Team
I'm alway looking for self-motivated graduate students with strong academic record that are interested in doing research on theory and applications in the fields of machine (deep) learning, signal & image processing, optimization, and their interconnections.
If you are interested in joining my research group, you are more than welcome to send me an email with your CV and academic record.
Please note: I'm not considering candidates who are employed full-time in industry positions.
Current Lab Members
M.Sc. Students:
Yefim Nudelman, M.Sc. Student (with Dr. Dor Atzmon)
Topic: Learning-based planning
Ariel Fargion, M.Sc. Student
Topic: Enhancing conformal prediction
Yahav Cohen, M.Sc. Student
Topic: Uncertainty quantification in regression
Omer Vigder, M.Sc. Student (with Dr. Ofir Lindenbaum)
Topic: Phenomena in feature learning
Lioz Berman, M.Sc. Student (with Prof. Sharon Gannot)
Topic: Deep learning for array processing
Tomer Garber, M.Sc. Student
Topic: Solving inverse problems with diffusion models
Research Assistants:
Roy Turgeman
Topic: On the relation between low- and high-level tasks
Alumni
Former M.Sc.:
Lahav Dabah, M.Sc., 2026
Thesis: "On Temperature Scaling and Conformal Prediction of Deep Classifiers", ICML25
Idan Mashiach, M.Sc., 2025 (with Dr. Oren Glickman)
Thesis: "Catastrophic Forgetting Mitigation Through Plateau Phase Activity Profiling", arXiv
Kobi Rahimi, M.Sc., 2025 (with Dr. Ofir Lindenbaum)
Thesis: "Multiple Descents in Unsupervised Learning", TMLR25
Former B.Sc.:
Roy Turgeman, B.Sc., 2025 ---> Research Assistant, ICLR26
Ariel Fargion, B.Sc., 2025 ---> M.Sc. Student, arXiv
Amit Levy, B.Sc., 2025
Lahav Dabah, B.Sc., 2024 ---> Direct M.Sc. Track, ICML25, arXiv
Alumni that I informally co-advised:
Shady Abu-Hussein, Ph.D. (with Prof. Raja Giryes, TAU) ---> Postdoc at University of Cambridge
Vignesh Kothapalli, M.Sc. (with Prof. Joan Bruna, NYU) ---> LinkedIn ---> Ph.D. at Stanford University