PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor ASSOCIATE PROF. Ronen Talmon
Advisor’s Email
No of theses 14
Department Electrical and Computer Engineering
Department Web Site
Student’s Name Graduation Year Degree Abstracts Research Name
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
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
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
Lin Ya-Wei 2020 MSc Graph Analysis for Multiplexed Data with Application to Image Mass Cytometry
Cohen Ido 2020 MSc Abstracts Unsupervised Anomaly and Target Detection using Manifold Learning with Application to Deep Brain Stimulation (DBS)
Bloom Noam 2019 MSc Abstracts Covariance Matrix Estimation Under a Combined Low-Rank and graphical Model Structure
Avinu Maya 2019 MSc Abstracts Analyzing Neuronal Signals using Geometric Methods
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