Rate My Professor Jen Tang

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.