• Focused research on the application of outlier detection methods on credit card fraud detection. • Build a detection method that is feasible for non-linear, high-dimensional data, by using the ensemble method model, which combines five different expert models: modified version of the standard k-NN methods, Random Forest, and Joint Probability approaches, Local Correlation Integral and Learned Probability Distribution.

* Second Author of Academic Paper "Impact of Factor Model On Systemic Risk Measure" * Applied factor models to model Systemic Risk measure. Examined the predictability and robustness according to different parameters