Eran Treister
Group
Mr. Ido Ben-Yair (PhD - direct track)
Graph Neural Networks for Accelerating Physical Simulations on Unstructured Meshes.
Mr. Matan Goren (PhD - direct track)
Physics-guided FWI using Multigrid-augmented CNNs.
Ms. Rachel Yovel (PhD)
Preconditioners for the elastic and acoustic Helmholtz equations.
Mr. Tal Kadosh (PhD)
Computational Fluid Dynamics.
Mr. Shakked River (MSc, joint supervision with Prof. Tirza Routtenberg)
Graphical Signal Processing.
Ms. Tslil Sardam (MSc, joint supervision with Prof. Tirza Routtenberg)
Graphical Signal Processing.
Mr. Yali Fink (MSc-Meitar)
Improving Algebraic Multigrid Methods using Graph Neural Networks.
Mr. Alex Zadorojnov (MSc, joint supervision with Prof. Tirza Routtenberg)
Graphical signal processing for power system applications.
Mr. Dayan Badalbaev (MSc)
Sparse Matrix-Matrix multiplication on GPUs.
Mr. Avinoam David (MSc)
Quaternion LLMs
Ms. Roni Hershko (MSc)
New approaches for graph pooling
Mr. Yagil Brill (MSc-Meitar)
Quaternion Graph Neural Networks
Mr. Yossi Ram (MSc)
Mr. Yehonatan Arama (MSc)
Mr. Raz Monsonego (MSc)
Ms. Amit Alfasi (Dkalim, joint supervision with Prof. Danny Hendler)
Mr. Jonah Chaiken (MSc, joint supervision with Prof. Ron Folman)
Mr. Idan Goldberg (MSc, joint supervision with Dr. Yehuda Dar)
Alumni (PhD)
Dr. Moshe Eliasof, 2023. (PhD - direct track)
Deep Learning for Graphs.
Dr. Shahaf Finder, 2025. (PhD - direct track, joint supervision with Prof. Oren Freifeld)
Structured pruning and wavelet compression and architectures of convolutional neural networks.
Mr. Maor Ashkenazi (PhD)
Compression and compact representation of Deep Learning Models.
Alumni (MSc)
Mr. Jonathan Ephrath
Exploiting structured sparsity in deep neural networks.
Mr. Sagi Buchatsky
Low-rank shource-extended full-waveform inversion.
Mr. Gil Ben-Shalom
Deep learning in low precision.
Mrs. Yael Azulay
Multigrid-augomented deep learning for the Helmholtz equation.
Ms. Sofi Feldman (Joint supervision with Dr. Tal Shai)
Cross-spiecies normalization for genomic data.
Mr. Gal Shalom (Joint supervision with Prof. Irad Yavneh, Technion)
Efficient solvers for Graphical LASSO.
Mr. Yair Zohav
Wavelet Feature Maps Compression for Low Bandwidth Convolutional Neural Networks.
Mrs. Ruth Akiva-Hochman
Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks.
Mr. Yakov Medvedovsky (Joint supervision with Prof. Tirza Routenberg)
Efficient Graph Laplacian Estimation by a Proximal Newton Approach.
Mr. Bar Lerer
Deep learning approaches for the Helmholtz equations.
Mr. Benjamin Bodner
Deep learning in low precision.
Mr. Roi Mashiah (Joint supervision with Prof. Tirza Routtenberg)
Graphical Signal Processing.
Mr. Eshed Gal
Multiscale training of GNNs.
Mr. Yaniv Galron (MSc, joint supervision with Dr. Haggai Maron, Technion)
Positional Encodings for Temporal Graph Neural Networks.
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