黃健，女，北京科技大學自動化學院自動控制研究所教師博士後。
人物經歷,研究方向,代表論著,
人物經歷
2009.09-2013.06華東理工大學信息科學與工程學院自動化學士
2013.09-2018.07華東理工大學控制科學與工程博士
2016.08-2017.08美國普渡大學（Purdue University）聯合培養博士研究生
2018.07-至今北京科技大學自動控制研究所教師博士後
研究方向
過程監測與故障診斷
多元統計
機器學習
代表論著
（1）Jian Huang, Xuefeng Yan*. Gaussian and non-Gaussian Double Subspace Statistical Process Monitoring Based on Principal Component Analysis and Independent Component Analysis．Industrial & Engineering Chemistry Research, 54（3）pp：1015-1027，2015
（2）Jian Huang, Xuefeng Yan*. Dynamic process fault detection and diagnosis based on dynamic principal component analysis, dynamic independent component analysis and Bayesian inference．Chemometrics and Intelligent Laboratory Systems, 148, pp:115-127,2015.
（3）Jian Huang, Xuefeng Yan*. Relevant and independent variable fault detection based on KPCA and SVDD. Journal of Process Control 39,pp：88–99，2016
（4）Jian Huang, Xuefeng Yan*. Angle-Based Multiblock Independent Component Analysis Method with a New Block Dissimilarity Statistic for Non-Gaussian Process Monitoring. Industrial & Engineering Chemistry Research, 55(17),pp:4997-5005，2016.
（5）Jian Huang, Okan K. Ersoy, and Xuefeng Yan*. "Slow feature analysis based on online feature reordering and feature selection for dynamic chemical process monitoring." Chemometrics and Intelligent Laboratory Systems 169,pp:1-11,2017.
