About

Ancha Xu is a Professor of Statistics and Ph.D. supervisor at Zhejiang Gongshang University. His research interests include degradation data analysis and modeling, Bayesian online learning, objective Bayesian methods, and lifetime data analysis. He has published more than 60 SCI papers as first or corresponding author in leading reliability and statistics journals, including Naval Research Logistics, Scandinavian Journal of Statistics, Journal of Quality Technology, European Journal of Operational Research, IEEE Transactions on Reliability, and IISE Transactions, with 6 ESI Highly Cited Papers. He has served as principal investigator on more than ten projects funded by the National Natural Science Foundation of China and by provincial agencies. His honors include the Zhejiang Provincial Natural Science Award, the Fujian Provincial Natural Science Award, and the National Award for Statistical Science and Technology Progress. He was selected for Zhejiang’s Academician–Expert Mentoring Program for Young Talent and the Zhejiang High-Level Talent Special Support Program (Young Talent in Education). He currently serves as Vice Chair of the Reliability Society of the Operations Research Society of China, standing council member of the Reliability Engineering Society and the Big Data Statistics Society of the Chinese Association for Applied Statistics, and Associate Editor of Statistical Theory and Related Fields.

Education Link to heading

Sep 2006 – Jun 2011
Ph.D. in Probability and Mathematical Statistics, East China Normal University

Sep 2002 – Jun 2006
B.S. in Mathematics and Applied Mathematics, Central China Normal University

Appointments Link to heading

Jan 2021 – present
Professor and Ph.D. supervisor, School of Statistics and Data Science, Zhejiang Gongshang University

May 2020 – Dec 2020
Associate Professor, School of Statistics and Data Science, Zhejiang Gongshang University

Dec 2013 – Apr 2020
Associate Professor, College of Mathematics and Physics, Wenzhou University

Jul 2011 – Nov 2013
Lecturer, College of Mathematics and Physics, Wenzhou University

Visiting positions Link to heading

Oct 2017 – Apr 2018
Research Fellow, National University of Singapore

Jun 2014
Visiting scholar, National Central University and National Tsing Hua University, Taiwan

Sep 2010 – Mar 2011
Visiting scholar, University of Missouri–Columbia, USA

Book Link to heading

Stochastic Degradation Processes and Statistical Modeling
Ancha Xu, Yincai Tang, and Liangliang Zhuang
Science Press, Beijing, December 2025
Selected for the Statistics and Data Science book series

Cover of Stochastic Degradation Processes and Statistical Modeling

Awards Link to heading

  • Third Prize, Zhejiang Provincial Natural Science Award (2023)
    Small-sample theory and methods for reliability assessment
    Contributors: Ancha Xu, Piao Chen, Bingxing Wang, Yincai Tang
  • Third Prize, Fujian Provincial Natural Science Award (2022)
    Lifetime assessment methods and optimal design for highly reliable products with small samples
    Contributors: Qiang Guan, Yincai Tang, Ancha Xu
  • Third Prize, First National Award for Statistical Science and Technology Progress
    Exact small-sample reliability assessment and process control for skewed distributions
    Contributors: Bingxing Wang, Baocai Guo, Ancha Xu
  • SRSE 2024 Best Paper Award
    The 6th International Conference on System Reliability and Safety Engineering
  • Best Poster Award
    2011 International Workshop on Objective Bayesian Methodology

Honors Link to heading

  • Outstanding Mentor Award, Zhejiang Gongshang University (2025)
  • Outstanding Mentor Award, Wenzhou University (2015)
  • Zhejiang Academician–Expert Mentoring Program for Young Talent (2025)
  • Zhejiang High-Level Talent Special Support Program, Young Talent in Education (2025)
  • High-Level Leading Talent, Zhejiang University Leading Talent Program (2022)
  • Young and Middle-Aged Academic Leader of Zhejiang Universities (2017)
  • Outstanding Doctoral Dissertation, East China Normal University (2011)
  • Outstanding Advisor for Student Scientific Innovation, Wenzhou University (2014)

Research grants Link to heading

Competitive grants (PI) Link to heading

  • Reliability assessment and Bayesian optimal design for multivariate skewed heavy-tailed degradation data
    NSFC General Program (72571246), Jan 2026 – Dec 2029
  • Key algorithms and theory for Bayesian online remaining useful life prediction of degrading systems
    NSFC General Program (12171432), Jan 2022 – Dec 2025
  • Key problems in competing-risks models
    NSFC General Program (11671303), Jan 2017 – Dec 2020
  • Optimal design methods for accelerated life tests with small samples
    NSFC Young Scientists Fund (11201345), Jan 2013 – Dec 2015
  • Theory and methods for remaining useful life prediction based on complex degradation models
    Zhejiang Provincial Natural Science Foundation Key Program (LZ24A010002), Jan 2024 – Dec 2026
  • Intelligent system reliability management and adaptive maintenance decision-making
    Provincial University Fundamental Research Fund (Major Project in Humanities and Social Sciences), Jul 2025 – Jun 2027
  • Construction of multivariate exponential dispersion processes and approximate Bayesian inference
    Provincial University Fundamental Research Fund (Major Project in Science and Technology), Jul 2023 – Apr 2025
  • Comprehensive evaluation and decision-making for firm operating efficiency under stochastic frontier models
    Zhejiang Philosophy and Social Science Planning Project (25ZSYS002YB), Jun 2026 – Jul 2026
  • Stochastic degradation processes and statistical modeling
    Zhejiang Philosophy and Social Science Planning Later-Stage Funding (26HQZZ012YB), Dec 2025 – Jun 2026
  • Approximate Bayesian inference for large-scale degradation monitoring data
    Zhejiang Philosophy and Social Science Planning Project (22JCXK09YB), Aug 2022 – Jul 2024
  • Bayesian reliability assessment of systems with masked data
    Zhejiang Provincial Natural Science Foundation (LY15G010006), Jan 2015 – Dec 2017
  • Bayesian assessment of the reliability of repairable masked systems
    China Postdoctoral Science Foundation (2015M572598), Sep 2015 – Sep 2016
  • Bayesian methods for reliability assessment of systems with masked data
    First-class funding, Shaanxi Postdoctoral Science Foundation, Sep 2015 – Sep 2016

Industry projects Link to heading

  • Small-sample reliability data analysis
    Huawei Machine Co., Ltd., Nov 2019 – Nov 2020
  • Core algorithms for reliability analysis (Weibull)
    Huawei Machine Co., Ltd., Jun 2019 – Jun 2020
  • Bayesian early-warning algorithms and applications
    Huawei Device (Dongguan) Co., Ltd., Sep 2018 – Sep 2019

Professional service Link to heading

  • Associate Editor, Statistical Theory and Related Fields, 2024–2029
  • Vice Chair, Reliability Society of the Operations Research Society of China (11th and 12th terms), 2022–2029
  • Standing Council Member, Reliability Engineering Society of the Chinese Association for Applied Statistics, 2021–2029
  • Standing Council Member, Big Data Statistics Society of the Chinese Association for Applied Statistics, 2024–2028

WeChat public account Link to heading

Reliability Statistics

QR code for the Reliability Statistics WeChat public account

Prospective students Link to heading

Applicants should have a strong background in mathematical derivation or scientific computing (R and Python). Candidates interested in M.S. or Ph.D. study may send a CV and transcript to xuancha@mail.zjgsu.edu.cn.