Rate My Professor Jen Tang

Jen Tang is a Professor of Management in the Quantitative Methods area at Purdue University’s Mitch Daniels School of Business. He earned his Ph.D. in Mathematical Statistics from Bowling Green State University in 1981 and his B.S. in Business Mathematics from Soochow University in 1973. Before joining Purdue as an Associate Professor in 1991, he was an Assistant Professor in the Department of Mathematics, Statistics, and Computer Science at Marquette University from 1981 to 1984 and a Member of Technical Staff at Bell Communications Research from 1984 to 1991. He was promoted to Full Professor in 1999 and has since made significant contributions to applied statistics, statistical quality control, reliability analysis, bootstrap methods, statistical process control, data mining, and degradation tests.

Professor Tang has authored 45 articles in prestigious journals, including the Journal of the American Statistical Association, IEEE Transactions on Reliability, European Journal of Operational Research, IIE Transactions, and Naval Research Logistics. Notable publications include “Clustering High-Dimensional Noisy Categorical Data” (2024, with Z. Tian and J. Xu), “Two-Stage Latent Variable Estimation Procedure for Time-Censored Accelerated Degradation Test” (2017, with M.Y. Lee and C.H. Hu), “Optimal Design for Accelerated Degradation Tests for Wiener Degradation Processes with Time-Censoring” (2015, with M.Y. Lee and C.H. Hu), “Equivalent Step-Stress Accelerated Life Tests with Log-Location-Scale Lifetime Distributions under Type-I Censoring” (2015, with C.H. Hu and R.D. Plante), and “Minimum Cost Allocation of Quality Improvement Targets under Supplier Process Disruption” (2013, with W. Wang and R.D. Plante). His work has advanced methodologies in step-stress accelerated life tests, quality improvement, and multivariate process control. Professor Tang has received the Jay N. Ross Young Research Scholar Award (1992), Best Professor in a Core Course Award (2011, MBA Class of GISMA/Leibniz University/Purdue), AlliedSignal Excellence in Teaching Award (1997), Honeywell Manufacturing Management Excellence in Teaching Award (2000), and multiple Krannert Summer Research Awards. He has served on editorial boards for IIE Transactions (1996-2001) and Production and Operations Management (2000-present), chaired numerous Ph.D. dissertations, developed courses such as Business Statistics, Data Mining, and Business Analytics, and consulted for companies including AT&T, Eli Lilly, and Corning Glass.