# PhD and MSc Theses

### PhD and MSc Theses, since 1988

Advisor | PROF. Ron Meir |
---|---|

Advisor’s Email | rmeir@ee.technion.ac.il |

Advisor’s Home-Site | http://ronmeir.net.technion.ac.il/ |

No of theses | 59 |

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 |

Freirich Dror | 2023 | PhD | Abstracts | A Distributional Perspective on Learning, Estimation and Control |

Teichner Ron | 2023 | PhD | Abstracts | Unsupervised Learning for System Identification: Theory and Algorithms |

Amit Ron | 2023 | PhD | Abstracts | Knowledge Transfer in Machine Learning: Theory and Algorithms |

Epstein Baruch | 2020 | PhD | Abstracts | Learning and Prior Knowledge about Structure: Theroy and Applications |

Harel Yuval | 2019 | PhD | Abstracts | Optimal Encoding of Dynamic Stimuli in Sensory Neural Populations |

Soudry Daniel | 2013 | PhD | Abstracts | Neurons: from Biophysics to Functionality |

Trainin Ehud | 2012 | PhD | Abstracts | The Joint Action of Biomechanical and Neural Control in Determining Motor Behavior: A Computational Study |

Wallach Avner | 2012 | PhD | Abstracts | The Response Clamp: A Control Based Approach for the Study of Neural Systems; Method and Applications |

Di Castro Dotan | 2011 | PhD | Abstracts | Aspects of Actor Critic Learning: Theory and Experiments |

Peleg Dori | 2008 | PhD | Abstracts | Effective Optimization Procedures for Machine Learning Based on Data-Dependent Error Bounds |

Karniel Amir | 2000 | PhD | Learning Motor Control of Redundant Systems | |

Kanter Ayelet | 2008 | MSc | Abstracts | The Impact of Synaptic Depression on Up-Down States in Neural Networks :Dynamical Systems’ Persprctive |

Sandhaus Haggit | 2003 | MSc | Abstracts | Locating Activity Regions in the Brain Using Methods of Source Separation |

Michlin Maria | 1996 | MSc | Recognition of Handwritten Digits Via Neural Networks | |

Zeevi Assaf | 1996 | MSc | Mixture Based Functional Estimation | |

Osadchiy Ilya | 2023 | MSc | Abstracts | Online Meta-Learning in Adversarial Multi-Armed Bandits |

Peleg Amit | 2022 | MSc | Abstracts | Meta Learning in Linear Bandits |

Shimkin Izchak | 2022 | MSc | Abstracts | Exploration in Model-Based Reinforcement Learning with Stochastic Dynamics |

Peer Oren | 2022 | MSc | Abstracts | Using Ensembles for Reducing the Estimation Bias in Q-Learning Algorithms |

Silbak Jumana | 2021 | MSc | Abstracts | Geometric Analysis of the Dynamic Connectivity of Biological and Artifical Neural Networks |

Raveh Or | 2020 | MSc | Abstracts | Learning and Communication in a Multi-Agent Setup |

Linial Ori | 2020 | MSc | Abstracts | Generative ODE Modeling with Known Unknowns |

Avinu Maya | 2019 | MSc | Abstracts | Analyzing Neuronal Signals using Geometric Methods |

Harosh Omri | 2019 | MSc | Abstracts | Exploration in Continuous Domains using Pseudo-Counts |

Arad Eran | 2019 | MSc | Abstracts | Comparative Research of Algorithms for the Contextual Bandits Problem |

Eizner Yehoshua | 2018 | MSc | Abstracts | Reinforcement Learning as an Organizing Principle for Biological Navigation |

Abassi Ahmad Zaid | 2018 | MSc | Abstracts | Lower-Dimensional Representation: Compression, Faithfulness and Relevance |

Hazan Alon | 2017 | MSc | Abstracts | Learning an Attention Model Artificial in an Visual System |

Yaacoby Eyal | 2017 | MSc | Abstracts | Efficient Exploration for the Bandit Multiclass Problem |

Horon Reuven | 2016 | MSc | Abstracts | Reverse Engineering of Recurrent Neural Networks – 3 test cases |

Katz Shahar | 2015 | MSc | Abstracts | A Bayesian View of Spontaneous Neural Activity as an Internal Representation of the Environment – a Neural Network Model |

Dordek Yedidyah | 2015 | MSc | Abstracts | From Place-Cells to Grid-cells: A Trip between Dimensions |

Even-Chen Nir | 2014 | MSc | Abstracts | Intrinsic Modeling of Repetitive Time Series with Applicarion for Analysis of Event-Related Potentials |

Zananiri Rani | 2013 | MSc | Abstracts | Optimal Encoding in Sensory Systems |

Tamar Aviv | 2011 | MSc | Abstracts | Integrating Partial Model Knowledge in Model Free RL Algorithms |

Avner Orly | 2010 | MSc | Abstracts | Spike Train Decoding of Analog Signals with a Biologically Inspired Encoding Scheme |

Yaeli Eran Steve | 2010 | MSc | Abstracts | Optimal Neural Encoding – Mathematical Foundations and Biological Implications |

Litichever Gil | 2009 | MSc | Abstracts | Multi Model Bayesian Reinforcement Learning |

Volkinshtein Dmitry | 2009 | MSc | Abstracts | On the Existence and Feasibility of a Forward Model in Motor Control |

Bobrowski Omer | 2008 | MSc | Abstracts | Real Time Spike Train Decoding by Neural Networks |

Aizenshtark Boaz | 2007 | MSc | Abstracts | On the Performance of Echo State Networks |

Di Castro Dotan | 2007 | MSc | Abstracts | Population Behavior of Neuronal Networks |

Baras Dorit | 2006 | MSc | Abstracts | Direct Policy Search in Reinforcement Learning and Synaptic Plasticity in Biological Neural Networks |

Zingman Igor | 2006 | MSc | Abstracts | Analysis and Classification of Tissue Section Images |

Lebanony Eyal | 2005 | MSc | Abstracts | Time Series Modeling using Bayesian Networks |

Desyatnikov Ilya | 2005 | MSc | Abstracts | Error Correcting Codes and Performance Bounds for Multi- Category Classification |

Azran Arik | 2004 | MSc | Abstracts | Data Dependent Risk Bounds and Algorithms for Hierarchical Mixture of Experts Classifiers |

Benjo Shimon | 2004 | MSc | Abstracts | Performance Analysis for Mixture Classifiers using Local Methods |

Leifman George | 2003 | MSc | Abstracts | Determining the Similarity of Three-Dimensional Objects using Relevance Feedback |

Rudyk Eduard | 2003 | MSc | Abstracts | On Role of Recurrent Inhibition in Low-Level Motor Control |

Kisler Rachel | 2003 | MSc | Abstracts | Spatial-Spectral Sampling Technique for Color Images |

Weltsch-Cohen Yariv | 2002 | MSc | Abstracts | AGC Models for Signal Processing in the Primary Visual Cortex |

Guttman Omri | 2001 | MSc | Classification Using Projections onto a Single Dimension | |

Ben David Shay | 1999 | MSc | Time Series Modeling Using Mixtures of Experts | |

Bar-Sella Ran | 1997 | MSc | Aspects of Finite Codebook Vector Quantizer Design Assessment | |

Pisarevski Felix | 1996 | MSc | Comparative Study on Non Linear Time Series Prediction Methods | |

Wirsansky Eyal | 1996 | MSc | Creating Modular Neural Networks Using Genetic Algorithms | |

Shimron Efrat | 2009 | MSc | Abstracts | A Model for “What” and “Where” Information in the Cortex |