
CS Ph.D. Graduation Ceremony, 2023
The Technion Ph.D. Students Graduation Ceremony, 2023 was held on
Monday
evening, May 29, 2023
at the Technion amphitheatre. This year
264 Technion graduates in
2022-2023 received their Ph.D. diplomas, among them 17
Computer Science graduates:
| Michael Amir | Titled: | Probabilistic Pursuits on Graphs | Advised by: | Alfred Bruckstein |
| Ohad Eitan | Titled: | Access Patterns and Caching Algorithms | Advised by: | Roy Friedman |
| Yuri Feldman | Titled: | Semantic Perception under Uncertainty with Viewpoint-Dependent Models | Advised by: | Vadim Indelman |
| Catherine Haddad | Titled: | Learning Subclasses of Junta from Membership Queries | Advised by: | Nader Bshouty |
| Ido Hakimi | Titled: | Distributed Deep Neural Networks | Advised by: | Assaf Schuster |
| Dor Harris | Titled: | On the Orchestration of Advanced Cellular Network | Advised by: | Danny Raz |
| Dean Leitersdorf | Titled: | Fast Distributed Algorithms via Sparsity Awarenes | Advised by: | Keren Censor-Hillel |
| Stav Perle | Titled: | Mathematical Techniques for Cryptanalysis of Block Ciphers | Advised by: | Eli Biham |
| Dmitry Rabinovich | Titled: | Geometric Sorting of Simple Agents on Grid Environments with Applications to Autonomous Traffic Management | Advised by: | Alfred Bruckstein |
| Guy Rosin | Titled: | Incorporating Time into Word Representations | Advised by: | Kira Radinsky, Shaul Markovitch |
| Idan Schwartz | Titled: | Cognitive Models in Deep Learning | Advised by: | Tamir Hazan, Alexander Schwing |
| Rana Shahout | Titled: | Sketching Streaming Data: Efficient Methods for Processing Massive Data | Advised by: | Roy Friedman |
| Gal Sheffi | Titled: | A Scalable Linearizable Multi-Index Table | Advised by: | Erez Petrank |
| Uriel Singer | Titled: | Temporal Graph Embedding with Fairness | Advised by: | Kira Radinsky |
| Ron Slossberg | Titled: | On Synthesis and Reconstruction of Human Facial Photometry and Corresponding Geometry | Advised by: | Ron Kimmel |
| Ohad Talmon | Titled: | Improved Bounds for Online Aggregation and Caching | Advised by: | Seffi Naor |
| Gail Weiss | Titled: | Neural Sequence Models: A Formal Lens | Advised by: | Eran Yahav, Yoav Goldberg |
Congratulations and best of luck to all our graduates!
Pictures from the event
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