• Rotem Haba — Ph.D. Student
• David Levin — Ph.D. Student
• Danit Shifman-Abukasis — Ph.D. Student
• Tal Dvora — M.Sc. Student
• Yaniv Livertovsky — M.Sc. Student
• Gal Nir — M.Sc. Student
• Dor Zehavi — M.Sc. Student
• Adva Helman — M.Sc. Student
• Roei Michael — M.Sc. Student
• Yoni Newman — M.Sc. Student
• Yuval Kassif — M.Sc. Student
• Eden Barda— M.Sc. Student
• Noam Frei— M.Sc. Student

2024

• Noa Shprach — “Detecting immune cell states that indicate proximity to tumor cells through spatial genomics and learning algorithms”
  Joint supervision with Dr. Shahar Alon
• Aviv Gerasi — “Conformance checking between a process model and stochastic observation – Comparative analysis”
  Joint supervision with Prof. Izack Cohen
• David Levin, — "Graph-Based Automatic Feature Selection Method for Multi-Class Classification Problems"

2023

• Lior Rabkin — “A Hybrid Cost-Sensitive Machine Learning and Optimization Models to Minimize the Resource-Constrained Classification Problem Costs”
  Joint supervision with Dr. Ilan Cohen
• Danit Shifman-Abukasis — “An Adaptive Machine Learning Algorithm for the Resource-Constrained Classification Problem”
  Joint supervision with Dr. Izack Cohen

2022

• Rotem Haba — “A Remote and Personalised Novel Approach for Monitoring Asthma Severity Levels from EEG Signals Utilizing Classification Algorithms”
  Joint supervision with Dr. Anat Ratnovski
• Ohad Volk — “Adaptive Cost-Sensitive Learning Approach to Minimize Local Training-Test Class Distribution Mismatch”

2021

• Matan Marudi — “A Decision-Trees Based Approach for Ordinal Classification Problems”
  Joint supervision with Prof. Irad Ben-Gal

2019

• Dan Avrahami — “Using Machine Learning for Employees’ Recruitment & Placement”
  Informal joint supervision with Prof. Irad Ben-Gal

2009

• Berta Almozninos — “Optimal Stopping Problem: Dynamic Pricing of an Asset”
  Informal joint supervision with Prof. Evgeni Khmelnitsky