Rong Liu

Rong Liu is an Associate Professor at the School of Business, Stevens Institute of Technology, specializing in Information Systems and FinTech. His research focuses on Blockchain, Deep Learning, Text Mining, and Business Process Management. Prior to Stevens, he was a Research Staff Member at IBM T.J. Watson Research Center (2006–2017). Liu holds a PhD in Information Systems from Penn State University (2006).

Research Interests
Liu’s work integrates AI and business analytics to address challenges in finance, healthcare, and operations. Key areas include blockchain applications in supply chains, ethical AI in hiring, misinformation detection, and predictive modeling for fraud and litigation. His methodologies combine deep learning with theory-driven approaches, emphasizing interpretability and real-world impact.

Recent Trends in Publications
His recent work explores large language model (LLM) applications in healthcare (e.g., drug shortage prediction), financial decision-making systems, and ethical compliance in job advertisements. He also investigates blockchain’s role in supply chain transparency and open-source development’s impact on ICOs.

Awards & Recognition
Liu has received awards including the Bright Idea Award (New Jersey Business Faculty, 2020) and multiple best paper awards at ICIS, WITS, and INFOCOM conferences. His work on supply chain event management (2007) was recognized with a Best Paper Award at the Business Process Management Conference.

Service & Teaching
He serves on academic committees at Stevens and reviews for top journals like MIS Quarterly and Production and Operations Management. Courses taught include Web Mining, Deep Learning for Business Analytics, and Large Language Models in Finance.