Hi, I’m Chen Hajaj, a faculty member of the Industrial Engineering and Management department at Ariel University. 

My research activities are in the areas of Game Theory, Machine Learning, and Crowdsourcing. Specifically, the focus of my work is on the intersection of game theory and human decision-making (incentive design), and how to detect and robustify the weak-spots of AI methods (adversarial artificial intelligence).
The methods I develop include theoretical, economical, and computational analysis, in parallel with an algorithm development for implementing such mechanisms in practice. On top of that, I conduct an experimental evaluation with human subjects to asses the applicability of my developed methods to real-life scenarios.

I am looking for excellent prospective M.Sc. and Ph.D. students, that are interested in working on fascinating and applicable research problems. Interest, challenge, and great benefits are promised.

For more information, please see my CV and Google Scholar page.
You can also reach me via [chenha at ariel dot ac dot il]

Before joining Ariel University, I was a postdoc scholar at Vanderbilt University, hosted by Prof. Yevgeniy Vorobeychik. During this time, I was  happy to serve as a Data Science fellow at the Data Science Institute of  Vanderbilt University.

I earned my Ph.D. in Computer Science at Bar-Ilan University where I was lucky to have Prof. David Sarne and Prof. Avinatan Hassidim as my advisors.


  • Feb. 2019: Can’t travel to Canada? Come meet me at the 21st convention on Industrial Engineering, where I will give a talk about Adversarial Coordination on Social Networks.
  • Feb. 2019: Come meet me at the 6th day on Computational Game Theory (Potsdam, Germany), where I will contribute a talk on “Adversarial Randomized Task Assignment”.
  • Jan. 2019: Our paper on Adversarial Coordination on Social Networks has been accepted for publication in the proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019).