Rana Hanocka
About Rana Hanocka
- Affiliations
- University of Chicago
- Tel Aviv University
- Bio
SIGGRAPH Asia 2021
Rana Hanocka is an Assistant Professor at the University of Chicago. She obtained her Ph.D. at Tel Aviv University supervised by Daniel Cohen-Or and Raja Giryes. Rana is the recipient of the Dan David Prize in Artificial Intelligence and an Outstanding Data Science Fellow awarded by Israel’s Council for Higher Education. Rana’s research interests include computer graphics and machine learning, focusing on applying deep learning to geometry processing problems. She has given invited talks across industry and academia. At Tel Aviv, she delivered guest lectures in an Advanced Deep Learning course, and developed a new undergraduate 3D Deep Learning course.
SIGGRAPH Conference Organizing Committee Positions
- Jury Member
- SIGGRAPH 2022: Technical Papers
Conference Contributions
- Presentations
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- Sessions Moderated
- “The Visual Language of Fabrics” by Deschaintre, Guerrero-Viu, Gutierrez, Boubekeur and Masia
- “ShapeCoder: Discovering Abstractions for Visual Programs From Unstructured Primitives” by Jones, Guerrero, Mitra and Ritchie
- “Patternshop: Editing Point Patterns by Image Manipulation” by Huang, Ritschel, Seidel, Memari and Singh
- “Local Deformation for Interactive Shape Editing” by Chen, Zheng and Wampler
- “Juxtaform: Interactive Visual Summarization for Exploratory Shape Design” by Pandey, Chevalier and Singh
- “ArrangementNet: Learning Scene Arrangements for Vectorized Indoor Scene Modeling” by Huang, Zhang, Duan, Zhang, Guo, et al. …
- Courses Organized
- “An Introduction to Deep Learning on Meshes” by Liu
Other Information
- Roles
- Course Organizer
- Technical Paper Moderator
- Technical Paper Presenter
- Technical Papers Jury Member
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