PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor ASSOCIATE PROF. Yael Yaniv
Advisor’s Email yyaniv@technion.ac.il
Advisor’s Home-Site http://www.bm.technion.ac.il/~yaely
No of theses 14
Department Biomedical Engineering
Department Web Site http://www.bm.technion.ac.il
Student’s Name Graduation Year Degree Abstracts Research Name
Samya Savyon 2024 PhD Abstracts Revealing the Coupled Clock System within Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes
Segal Sofia 2024 PhD Abstracts Compartmentalization of Ca+2 & Protein Kinase A Signaling in Heart Pacemaker Cells
Arbel Ganon Limor 2023 PhD Abstracts Mechano-Electrical Signal Transduction in Healthy and Dysfunctional Heart Pacemaker Tissue
Kirschner Peretz Noa 2022 PhD Abstracts Identifying the Role of Mitochondrial Ca2+ and cAMP/Protein Kinase A Signaling on the Crosstalk between Energy and Electrical Activities in the Atria
Rosenberg Aviv Avraham 2023 PhD Abstracts Statistical Methods and Machine Learning for Medical and Biological Applications
Shapira Rotem 2023 MSc Development of Algorithmic Tools to Improve Decision-Making during Childbirth
Shemla Ori 2022 MSc Abstracts Age-Related Pacemaker Deterioration Learned from SAN Tissue Electrograms
Rozen Rakefet 2021 MSc Abstracts Machine Learning Model based on Innovative, Mechanobiology Assay for Patient-Specific Prediction of Metastatic Risk
Kamoun David 2018 MSc Abstracts Quantifying Mitochondrial 3D-Deformations in Cardiomyocytes to Assess the Structural Anisotropy and Energetics State
Gliner Vadim 2018 MSc Abstracts Mobile Application Embedded with Novel Real Time R Peak Detector for Patients with Atrial Fibrillation
Rosenberg Aviv Avraham 2018 MSc Abstracts Non-Invasive In-Vivo Analysis of Intrinsic Clock-Like Pacemaker Mechanisms: Decoupling Neural Input Using Heart Rate Variability Measurements
Segal Sofia 2018 MSc Abstracts The Effect of Eliminating Contraction on Preserving Pacemaker Cell Morphology and Function in Culture
Kirschner Peretz Noa 2017 MSc Abstracts Designing a Culture System for Sustaining Bioelectric, Biophysical and Bioenergetic Atrial Functions
Elul Yonatan 2020 MSc Abstracts Applied Artificial Intelligence for Medicine – A Deep Learning Framework for Diagnosis of Cardiac Arrhythmia