PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor PROF. Ronen Talmon
Advisor’s Email ronen@ee.technion.ac.il
No of theses 21
Department Electrical and Computer Engineering
Department Web Site ece.technion.ac.il/?lang=he
Student’s Name Graduation Year Degree Abstracts Research Name
Bar Amitay 2024 PhD Abstracts Riemannian Geometry and Manifold Analysis in Reinforcement Learning, Signal Processing, and Optimization
Katz Ori 2023 PhD Abstracts Geometric Methods for Multimodal Data Analysis and Domain Adaptation
Lahav Almog 2022 PhD Abstracts Metric Learning and Domain Adaptation for High-Dimensional Data
Shnitzer Dery Tal 2021 PhD Abstracts Operator-Theoretic Approach for Manifold Learning with Application to Multimodal and Temporal Data Analysis
Yair Or 2020 PhD Abstracts Geometric Analysis of Signals and Systems
Dov David 2018 PhD Abstracts Multi-Modal Signal Processing on Manifolds
Bronstein Emil 2024 PhD Abstracts Novel Methods for Measurement and Data-Driven Analysis of Nano-Avalanches
Cohen Rimon Avigail 2023 MSc Abstracts Geometry-Based Dynamic Connectivity Analysis of Biological Neural Networks
Shimonov Shay 2023 MSc Abstracts Optimal Scale Selection for Diffusion on Data with Applications to Multimodal Data Analysis
Yampolsky Tamir Baruch 2023 MSc Abstracts Domain Adaptation Using Multi-Kernel Matching
Zach Itay 2023 MSc Abstracts Graph Signal Interpolation and Extrapolation based on Contiunous Domain Analysis
Rahamim Ohad 2021 MSc Abstracts Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator
Wiegner Aviad 2021 MSc Abstracts Data Driven Koopman Operator Analysis Based on Noisy Augmented Observations
Silbak Jumana 2021 MSc Abstracts Geometric Analysis of the Dynamic Connectivity of Biological and Artifical Neural Networks
Aloni Abuhasira Lior 2021 MSc Abstracts Joint Geometric and Topological Analysis of Hierarchical Datasets
Cohen Ido 2020 MSc Abstracts Unsupervised Anomaly and Target Detection using Manifold Learning with Application to Deep Brain Stimulation (DBS)
Lin Ya-Wei 2020 MSc Graph Analysis for Multiplexed Data with Application to Image Mass Cytometry
Avinu Maya 2019 MSc Abstracts Analyzing Neuronal Signals using Geometric Methods
Bloom Noam 2019 MSc Abstracts Covariance Matrix Estimation Under a Combined Low-Rank and graphical Model Structure
Katz Ori 2017 MSc Abstracts Difusion-Based Nonlinear Filtering for Multimodal Data Fusion
Schwartz Ariel 2017 MSc Abstracts Intrinsic Isometric Manifold Learning with Application to Localization in Sensor Networks