Hany Farid

Hany Farid is a Professor at the University of California, Berkeley with a joint appointment in the Department of Electrical Engineering & Computer Sciences (EECS) and the School of Information. He specializes in digital forensics, forensic science, misinformation analysis, image analysis, and human perception. His research focuses on detecting manipulated media (photos, videos, audio) and understanding societal impacts of AI-generated content.

• Education: PhD in Computer Science (University of Pennsylvania, 1997), Postdoc at MIT (1999).
• Affiliations: Co-founder and Chief Science Officer at GetReal Security.
• Grants: Supported by NSF, DARPA, Adobe, Meta, Oak Foundation, and others.

His work bridges computational techniques with human perception, addressing challenges like deepfake detection and forensic science reliability. He has authored over 200 papers and two book-length studies on photo forensics and synthetic media.

Research Highlights:

• Developed algorithms to detect photo/video manipulation via lighting/shadow inconsistencies.
• Investigated AI-generated voice and facial synthesis detection.
• Explored societal impacts of misinformation and predictive algorithms in criminal justice.

Awards:

• Alfred P. Sloan Fellowship (2002)
• John Simon Guggenheim Fellowship (2006)
• Fellow of the National Academy of Inventors (2020)
• IEEE Fellow (2018)

Advising: Mentored over 40 students, including PhD candidates in computer vision and forensic science. Current focus includes M.S./PhD students in digital forensics and AI ethics.