PhD and MSc Theses
PhD and MSc Theses, since 1988
Student’s Name |
Graduation Year |
Degree |
Abstracts |
Research Name |
Davoodi Moran |
2024 |
PhD |
Abstracts |
Heart Rate Variability: Applications in Security |
Weiss Tomer |
2024 |
PhD |
Abstracts |
Deep Learning Approaches for Inverse Problems in Computational Imaging and Chemistry |
Rozenberg Eyal |
2024 |
PhD |
Abstracts |
Reduced-Supervision and Ab-Initio Machine Learning Approaches with Applications to Quantum Physics and Medicine |
Rosenberg Aviv Avraham |
2023 |
PhD |
Abstracts |
Statistical Methods and Machine Learning for Medical and Biological Applications |
Boyarski Amit |
2022 |
PhD |
Abstracts |
Geometry In Numerical Algorithms |
Baskin Chaim |
2021 |
PhD |
Abstracts |
Designing Deep Neural Networks for Efficient and Robust Inference |
Alfassy Amit |
2023 |
PhD |
Abstracts |
LWLD: Learning with Less Data, like Humans Do |
Chmiel Brian |
2023 |
PhD |
Abstracts |
Resource Efficient Training and Inference in Deep Neural Networks |
Yehishalom Nitsan |
2024 |
MSc |
Abstracts |
Exploring the Role of Synonymous Genetic Coding in Shaping the Local Protein Backbone Structure |
Klein Roi Itzhak |
2023 |
MSc |
Abstracts |
High Frequency Data-Driven Evapo Transpiration Estimation from Remote Multimodal Imagery |
Serussi Gabriele |
2024 |
MSc |
Abstracts |
Active Propulsion Noise Shaping for Multi-Rotor Aircraft Localization |
Hirshberg Tom |
2023 |
MSc |
Abstracts |
Sound Source Modeling of Multi-Rotor in Free Space and Indoors Towards Acoustics-Based Indoor Localization |
Ackerman Schraier Lynore |
2023 |
MSc |
Abstracts |
A Machine Learning Exploration of Relations between Protein Structures and their Genetic Coding |
Schmidt Maria |
2022 |
MSc |
|
From Image Completion with Untrained Learning Towards Matrix Completion with Geometric Learning |
Finkelshtein Ben |
2022 |
MSc |
Abstracts |
Robustness and Rotation Equivariance in Geometric Deep Learning |
Dahary Omer |
2022 |
MSc |
Abstracts |
Digital Gimbal: End-to-End Deep Image Stabilization with Learnable Exposure Times |
Diamant Nir |
2022 |
MSc |
Abstracts |
Improving Real-World Data Generation using Adversarial Sim2Real Models |
Zadok Dean |
2022 |
MSc |
Abstracts |
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation |
Botach Adam |
2022 |
MSc |
Abstracts |
End-to-End Referring Video Object Segmentation with Multimodal Transformers |
Livne Amir |
2022 |
MSc |
Abstracts |
How to Avoid Depth Reconstruction in 3D Vision Tasks: Do We Need Depth in State-Of-The-Art Face Authentication |
Zheltonozhskii Evgenii |
2022 |
MSc |
Abstracts |
Reducing Supervision in Visual Recognition Tasks |
Elul Yonatan |
2020 |
MSc |
Abstracts |
Applied Artificial Intelligence for Medicine – A Deep Learning Framework for Diagnosis of Cardiac Arrhythmia |
Vedula Sai Sanketh |
2020 |
MSc |
|
Learning-Based Design of Ultrasound Imaging Systems |
Zur Yochai |
2019 |
MSc |
Abstracts |
Differentiable Neural Architecture Search with an Arithmetic Complexity Constraint |
Hasson Idan |
2019 |
MSc |
Abstracts |
Acquisition and Prediction of Gestures’ Surface EMG Data Using Sequential Deep Learning Methods |
Blau Itshak |
2024 |
MSc |
Abstracts |
Threat Model-Agnostic Adversarial Defense using Diffusion Models |
Amrani Elad |
2022 |
MSc |
Abstracts |
Self-Supervised Multimodal Learning using Unlabeled Videos |
Senouf Ortal |
2019 |
MSc |
Abstracts |
Improving Ultrasound Imaging with Deep Neural Networks |