Yaser Keneshloo

Yaser Keneshloo is a DAC Ph.D. student in the Department of Computer Science and his advisor is Naren Ramakrishnan.

Keneshloo’s research interest lies in forecasting domestic political crises in countries of interest, a useful tool for social scientists and policy makers. A wealth of event data is now available for historical as well as prospective analysis. Using the publicly available GDELT dataset, his research illustrates the use of frequent subgraph mining to identify signatures preceding domestic political crises and the predictive utility of these signatures through both qualitative and quantitative results.