Hany Farid

Hany Farid is a Professor at the University of California, Berkeley, with a joint appointment in Electrical Engineering & Computer Sciences and the School of Information. His research focuses on digital forensics, forensic science, misinformation, image analysis, and human perception. He received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989 and his Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT, he joined the faculty at Dartmouth College in 1999, where he remained until 2019. He is affiliated with the Berkeley Artificial Intelligence Research Lab (BAIR), the Berkeley Center for Computational Imaging (BCCI), and the Visual Computing Lab (VCL).

Hany Farid is a professor at the University of California, Berkeley, specializing in Media Forensics, Deepfakes, Generative AI, Forensic Science, and Misinformation. His research focuses on detecting and exposing digital forgeries, analyzing the accuracy of AI-generated content, and addressing the challenges of misinformation in the digital age. Farid's work includes developing statistical tools for digital forensics, examining the limitations of AI in predicting recidivism, and exploring the intersection of art and generative AI. His publications highlight methods for identifying inconsistencies in lighting, detecting duplicated image regions, and analyzing chromatic aberration in digital forgeries.