PhD and MSc Theses
PhD and MSc Theses, since 1988
Student’s Name |
Graduation Year |
Degree |
Abstracts |
Research Name |
Lysiansky Michael |
2012 |
PhD |
Abstracts |
Two Dimensional Ultrasound Speckle Tracking and Inverse Acoustic Scattering Problem |
Hong Tao |
2021 |
PhD |
Abstracts |
Numerical Optimization and Multigrid Computational Methods with Applications |
Shtok Joseph |
2012 |
PhD |
|
Adaptive Reconstruction Algorithms in Computed Tomography |
Begelman Grigory |
2009 |
PhD |
Abstracts |
Processing and Interpretation of Biological Microscopical Images |
Osherovich Eliyahu |
2012 |
PhD |
Abstracts |
Numerical Methods for Phase Retrieval |
Ackerman Schraier Lynore |
2023 |
MSc |
Abstracts |
A Machine Learning Exploration of Relations between Protein Structures and their Genetic Coding |
Vedula Sai Sanketh |
2020 |
MSc |
|
Learning-Based Design of Ultrasound Imaging Systems |
Elbaz Dan |
2018 |
MSc |
Abstracts |
Speech Signals Frequency Modulation Decoding via Deep Neural Networks |
Senouf Ortal |
2019 |
MSc |
Abstracts |
Improving Ultrasound Imaging with Deep Neural Networks |
Boublil David |
2018 |
MSc |
Abstracts |
Deep Learning for Inverse Problems in Image Restoration |
Pfeffer Yehuda |
2011 |
MSc |
Abstracts |
Compressive Sensing for Hyperspectral Imaging |
Shwartz Sarit |
2006 |
MSc |
Abstracts |
Blind Separation of High Dimensional Sources |
Matalon Boaz |
2006 |
MSc |
Abstracts |
Bayesian Methodology for Denoising Using Sparse Representations |
Model Dmitri |
2006 |
MSc |
Abstracts |
Multi-Sensor Signal Separation, Localization and Classification Using Nonlinear Optimization |
Narkiss Guy |
2006 |
MSc |
Abstracts |
Sequential Subspace Optimization Method for Unconstrained Optimization |
Rubinstein Eitan |
2006 |
MSc |
Abstracts |
Support Vector Machines via Advanced Optimization Techniques to Robust Optimization |
Polonsky Alexey |
2005 |
MSc |
Abstracts |
EEG/MEG Source Localization Using Spatio-Temporal Sparse Representations |
Bronstein Alexander |
2005 |
MSc |
Abstracts |
Blind Deconvolution using Relative Newton Algorithm and Learnable Sparse Representations |
Cherkassky Stanislav |
2004 |
MSc |
Abstracts |
List-Mode 3D Pet Reconstruction Using Bundle-Mirror Optimization with Subsets |
Cohen Sarit |
2005 |
MSc |
Abstracts |
Improvement of Spatial Resolution of Source Estimation of Brain Activity Using Blind Source Separation |