyzing existing datasets; (c) introduce AI and ML to investigators with little experience in AI/ML; and (d) address foundational issues in AI, its applications to science and engineering problems, and its impacts to society.

To learn more, visit

Main UF AI webpage:

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