PhD Category
First Place
Roy Shefran, supervised by Moti Segev.
Research Topic:
All DOF All at Once: Single-Measurement Quantum Tomography for Hyperentanglement
Judges’ Remarks:
The committee was impressed by the significance and depth of the problem addressed, as well as by the elegant and practical technological solution proposed. The committee also commends the student’s excellent presentation skills.
Second Place
Zohar Rimon, supervised by Aviv Tamar.
Research Topic:
Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
Judges’ Remarks:
The committee was impressed by the integration of robotics, machine learning, and advanced sensing technologies to address a highly important medical problem. The research is supported by practical experiments that demonstrate the effectiveness and applicability of the proposed approach.
Third Place
Rotem Elimelech, supervised by Ido Kaminer.
Research Topic:
Electronic-State Tomography via DFT-Informed Electron-Phase Imaging
Judges’ Remarks:
The committee was impressed by the innovative imaging approach, which shows strong potential for the tomography of advanced materials.
MSc Category
First Place
Rotem Russo, supervised by Yossi Keshet.
Research Topic:
DCAF: Dynamic Contrastive Alignment Framework for Phoneme Forced Alignment
Judges’ Remarks:
A novel solution featuring end-to-end differentiable training for audio-to-phoneme alignment. Rotem demonstrated broad and focused knowledge, answered questions clearly and effectively, and maintained a strong focus on the core research objectives.
Second Place
Yousef Safadi, supervised by Nicholas Weinstein.
Research Topic:
High-Speed and Energy-Efficient PAM-4 Transceiver with Crosstalk Cancellation for Die-to-Die Links
Judges’ Remarks:
A bold solution addressing a challenging problem that required significant innovation to achieve substantial improvements in energy efficiency. The student delivered a clear, well-structured presentation and effectively communicated the research findings throughout the poster session.
Third Place
Shelly Francis, supervised by Aviv Tamar.
Research Topic:
Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action Models
Judges’ Remarks:
This work brings reinforcement learning to an important real-world challenge: calibrating vision-language-action models. The presentation was clear, engaging, and focused, demonstrating strong mastery of the subject matter and a thorough understanding of the research.
