Research:

My research examines the manner in which solutions are inferred, as well as the manner of thought and methods experts apply in the solution of various problems. It should be noted that my objective is the inference of a manner of thought rather than an explicit method for solving a particular problem. A specific domain which I am interested these days is the approaches and decisions of data-scientists when they analyze data and develop predictive models.

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Another area of research I am concerned with focuses on domains in which people are required to cooperate and negotiate with respect to the use of various resources with an emphasis on the development of real-world algorithms (e.g. profit-sharing in inter-company cooperation settings, room allocation and rent-sharing among housemates, the formation of government coalitions, etc.) that are concerned with the issue of the “human in the loop”.

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More specifically, this research combines theoretical game theory solution concepts with machine learning techniques for predicting human behaviors. In addition, I develop intelligent agents that maximize revenues in various domains. Furthermore -- and importantly -- both are carried out with a particular emphasis on (human) user satisfaction with the algorithms' outcomes.