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Ph.D Students
Itay Niv
Graph Neural Networks
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Vivian Simon
The Transformative Impact of Generative Artificial Intelligence in HR Analytics
(Joint with Dr. Hila Chalutz-Ben Gal)
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Liat Kaufman Milo
Increasing medical imaging equipment utilization through ML integration in planning and arrival control
(Joint with Prof. Yossi Bukchin)
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M.Sc Students
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Daniel DeMio
Multi-scale regressions for change point detection
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Omer Hedvat
Filter based feature selection using fused metrics for multiclass classification tasks
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Ben Hen
Spatio-Temporal time series analysis
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Mor Abrutzky
An improved graph-based feature selection method
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Yaniv Leuchter
Data driven methods for improving the readiness of the national fire and rescue authority
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Lior Kaspa
Iterative regression ensembles for spatio-temporal forecasting
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Doron Almog
Wrapper feature selection methods for multi-class dataset
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Assaf Zadka
Estimating real-world step length from inertial measurement units using machine learning techniques
(Joint with Prof. Jeffrey Hausdorff)
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Maya Keren
Machine learning based back azimuth estimation
(Joint with Prof. Alon Ziv)
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Research Students
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Sama Balum
Estimating real-world step length with machine learning Techniques
(Joint with Prof. Jeffrey Hausdorff)
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B.Sc Students
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Tedy Vaysman
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Eran Tascesme
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Former Students
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Rafael Brzezinski (PhD 2022)
Non-invasive Thermal Imaging to Detect and Monitor Various Organ Specific Diseases
(Co-supervision with Prof. Jonathan Leor and Prof. Ehud Grossman from the Faculty of Medicine)
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Amit Shreiber (M.Sc. 2023)
Multi-scale and multi-directional modeling and analysis of high-dimensional datasets
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Daniel Ovadia (M.Sc. 2023)
Classification of EMG movements with advanced classification techniques
(Joint supervision: Dr. Alex Segal)
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Amit Yadid (M.Sc. 2022)
Sports Injury Prediction using Kernel Based Techniques
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Ido Muller (M.Sc. 2022)
Noninvasive Characterization of Palm Perfusion using Thermal Imaging and Machine Learning Techniques
(co-supervised with Dr. Zehava Blechman)
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Shir Friedman (M.Sc. 2022)
Geometric-Based Feature Selection
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Raphael Shuhendler (M.Sc. 2022)
AcousticRadioz: Dynamic artist-based radio using
Reference-based diffusion maps embeddings
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Itay Niv (M.Sc. 2022)
Seismic Signals Classification Based on Manifold Learning
(co-supervised with Dr. Yuri Bregman)
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Vivian Simon (M.Sc., 2021)
Identifying and Analyzing Gender Gaps in LinkedIn Profiles
(co-supervised with Dr. Hila Chalutz Ben-Gal)
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Alex Knish (M.Sc., 2021)
Thermal Heat Distribution Features for Hand Identification
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Lior Yaish (B.Sc., 2021)
Fusing Medical Records with Functional Assessment Questioners
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Tali Binder (B.Sc., 2020)
Recommendation and Classification of Accommodations using Data Mining Tools and Data Visualization.
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