معرفی
Naijun Sha is an Associate Professor in the Department of Mathematical Sciences at the University of Texas at El Paso (UTEP). His research focuses on statistical models for survival/reliability analysis, Bayesian inference, multivariate dependence, discriminant analysis, and feature selection, with applications in biomedicine, bioinformatics, and engineering.
Education:
- Ph.D., Statistics, Texas A&M University, 2002
- M.S., Statistics, University of Texas at El Paso, 1997
- B.S., Mathematics, Fudan University, Shanghai, China, 1985
Research Interests:
- Classification and Clustering
- Variable Selection Techniques
- Reliability Analysis
- Bayesian Approaches
- Bioinformatics Applications
Sha has been recognized with prestigious awards including membership in Marquis Who's Who in America (2005-2012), Academic Keys Who's Who in Sciences Higher Education (2004), and Phi Kappa Phi (2001). His recent publications emphasize Bayesian methods for accelerated life testing, hybrid systems reliability, and statistical inference for complex distributions. He has contributed to interdisciplinary research, particularly in biomarker identification and high-dimensional data analysis.
Professional Affiliations:
- American Statistical Association
- Institute of Mathematical Statistics
