Dr. Gubanov is an assistant professor and a lead PI on a multi-year NSF ($550K) grant and a Casey DeSantis Cancer Innovation Fund ($1.2M) consortium grant with Moffitt Cancer Center to develop new AI for better cancer practices. He earned his PhD from the University of Washington and completed a postdoc at MIT CSAIL. His honors include the Amazon AI AWS Research Award, the Communications of the ACM (CACM) Award, the ACM SIGMOD Research Highlights Award, and the IEEE ICDE Best Paper Award.

Dr. Yushun Dong, an assistant professor of computer science at FSU, directs the Responsible AI (RAI) Lab. His research on trustworthy AI emphasizes security, integrity, and explainability, with applications in natural disaster prediction and healthcare. A lead PI on over $3 million in grants (NSF), his work is published in premier venues like NeurIPS and KDD.

Dr. Dexter is an assistant professor of scientific computing at FSU. His research focuses on computational mathematics, scientific machine learning, and uncertainty quantification, applied to areas like energy systems and deep learning. He has published at premier venues like NeurIPS and ICML and is passionate about advancing interdisciplinary research.

Dr. De is the Dean of the FAMU-FSU College of Engineering. He researches the intersection of computational science, deep learning, VR, and neuroimaging. Supported by the NIH and DOD, his work develops AI-based methods for video assessment of technical skills and uses fNIRS/EEG to study brain activity. His goal is to create validated tools for surgical training and enhancing human performance in complex systems.

Dr. Chipilski is a computational scientist focused on data assimilation for numerical weather prediction. His current research leverages generative AI to develop novel algorithms that improve the accuracy and efficiency of integrating observational data. Broadly interested in atmospheric dynamics, his work is interdisciplinary, spanning algorithmic theory and Earth system modeling.