معرفی
Dan Zhu is a Professor of Supply Chain and Information Systems at Iowa State University. His research spans interdisciplinary areas including data mining, healthcare analytics, fraud detection, software engineering, and information systems. He holds a courtesy professorship and actively contributes to advancing methodologies in supply chain management and technical debt analysis.
Research interests focus on leveraging data-driven approaches to solve real-world problems in healthcare, fraud prevention, and software quality. His work integrates machine learning, statistical modeling, and domain-specific knowledge to address challenges in both academic and industrial contexts.
Key contributions include studies on hybrid creative learning spaces, imbalanced classification models, and technical debt identification. His publications reflect a strong emphasis on practical applications, such as fraud detection in health insurance and predictive analytics in agile software development.
Zhu has no listed awards but maintains an active publication record across journals and conferences. His research often intersects with organizational memory management, recommendation systems, and electronic medical records.
