معرفی
Weiguo Fan is a Professor and the Henry B. Tippie Excellence Chair in Business Analytics at the Tippie College of Business, University of Iowa, where he also serves as Faculty Director of the Tippie Analytics Cooperative. He earned his Ph.D. in Information Systems from the University of Michigan and has built a distinguished career in business analytics, AI, and data science. Previously, he was a professor at Virginia Tech, where he co-founded the Center for Business Intelligence and Analytics.
His educational background includes:
- BEng in Information and Control Engineering, Xi’an Jiaotong University
- MS in Computer Science, National University of Singapore
- PhD in Business Administration/Information Systems, University of Michigan, Ann Arbor
Dr. Fan's research focuses on AI, natural language processing, machine learning, and social media analytics, with applications in business intelligence, healthcare, financial auditing, and digital innovation. He has pioneered the use of text analytics in financial risk assessment and product quality discovery, with his work featured in the New York Times and other media outlets.
The 15 most recent publications reflect a strong trend in leveraging AI and data science for business decision-making, particularly in e-commerce, social media, healthcare, and knowledge management. His work frequently appears in top journals such as MIS Quarterly, Information Systems Research, and Production and Operations Management, demonstrating sustained impact across information systems, operations, and computer science domains.
His scientific honors include:
- 7 ESI Highly Cited Papers
- Design Science Award, INFORMS (2017)
- Multiple Best Paper Awards (2017, 2020, 2022)
- Master of Business Analytics Instructor of the Year (2020, 2021)
- Nominee, INFORMS Workshop on Data Science Best Paper (2022)
Dr. Fan has advised over 10 PhD students, many of whom now hold positions at top tech companies like Google, Amazon, and Microsoft, or in academia. His research has been funded by ARPA-H, NSF (five grants), PwC, KPMG, and MeritData. He has served as Associate Editor for several top journals, including MIS Quarterly, Information Systems Research, and Information & Management.
He leads the Tippie Analytics Cooperative, a research and outreach initiative that bridges academic analytics with industry applications. His ongoing projects include healthcare analytics, adverse event detection, crowdfunding success prediction, and capital market research using text analytics.
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