Samer Al-khateeb is an associate professor in the Department of Computer Science, Design and Journalism (CSDJ), specializes in the quantitative analysis of publicly available social media data related to topics such as deviance in social media, social cyber forensics, social bots, internet trolls, disinformation/misinformation, fake news, and cyber propaganda campaigns. He also has experience with qualitative analysis, such as directed and summative content analysis, e.g., topic modeling, toxicity, sentiments, and correlation analysis. His most recent research examines the use of social science theories to construct computer simulation models. He is currently working on a project to model the mob phenomenon by leveraging factors extracted from social science theories and deep learning. The project aims to develop a model that can simulate mobs to gain a deeper insight into the behaviors of those involved in the mob and to predict the outcome of such events.