Ohad Barzilay is a Recanati Business School faculty member in the area of technology management and information systems. He received the B.Sc. degree in computer science (cum laude) and mathematics, the M.Sc. degree in computer science (cum laude), and the PhD in computer science in the area of software engineering, all from the Tel Aviv University, Israel.
Dr. Barzilay's professional experience includes working in the industry for several hi-tech companies (recently Google), and lecturing for numerous academic institutes.
Ohad studies emerging models of online innovation and entrepreneurship. Together with his students, he looks at the dynamics of online communities, social networks, crowdsourcing, and crowdfunding. In his research, he uses state of the art techniques of Big Data, Machine Learning, Natural Language Processing, and econometric methods.
Ohad studies the authenticity of online information via tools of machine learning, anomaly detection and network analysis. This research aspires to uncover false contributions on crowd-based platforms such as crowdfunding websites, social networks and customer reviews.
Dr. Barzilay is also a member in the doctoral committee of Amitai Gilad's research. This work takes an analytic approach to investigate optimal strategy of resource allocation against cyber security threat on IT networks. The study uses economic perspective employing game theory as well as graph theory techniques. The novelty of this research lies in considering the cyber security challenge via the perspective of the network flow problem.