Collectively, the list of achievements and awards received by the faculty include 17 NSF Career Award winners; six IEEE Fellows; three ACM Fellows; three AAAS Fellows; one IEEE Computer Society Taylor L. Booth Education Award; one IEEE Computer Society W. Wallace-McDowell Award; and one ACM Karl Karlstrom Outstanding Educator Award.
The Department of Computer & Information Science & Engineering’s human constituents represent a diverse mix of individuals, including distinguished faculty, committed staff and talented students. Use the information below to lookup details (including contact information) about staff members, including office staff, student advisors, IT staff and other personnel.
In addition to the senior officers listed above, a number of administrative committees advise the chair and oversee various aspects of the departments daily operations.
CISE employs three times the national average of black faculty members among the nation's computer science programs.
2018 ASEE Data
CISE has the highest amount of black women faculty members among computer science departments nationwide.
2018 ASEE Data
CISE is ranked among the top 15 largest computer science departments nationwide.
2018 ASEE Data
Announcing 2020 Faculty Hires
The University of Florida Department of Computer & Information Science & Engineering welcomes three new faculty members.
James Fairbanks, Ph.D.
Dr. Fairbanks’s research focuses on programming languages; concurrency, parallelism and high-performance computing; and database, data science and informatics. His work focuses on using programming language theory and algebraic techniques for designing and developing large scale software for technical computing problems. Dr. Fairbanks earned his Ph.D. in Computational Science and Engineering in 2016 from the Georgia Institute of Technology. Before coming to UF, he worked at the Georgia Tech Research Institute on data analysis and high-performance computing. See Dr. Fairbanks’s profile.
Kiley Graim, Ph.D.
Dr. Graim’s research focuses on bioinformatics. Her other research interests include computational biology; database, data science and informatics; and machine learning. She earned her Ph.D. in Biomolecular Engineering in 2016 from the University of California Santa Cruz. Dr. Graim’s research operates at the confluence of life science research and computer science. Her lab develops machine learning models that integrate diverse large-scale genomics data to address key questions in human health and disease. Her overarching goal is to map the mechanisms of human diseases and to enable development of personalized therapies. See Dr. Graim’s profile.
Sara Rampazzi, Ph.D.
Dr. Rampazzi’s research focuses on investigating security risks and developing hardware and software defense strategies against hardware-based and physics-based attacks. Her research areas include cyber-physical systems security, embedded-systems design, modeling, and simulation with applications in health care, automotive, and the Internet of Things. Dr. Rampazzi earned her Ph.D. in electronics, computer science and electrical engineering in 2014 from the University of Pavia. Before coming to UF, she was a research investigator in the Department of Electrical Engineering and Computer Science at the University of Michigan. See Dr. Rampazzi’s profile.
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