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Howard University Research Month

November 21, 2024

A cohort of faculty, staff and students from the University of Florida Department of Computer & Information Science & Engineering (CISE) were invited to attend Howard University Research Month in April. The group included Juan E. Gilbert, Ph.D., the Andrew Banks Family Preeminence Endowed Professor and CISE department chair, and several students from his lab. […]

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Sumi Helal, Ph.d., Retires after 25 years

November 21, 2024

Sumi Helal, Ph.D., retired from the department after two and a half decades of service. While on leave from UF, Helal served as professor and chair in Digital Health in the School of Computing and Communication at Lancaster University, U.K. Helal has also founded multiple companies including, Rokoit USA, Pervasa Inc., Phoneomena Inc., and cofounded […]

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2024: Message from the Chair

November 21, 2024

Dear colleagues, alumni and friends, This year, I am thrilled to share with you the many accomplishments of our faculty, staff, and students, which truly demonstrate the excellence and dedication that defines our department. First and foremost, I am pleased to welcome three new faculty members to our team: Emmanuel Dorley, Ph.D., Mohammad Al-Saad, Ph.D. […]

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Eakta Jain, Ph.D.

Jain Elected as ACM SIGGRAPH Executive Committee Chair

November 21, 2024

The Association for Computing Machinery (ACM) Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH) has elected Eakta Jain, Ph.D., an associate professor in the Department of Computer & Information Science & Engineering, as the new chair of the SIGGRAPH executive committee.   Jain’s vision for the SIGGRAPH committee includes vibrancy, sustainability and member wellness. […]

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Patrick Traynor, Ph.D.

Listen carefully: UF study could lead to better deepfake detection

November 19, 2024

University of Florida researchers recently concluded the largest study on audio deepfakes to date, challenging 1,200 humans to identify real audio messages from digital fakes. Humans claimed a 73% accuracy rate but were often fooled by details generated by machines, like British accents and background noises. “We found humans weren’t perfect, but they were better […]

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