Primary Research Area: Artificial Intelligence and Machine Learning Systems
Research Areas: Edge AI Systems, Efficient AI, Trustworthy AI
Research Interests: Efficient Edge AI Systems, Collaborative Intelligence Systems, Reliable AI, and Personalized AI.
Publications: Publications can be found on my website or Google Scholar. Websites: Home page
Awards & Distinctions: Best Paper Award of the AAAI Spring Series Symposium 2024 in Federated Learning on the Edge
Dr. Sanethia Thomas serves as a Senior Lecturer at the University of Florida. She earned her Ph.D. in Computer & Information Science & Engineering with a focus on Human Centered Computing, accompanied by a certificate in Athlete Development, also from the University of Florida. Dr. Thomas is a National Science Foundation Fellow and a GEM Fellow.…
Primary Research Area: Formal Methods, AI Safety, Cyber-Physical Systems, Robotics
Research Areas: Verification and Validation for Learning-enabled Autonomy
Research Interests: Formal Verification, Specification and Modeling Languages, AI Safety
Publications: See my Google Scholar: https://scholar.google.com/citations?user=_RzS3uMAAAAJ&hl=en
Websites: (links to personal and professional websites): https://sites.google.com/view/v2a2/about
Awards & Distinctions:
- NSF CAREER (2025)
- SIU PRIZE Golden Medal (2025) for Young Vietnamese Scientist in Computer Science Worldwide
- NSF EPSCoR Early Career First Award, 2022
- IEEE TCCPS Outstanding PhD Dissertation Award (2021)
Alper Üngör’s research is on the junction of the two main branches of computer science, theoretical computer science and scientific computing. Specifically, his research interests are in computational geometry, with special emphasis in mesh generation. His main goal is to understand the mathematical (mostly geometrical) structure of engineering problems and develop provably good algorithms to solve them.…
My research interests span: Statistics on Manifolds, Medical Image Computing, Computer Vision and Graphics, Statistical Learning, Information Geometry and Applied Mathematics. Most of my research these days is concerned with efficient recursive computation of statistics on Riemannian manifolds with applications to atlas (reference template) construction, clustering, data retrieval in Medical Imaging and Computer VIsion and Machine Learning.…
My research interest is to build systems and design algorithms to support large-scale and advanced data analysis (e.g., using statistics and machine learning), which goes beyond simple aggregations and OLAP in traditional databases and data warehouses.
I am the director of the UF Data Science Research lab. The current focus of the lab is on building and reasoning wth probabilistic knowledge graphs from text, images and crowd.
Lisha Zhou is a Lecturer in the Department of Engineering Education. She teaches core programming courses in Computer Information Science and Engineering. She received a MS in Computer Science from Fordham University in New York, where she performed data analytics research in neuroimaging and behavioral data in the Computational Neuroscience Lab.
Before joining University of Florida, Zhou worked for two years as a full-time Lecturer at Fordham University teaching core courses in Computer Science, including Data Structures, Database Systems, Computer Programming with C++, and Discrete Structures.…