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My Graduate Students

Post-doctoral research students

 

Orit Rafaeli Center for Information in Agriculture – Mapping and Outline 2015-2017
Eilat Chen Levy Scientific Literacy and Accessibility to Science in the Negev Periphery 2017-2021
Yonit Rusho Knowledge sharing in crises 2019-2021
Ran Shneor Development and Implementation of Integrated Interfaces: Agrotechnology for Increasing Yield and Profitability of Tomato Growers in the Tekuma Region 2025-
 

Doctoral research students

Elan Sasson  Modeling an IT Assessment Framework Based on Text Mining and Bibliometrics. With N. Pliskin 2013
Yinon Nachson Social Network Methods to Identify Schizophrenia. With A. Peled M.D 2014
Reut Snir Global Nanotechnology Regulatory Governance from A Network Analysis Perspective. (Three-paper doctorate. Advisor on one paper of the three) 2015 
Lior Solomovitz Design and Implementation of Multicultural Communities of Practice for Professional Development of Teachers in Periphery. With A. Meir 2019
David Codish Personality and Gender Moderation Effects on Gamification 2019
Alon Bartal Analytical Study of Structure and Behavior in Online Large and Dynamic Communities: Understanding Social Influence 2019
Maya Stemmer Crowdsourcing Healthcare: Mining Health-Related Data from social media. With Y. Parmet 2023
Mor Atlas Development and Evaluation of Diffusion Models in Social Networks: The Intensity of Change and Connections. With A. Gavious 2023
Orli Weiser Data Analytics Competencies: Identification, Measurement, and Evaluation. With Y. Kalman 2024
Tomer Sagie Development of a Framework for Community Detection in Multiplex Dynamic Historical Networks. With D. Silberklang  

Master research students

Alon Bartal Link Prediction in Social Networks: Text Mining Versus Graph Theory 2008
Amit Polak Business Intelligence Systems for Knowledge Systems Processes. With A. Even 2012
David Codish Personality and Gender Moderation Effects on Gamification 2014
Liron Rosenfeld Free or Paid Apps. With L. Fink 2014
Nir Regev Mining Facebook Data to Produce Semantic and Associative Maps 2016
Mor Atlas Identify Waves of Job Turnover. With A. Gavious 2018
Herman Kantushov Distraction Detection Support Tool for Online Education 2020
Rotem Margalit Key Persons in Citation Networks 2020
Tomer Sagie Use of social network analysis (SNA) and a multiplex network analysis of Righteous Among the Nations to analyze rescue patterns of Jews during the Holocaust 2022
Roni Nakash Communication Styles Classification by using Natural Language Processing of Textual Communication 2022
Alon Wolf Diffusion of physical activity strength in networks 2023
Or Ben-Simon Games Addictions. With D. Codish 2023
Irit Neumann What do newspaper reporters know? With Z. Reich 2023
Shaked Avrahami Stock market prediction by social media resources 2024
Amit Malka Identify stress in corn fields by using satellites images with Y. Cohen 2024
Eviatar Rosenberg Covid-19 signals at Twitter. With Y. Parmet 2024
Tamir Bar Tov Metabolic Networks.  With R. Pozis 2024
Hadar Verthaim Machine Learning for Cotton Yield Prediction using Multi-Temporal UAV Color Images. With V. Alchanatis 2024
Stav Dratwa Strategic Links Formation in Social Network Analysis 2024
Maya Breslauer Polarization in Israeli Politics Twitter Network 2024
Peleg Eliyahou Retweets diffusion 2024
Daniel Navry Diabetes identification on Twitter. With Y. Parmet 2024
Guy Niran Recovering the Modus Operandi of a Sharp Power Campaign. With O. Tsur 2025
Miriam Moskovitz Identifying Key Researchers in Academic Fields Through Citation Networks 2025
Avraham Atanelov Developing a Learning System for Crop Classification and Mapping in Israel Using Satellite Remote Sensing. With T. Paz-Kagan 2025
Noa Gerson-Golan Monitoring Crop Field Functionality: A Learning System Utilizing Sentinel-2 Satellite  
Shachar Lavian How to Trigger Public Figures’ Engagement in Social Media. With A Bartal 2025
Paz Arad Real-Time Monitoring and Prediction of Fruit Cracking and Effects of Different Irrigation Regimes on Fruit Cracking in Grape Wine  
Alon Rozenbaum Scaffolding Creativity: How Divergent and Convergent LLM Personas Shape Human Machine Creative Problem-Solving  
Or Chen Development and Evaluation of Methods For Automatic Identification of Key Information Elements From R&D Agricultural Reports  
Ron Azran Machine Learning for Cotton Yield Prediction using Multi-Temporal UAV Color Images. With V. Alchanatis  
Yuval Melamed Anaylzied Attributes of Basic Structures In Hebrew Wikipedia And Their Relationship To Page Quality And Writing.  
Snir Tasa Identification of Almond Blossom Phenological Stages via Drone-Based Image Analysis using Computer Vision snd Artificial Intelligence. With T. Paz-Kagan  
Michael Mor Yosef
Identifying Trees and Tree Canopies Area from Aerial Images Using Image Processing And Machine Learning Methods. With Y. Cohen