Open research positions

Excellent curious and creative M.Sc and Ph.D students with a strong mathematical background and programming skills are welcome to contact me.

Graduated Students (M.Sc and Ph.D):

• Noa Shprach, “Detecting immune cell states that indicate proximity to tumor cells through spatial genomics and learning algorithms”. Graduation 2024 (joint supervision with Dr. Shahar Alon).
• Aviv Gerasi, “Conformance checking between a process model and stochastic observation – Comparative analysis”. Graduation 2024 (joint supervision with Prof. Izack Cohen).
• Lior Rabkin, "A Hybrid Cost-Sensitive Machine Learning and Optimization Models to Minimize the Resource-Constrained Classification Problem Costs". Graduation 2023 (joint supervision with Dr. Ilan Cohen).
• Danit Shifman-Abukasis, “An Adaptive Machine Learning Algorithm for the Resource-Constrained Classification Problem”. Graduation 2023 (joint supervision with Dr. Izack Cohen).
• Rotem Haba, “A Remote and Personalised Novel Approach for Monitoring Asthma Severity Levels from EEG Signals Utilizing Classification Algorithms”. Graduation 2022 (joint supervision with Dr. Anat Ratnovski).
• Ohad Volk, “Adaptive Cost-Sensitive Learning Approach to Minimize Local Training-Test Class Distribution Mismatch”. Graduation 2022.
• Matan Marudi, “A Decision-Trees Based Approach for Ordinal Classification Problems”. Graduation 2021 (joint supervision with Prof. Irad Ben-Gal).
• Dan Avrahami, “Using Machine Learning for Employees’ Recruitment & Placement”. Graduation: 2019 (informal joint supervision with Prof. Irad Ben-Gal).
• Berta Almozninos, “Optimal Stopping Problem: Dynamic Pricing of an Asset”.  Graduation: 2009 (informal joint supervision with Prof. Evgeni Khmelnitsky).

Students

• Roei Michael, 2024 [MSc student]
• Yoni Newman, 2024 [MSc student]
• David Levin, 2023 [PhD Student]
• Danit-Shifman-Abukasis, 2023 [PhD Student]
• Yuval Kassif, 2023 [MSc Student]
• Rotem Haba, 2023 [PhD Student]