Yifan Xie | Faculty Profiles

Diplomas/Degrees

Ph.D. in Industrial and Systems Engineering, Rutgers University (2024)

M.S. in Management Research, Rutgers Business School (2020)

M.S. in Economics and Finance, Universitat Pompeu Fabra, Barcelona, Spain (2018)

M.S. in Applied Urban Science and Informatics, New York University (2016)

B.S. in Statistics, University of Glasgow, Glasgow, United Kingdom (2015)

B.Econ. in Statistics, Zhongnan University of Economics and Law, Wuhan, China (2015)

Professional Experience

Adjunct Professor (2021-2024), Rutgers Business School, Piscataway, NJ.

Recent Courses

Advanced Business Analytics

Data Analysis And Decision Making

Optimization And Prescriptive Models

Statistical Methods

Courses Previously Taught

(RBS BAIT 287) Introduction to Business Analytics

(RBS BAIT 370) Management Information Systems

(RBS BAIT 385) Statistical Methods in Business

(RBS BAIT 386) Operations Management

(RBS BAIT 465) Enterprise Architecture

(RBS MSIS 340) Introduction to Business Research Methods

Research Interests

Methodology:

Advanced Machine Learning Techniques, Dimensionality Reduction, Optimization with Mixed Integer Programming, Predictive Analytics, and Time Series Analysis.

Applications:

Advanced Analytics in Business Intelligence, Financial Services, Healthcare, and Semiconductor Manufacturing.

Articles

He, J., Xie, Y., Song, X., & Ning, H. (2026). ". Engineering Applications of Artificial Intelligence, 176, 114755.

Xie ,Y., Wang, T., & Jeong, M. K. (2026). ". IEEE Transactions on Semiconductor Manufacturing.

Xie ,Y. & Tummala, S. P. (2025). ". Sensors, 25(23). 7294.

Xie ,Y., Wang, T., Kim, J., Lee, K., & Jeong, M. K. (2024). ". Annals of Operations Research, 1-27.

Wang, T., Xie, Y., Jeong, Y. S., & Jeong, M. K. (2024). Expert Systems with Applications 251, 123995

Xie, Y., Wang, T., Jeong, M. K., & Lee, G. T. (2024). . International Journal of Production Research, 62(17), 6344–6359.

Xie, Y., Wang, T., Jeong, Y. S., Tosyali, A., & Jeong, M. K. (2024). International Journal of Production Research, 62(6), 2142-2157.

Lidbetter, T., & Xie, Y. (2023). Theoretical Computer Science, 966, 114016.

Conference Presentations

Y. Xie. “Adaptive sparse PCA: enhancing interpretability and robustness in high-dimensional data”, 2024 INFORMS Annual Meeting, Seattle, WA, October 20-23, 2024.

Y. Xie, T. Wang, J. Kim, J. Lee, and M. K. Jeong. “Efficient Speed-Oriented Sparse PCA for Dimension Reduction”, INFORMS Annual Meeting, Phoenix, AZ, October 15-18, 2023.

T. Wang, J. Baek, Y. Xie, and M. K. Jeong. “Multi-Source Cross-Weight Ensemble Method for Virtual Metrology in Semiconductor Manufacturing”, INFORMS Annual Meeting, Phoenix, AZ, October 15- 18, 2023.

Y. Xie and T. Lidbetter, A Search and Rescue Game, LSE-Warwick Workshop on Search Games, London, United Kingdom, June 27-29, 2019.

Grants

Faculty Development Grant, 91吃瓜网, 2026–2027

Research and Creative Work Release, 91吃瓜网, 2027

Faculty Development Grant, 91吃瓜网, 2025-2026

Honors and Accomplishments

Bender Outstanding Paper Award (2025), Robert B. Willumstad School of Business, 91吃瓜网

Dean’s Meritorious Award for PTL Teaching in Recognition of Outstanding Teaching and Service Contributions (2022), Rutgers Business School, Rutgers University