Dr. Guang Wang, an assistant professor of computer science at FSU, directs the Data, Computing, and Society (DCS) Lab. His research focuses on generative AI, spatiotemporal data mining, and human-centered AI for applications in mobility, energy, and healthcare. He has over 90 publications in top venues and is a recipient of the 2024 NAIRR Award.
Dr. Daniel G. Schwartz specializes in knowledge representation and reasoning within AI. His research spans formal logical systems, fuzzy sets, and nonmonotonic reasoning, focusing on the logical foundations of AI. Applications include automated theorem proving and automated planning for autonomous vehicles.
Dr. Quaife is an associate professor in the Department of Scientific Computing and a Faculty Associate of the Geophysical Fluid Dynamics Institute. His research focus is computational methods for different problems in fluid dynamics. Particular applications include elastic membranes, porous media, and fire dynamics.
Dr. Xian Mallory is an assistant professor of computer science at FSU, specializing in bioinformatics and AI for complex biological data analysis. Her research develops AI/machine learning methods to understand cancer evolution, heterogeneity, and genomic variation. She is a recipient of an NSF award for using AI in the detection of tumor cells.
Dr. Zhe is a full professor in the School of Information and Director of the Institute for Successful Longevity at FSU. As a biomedical informatician, his research intersects with biomedical/health informatics, computer science, and information science. He specializes in machine learning, NLP, and knowledge representation. He is an elected fellow of IAHSIand AMIA.
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. Adrian Barbu is a professor in the Department of Statistics at FSU, holding PhDs in Mathematics and Computer Science. His expertise spans computer vision, machine learning, and medical imaging, resulting in over 90 papers and 25 patents. He is a recipient of the Thomas A. Edison Patent Award and the FSU Graduate Faculty Mentor Award.
Bryce Anderson is a student researcher studying computer science. He is passionate about the intersection of AI and language, with recent work investigating how AI tool usage may correlate with language change in spoken English. Beyond his research on language, Bryce’s interests include promoting ethical AI use in society.
