Ohad Fried

Ohad Fried is an Associate Professor of Computer Science at Reichman University. He was previously a postdoctoral research scholar at Stanford University under Prof. Maneesh Agrawala and completed his PhD with Prof. Adam Finkelstein as part of the Princeton Graphics group. He holds an M.Sc. in Computer Science and a B.Sc. in Computational Biology from The Hebrew University.

His research lies at the intersection of computer graphics, computer vision, and Generative AI, focusing on tools, algorithms, and paradigms for photo and video editing and synthesis. His work has been widely recognized in top conferences including CVPR, SIGGRAPH, and ECCV, with recent contributions to tiled diffusion models, expressive 4D facial motion generation, and synthetic image detection.

Ohad has received numerous awards, including the Israel Science Foundation personal research grant (2021), the Outstanding faculty researcher at Reichman University (2022), and the Siebel Scholar award (2017). He has advised multiple students in research projects, and his work is covered by media outlets like Wired, The Washington Post, and CNN.

Teaching roles include courses at Reichman University such as "GenAI for Games & Entertainment" and "Synthetic Media Detection", and at Stanford University "Computational Video Manipulation".

• Key Research Themes:
  • Neural Rendering
  • Diffusion Models
  • 3D Facial Animation
  • Image/Video Editing
  • Media Forensics

• Scientific Awards:
  • ISF Personal Grant (2021)
  • Siebel Scholar (2017)
  • Google PhD Fellowship (2014-2016)
  • Gordon Y.S. Wu Fellowship (2012-2013)
  • Excellence Scholarships