Students

Master Students

2018-2021: Asaf Fux, Objective Assessment of ADHD-like Behavior in Dogs using Machine Learning.
2019-2022: Tom Menaker, Clustering in Animal Behavioral Data.
2019-: Nareed Farhat, Automated Behavior Analysis for Veterinary Neurology.
2021-: Tali Shitrit (OU), Explainable Deep Learning for Dog Emotion Classification.
2021-: Ariel Oren, Multi-modаl Automated Behavior Analysis.
2021-: Daniel Oren, AI for Brazilian Muruquis Conservation.
2021-: Lital Soder, AI for monitoring ladybug behavior.
2021-: Liat Vichman (OU), Digital Support for Citizen Science in Animal Behavior Research.
2021-: Shai Elbaz, Automated Head Tilt Measurement in Dogs.

2011-2013: Lara Spendier, Automatic Support for Investigation of Non-Classical Logics (co-supervised with Prof. Agata Ciabattoni).
2015-: Yotam Evron, Data Inaccuracy in Business Process Modelling (co-supervised with Prof. Pnina Soffer).
2020-: Alejandro Solares Rojas, Depth Bounded Logics (co-supervised with Prof. Marcello D'Agostino).
2021-: Marcelo Feighelstein, Automatic Recognition of Animal Emotional States (co-supervised with Prof. Ilan Shimshoni).
2022-: George Martvel, Landmark-Based Approaches in Animal Affective Computing (co-supervised with Prof. Ilan Shimshoni).