Dr. Iliev studies political behavior and attitudes, particularly in textual data, using advanced statistical methods. His work combines various methodologies such as Bayesian time series, natural language processing, and dynamic clustering. He has developed various algorithms that deal with pattern recognition, text processing, and data visualization. He is currently working on a novel algorithm for the analysis of Arabic in social media with the aim to quantify the attitudes of Arab political and religious leaders, and assess the political network structures between leaders and their followers. These dynamic political networks are then linked with various terror events. He is working on a number of projects researching various aspects of terrorism, social unrest, political networks, and others. He received his PhD in Political Science from the University of Texas at Dallas.