Faculty
Collectively, the list of achievements and awards received by the department’s 58 faculty include 17 NSF Career Award winners; eight 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.
Staff
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 on this page to lookup details (such as contact information and job duties) about staff members, including office staff, student advisors, IT staff and other personnel.
Departmental Committees
In addition to the department administration, a number of administrative committees advise the chair and oversee various aspects of the department’s daily operations.
4X
CISE employs four times the national average of black faculty members among the nation's computer science programs.
2019 ASEE Data
#1
CISE has the highest amount of black women faculty members among computer science departments nationwide.
2019 ASEE Data
Top 5
CISE is ranked among the Top 5 for the most women faculty among computer science departments nationwide.
2019 ASEE Data
FINS Faculty Play Pivotal Role in New Cybersecurity-Focused IARPA Project
FINS faculty, Dr. Bonnie J. Dorr and Sonja M. Schmer-Galunder, are among the recipients of a new, large, multi-institutional award from the Intelligence Advanced Research Projects Activity (IARPA) agency – the research arm of the Office of the Director of National Intelligence- that delves into the psychology of cyber attackers.
Among others, such as SRI International – a non-profit scientific research institute established by Stanford University, UF Computer Engineering & Information Science (CISE) Dept. Professors Dorr and Schmer-Galunder will contribute to this recently announced initiative, entitled the Reimagining Security with Cyberpsychology-Informed Network Defenses (ReSCIND) program, by building a Cultural Natural Language Processing (NLP) system that applies tailored NLP methods to data from public platforms (e.g., Reddit, GitHub, and Discord) alongside experimental data from cross-cultural human subject research. Their research will focus on describing the identities of the members of distinct social groups, with an emphasis on cultural expressions of cognitive vulnerabilities, and the mapping between them (e.g. linguistic cues that can reveal cultural background and associated potential biases). Their work at UF will include analysis and group-specific use of jargon, language patterns, mental states such as “stance” or differences in social cognition (e.g. temporal and spatial orientation). The goal is to map cultural indicators to cognitive vulnerability profiles of malicious hackers, allowing for tailored defense strategies against cyber threats.
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