School of Business Administration
Faculty/Staff Login
Nav Menu

Faculty Spotlight: Louie Ren

Louie Ren

Associate Professor of Quantitative Management Science

Phone: 832-842-2983

Brazos Hall 337 (Sugar Land)


Louie Ren

Dr. Luh Yu (Louie) Ren received his PhD in 1986 from the Department of Information System and Quantitative Science in the College of Business Administration at Texas Tech University with a major in Business Statistics and minors in Probability Theory and Operations Management. His dissertation focused on nonparametric statistics of applying ranks to the study of Multivariate Analysis of Variance Analysis (MANOVA).

Prior to joining the faculty in the School of Business at UHV, Dr. Ren taught in the College of Business Administration, Department of Management and Marketing, at Arkansas State University in Jonesboro.

Dr. Ren's primary research interest is in business forecasting, inventory management, and statistical quality control. His recent research is in the study of various accuracy measurements on forecasting errors, and the Estimation Theory with its applications. His research papers have been published in various referee journals such as the International Advanced Economic Research, International Journal of Business, Accounting and Finance, Journal of Global Business Development, Journal of American Academy of Business, and International Business and Economics Journal.

Dr. Ren is currently affiliated with the Decision Science Institute, an internationally recognized organization involved in the application of quantitative and behavioral methods.

Academic Background

  • PhD - Texas Tech University, Information System and Quantitative Science, 1986
  • MA - State University of New York at Buffalo, Statistics, 1982
  • MS - National Central University, Mathematics, 1978

Courses Taught at UHV

  • BUSI 3303 - Business Statistics
  • MGMT 3306 - Operations & Supply Chain Management
  • QMSC 6351 - Statistics and Research Methods

Honors and Achievements

  • 2003: Best Paper Award - Applied Business Research Conference