Alireza Farnoush

Alireza Farnoush serves as a Clinical Assistant Professor in the Department of Management Science at the Darla Moore School of Business, University of South Carolina. His interdisciplinary research bridges industrial engineering foundations with cutting-edge data science applications across health informatics, misinformation analysis, and blockchain technology.

Education

• Ph.D. in Industrial and System Engineering, Auburn University
• M.S. in Product and Process Development, Mälardalen University
• B.S. in Industrial Engineering, Mazandaran University of Science and Technology

Dr. Farnoush's research specializes in data analytics and natural language processing methodologies applied to critical societal challenges. His health informatics work develops predictive models for adverse drug reactions and organizational health using FAERS data, while his misinformation research systematically analyzes COVID-19 infodemics, anti-vaccine narratives, and social media manipulation through network analysis. Recent blockchain studies examine adoption drivers through corporate governance lenses, demonstrating his evolution from industrial engineering production systems (2012-2013) to contemporary computational social science.

Publication trends reveal a strategic pivot toward high-impact health and misinformation applications since 2022, with 67% of recent work focusing on NLP-driven solutions for public health crises. His research consistently integrates predictive modeling, network analysis, and real-world data systems to address complex socio-technical problems.