Go Top
Skip links to main content
Home
Contact Me
Sponsorship
About Me
Team
Current
Alumni
Research
Publications
Journals
Conferences
Book Chapters
Magazines
All Publications
Teaching
News & Events
Team
Alumni
Post Docs
Graduate Students
Post Docs
Hadas Benisty
Year:
2018
Co-host: Prof. Ron Meir
Current:
Assistant Professor at Technion, Faculty of Medicine
Graduate Students
Ph.D
Ori Katz
Year:
2023
Reserch Title:
Geometric Methods for Multimodal Data Analysis and Domain Adaptation
Almog Lahav
Year:
2022
Reserch Title:
Optimal Transport on Manifolds for Domain Adaptation and Metric Learning
Direct track
thesis
David Dov
Year:
2018
Reserch Title:
Multi-modal Signal Processing on Manifolds
Principal supervisor: Prof. Israel Cohen
Bracha Laufer-Goldstein
Year:
2021
Reserch Title:
Manifold Learning Techniques for Source Localization and Beamforming
Direct track, principal supervisor: Prof. Sharon Gannot
Current:
Assistant Professor at TAU EE
Or Yair
Year:
2020
Reserch Title:
Geometric Analysis of Signals and Systems
Direct track
Tal Shnitzer
Year:
2020
Reserch Title:
Operator-Theoretic Approach for Manifold Learning with Application to Multimodal and Temporal Data Analysis
Direct track
Current:
Postdoc at MIT
M.Sc
thesis
Ori Katz
Year:
2017
Reserch Title:
Diffusion-based Nonlinear Filtering for Multimodal Data Fusion
Lior Aloni
Year:
2021
Reserch Title:
Representation and metric learning with geometric and topological analysis
Principal supervisor: Prof. Omer Bobrowski
thesis
Ariel Schwartz
Year:
2017
Reserch Title:
Intrinsic Isometric Manifold Learning with Application to Localization in Sensor Networks
Aviad Wiegner
Year:
2021
Reserch Title:
Prediction of stochastic dynamical systems using Koopman operator analysis
thesis
Maya Harel
Year:
2018
Reserch Title:
Analyzing Neuronal Signals Using Geometric Methods
Co-supervisor: Prof. Ron Meir
thesis
Noam Bloom
Year:
2018
Reserch Title:
Covariance matrix estimation with applications to geometric modelling of signals
Joumana Silbak
Year:
2020
Reserch Title:
Revealing the dynamic connectivity underlying high-dimensional time series
thesis
Ido Cohen
Year:
2020
Reserch Title:
Unsupervised Anomaly and Target Detection using Manifold Learning with Application to Deep Brain Stimulation (DBS)
thesis
Ya-Wei Lin
Year:
2020
Reserch Title:
Graph Analysis for Multiplexed Data with Application to Image Mass Cytometry
Shay Shimonov
Year:
2022
Reserch Title:
Kernel Scale Selection with Geometric Approximation for Multimodal Data Analysis
Ohad Rahamim
Year:
2021
Reserch Title:
System identification with the Koopman operator
Avigail Cohen-Rimon
Year:
2023
Reserch Title:
Geometry-based Dynamic Connectivity Analysis of Biological Neural Networks
Co-supervisor: Prof. Jackie Schiller
Tamir Yampolsky
Year:
2023
Reserch Title:
Domain Adaptation Using Multi-Kernel Matching
Itay Zach
Year:
2023
Reserch Title:
Graph Signal Interpolation and Extrapolation Based on Continuous Domain Analysis
Co-supervisor: Dr. Tsvi Dvorkind
Team:
Current
Alumni