Agent-based modelling and Social Network Analysis
Social Computing particularly on data mining tweets, blogs, social networking sites for disaster events.
Research fellow at the Agricultural Economics and Policy Group at ETH Zurich.
My profound interest in networks convinced me to work in these subjects and start my master project on an application of social network analysis for detecting organized fraud in Automobile insurance, which helps to flag groups of fraudsters. The key point of this project is simply to find fraudulent rings, while the most of traditional methods have only taken opportunistic fraud into consideration. My duty in research is to design an algorithm for identifying cyclic components, then to be compared with theoretical ones. This project showed me how networks are used in the analysis of relations.
Agent Based Modeling (ABM), Agent Based Social System (ABSS), Multi-Agent Systems (MAS), Bayesian learning, Social networks Analysis (SNA), Socio ecological Dynamics.
Archaeological Simulation of Social Interactions, mainly between hunter gatherers societies.