Dr. Mohammad Mohammadi is a postdoctoral researcher in the EVICT project. He defended his Ph.D. dissertation on the ‘Novel techniques of computational intelligence for analysis of astronomical structures’ on the 25th of January 2022. His dissertation is about developing and applying new techniques for analyzing big data.
As a machine learning researcher, Mohammad uses Machine Learning techniques to analyze data within the EVICT project. He applies interpretable models to uncover hidden patterns, such as the effect of different predictors on the decision-making process of a model. Moreover, he performs network analysis methods to study legal citation networks.