Research Output per year
Personal profile
Education/Academic qualification
PHD, Pennsylvania State University
… → 2002
MS, Florida A&M University
… → 1999
BE, Shanghai Jiaotong University
… → 1995
Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
Testing
Engineering & Materials Science
Accelerated Life Test
Mathematics
Design of experiments
Engineering & Materials Science
Degradation
Engineering & Materials Science
Accelerated Life Testing
Mathematics
Planning
Engineering & Materials Science
Product design
Engineering & Materials Science
Weibull distribution
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2000 2019
An adaptive two-stage Bayesian model averaging approach to planning and analyzing accelerated life tests under model uncertainty
Zhao, X., Pan, R., del Castillo, E. & Xie, M., Jan 1 2019, In : Journal of Quality Technology. 51, 2, p. 181-197 17 p.Research output: Contribution to journal › Article
Planning
Testing
Uncertainty
Model uncertainty
Bayesian model averaging
Comparing D-optimal designs with common mixture experimental designs for logistic regression
Mancenido, M., Pan, R., Montgomery, D. & Anderson-Cook, C. M., Apr 15 2019, In : Chemometrics and Intelligent Laboratory Systems. 187, p. 11-18 8 p.Research output: Contribution to journal › Article
Design of experiments
Logistics
Optimal design
Experiments
Acceleration factor for damp heat testing of PV modules
Bala Subramaniyan, A., Sinha, A., Pore, S., Gopalakrishna, H., Pan, R. & Tamizhmani, G., Jan 1 2018, New Concepts in Solar and Thermal Radiation Conversion and Reliability. Munday, J. N., Kempe, M. D. & Bermel, P. (eds.). SPIE, Vol. 10759. 107590BResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Degradation
modules
Heat
degradation
heat
A Copula-Based Multivariate Degradation Analysis for Reliability Prediction
Fang, G., Pan, R. & Hong, Y., Sep 11 2018, 2018 Annual Reliability and Maintainability Symposium, RAMS 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. 8463026Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Copula
Degradation
Prediction
Multivariate Models
Statistical Inference
1
Citation
(Scopus)
A nonparametric Bayesian network approach to assessing system reliability at early design stages
Lee, D. & Pan, R., Mar 1 2018, In : Reliability Engineering and System Safety. 171, p. 57-66 10 p.Research output: Contribution to journal › Article
Bayesian networks
Maintainability
Large scale systems
Projects 2005 2021
Preparing for the future: co-creating the entrepreneurial mindset through faculty and student development
Collofello, J., Pan, R., Bekki, J., Krause, S., Pendyala, R., Herrmann, M., Hjelmstad, K., Ozev, S., McKenna, A. & Kleim, J.
5/8/18 → 2/28/21
Project: Research project
Arizona State University: Industral Assessment Center
Villalobos, J., Pan, R., Bliss, D., Phelan, P. & Ye, N.
9/1/16 → 8/31/21
Project: Research project
Correlation of Qualification Testing with Field Degradation
8/1/16 → 7/31/18
Project: Research project
FY17: Arizona Alzheimer's Consortium Pilot Project - Nonlinear Dimension Reduction for Identifying Biomarkers from Brain Images
7/1/16 → 6/30/17
Project: Research project