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Hany Farid: To Limit Disinformation, We Must Regulate Internet Platforms. UC Berkeley professor, one of the world’s leading experts on digital forensics and human perception, talks about the storm of digital disinformation so powerful that it’s putting lives, and democracy, at risk.
Professor. Hany Farid joined the I School and the EECS Department as a professor in July 2019. He is also a member in the Berkeley Artificial Intelligence Lab, and Center for Innovation in Vision and Optics. Farid is the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and a Fellow of the IEEE and National Academy ...
Biography. I am a Professor at the University of California, Berkeley with a joint appointment in Electrical Engineering & Computer Sciences and the School of Information. My research focuses on digital forensics, forensic science, misinformation, image analysis, and human perception.
Hany Farid. Professor, University of California, Berkeley. Verified email at berkeley.edu - Homepage. ... H Farid. Methods in Ecology and Evolution 3 (5), 813-822, 2012. 322: 2012: Elastic registration in the presence of intensity variations. S Periaswamy, H Farid. IEEE Transactions on Medical Imaging 22 (7), 865-874, 2003. 309:
Evaluation on synthetically-generated and real-world images, with resolutions ranging from 10 to 60 pixels in width and signal-to-noise ratios ranging from −3.0 to 20.0 dB, shows that the proposed approach can localize and extract content from severely degraded images, far outperforming human performance. Perceptual Grouping.
University of California, Berkeley. Professor, Electrical Engineering and Computer Sciences (50%) Professor, School of Information (50%) Member, Berkeley Artificial Intelligence Research Lab Member, Center for Innovation in Vision and Optics Senior Faculty Advisor, Center for Long-Term Cybersecurity Member, Development Engineering Member ...
Email: hfarid@berkeley.edu. Website: Farid Lab. Farid is Professor in the School of Information and the Department of Electrical Engineering and Computer Science. His research focuses on signal/image processing, image analysis, computer vision, computer graphics, and human perception.
