Professor Mousavi has expertise in artificial intelligence (AI) and business analytics. His research topics are related to the societal impacts and economics of social media, AI and business analytics, user-generated content, and healthcare information systems. He uses machine learning, deep learning, and natural language processing (NLP), along with econometrics, to identify quasi-experimental settings and study the underlying relationships among the constructs of interest. Professor Mousavi’s work has appeared in Information Systems Research; Journal of Management Information Systems; and Journal of the Association for Information Systems. His work has been presented at international and national conferences such as CIST, WITS, WISE, ICIS, HICSS, and AMCIS. He won the best paper award (research in progress) at AMCIS.
Professor Mousavi has taught advanced AI and business analytics, research methods, computer programming, and project management at the undergraduate, graduate, and doctorate levels. Professor Mousavi has worked with leading consulting firms on a variety of data science projects. He was also Lead Data Scientist at State Farm Insurance Co. before joining academia.