个人简介
2000.09-2004.06 浙江大学 本科
2004.09-2009.06 浙江大学 博士
2009.06-2011.04 浙江大学 博士后
2013.12-2014.12 University of Alberta 访问学者 （国家留学基金委资助）
2017.3-2017.7 Abo Akademi University 访问学者 （浙江省151人才出国项目资助）
2019.1-2019.3 University of New South Wales 访问学者
在研课题
国家重点研发计划项目课题（课题一负责人）新型检测监测传感器与智能数据采集终端研发主持，318万
国家重点研发计划项目子课题石化装置典型动设备质量检测及状态监测技术研究主持，51万
国家自然科学基金面上项目融合过程定性知识的贝叶斯故障分离与诊断研究主持，62万
企业横向课题（鸿雁电器）智慧家庭网络互联互通协议的研究主持，70万元
企业横向课题（中化兴中石油转运）基于无线传感网络的灌顶温度在线监测技术与装置研制主持，46.5万元
获奖情况
中国仪器仪表学会科学技术进步奖二等奖
浙江省科技进步三等奖
入选浙江省151人才工程第三层次，浙江省高等学校中青年学科带头人
主持完成的科研项目
国家自然科学基金青年项目基于非参数统计检验的早期故障检测研究主持，结题
浙江省自然科学基金面向高效清洁生产的复杂工业过程软测量建模研究主持，结题
近期论文
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2020年：
1. Xiaobin Xu, Zhuochen Yu, Jiusun Zeng*, Wanqi Xiong, Yanzhu Hu, Guodong Wang. A Bayesian Belief-Rule-Based Inference Multivariate Alarm System for Nonlinear Time-Varying Processes. SCIENCE CHINA Information Sciences, in press.
2. Yi Liu, Jiusun Zeng*, Jie Bao, Lei Xie. A unified probabilistic monitoring framework for multimode processes based on probabilistic linear discriminant analysis. IEEE Transactions on Industrial Informatics, 2020, 16, 6291-6300.
3. Anni Ying, Jiusun Zeng*, Uwe Kruger, Shihua Luo, Lei Xie. Hierarchical density decompositions for abnormal event diagnosis in serially correlated non-Gaussian systems. Control Engineering Practice, 2020, 96: 104295.
4. Yi Liu, Jiusun Zeng*, Lei Xie, Xun Lang, Shihua Luo, Hongye Su. An improved mixture robust probabilistic linear discriminant analyzer for fault classification. ISA Transactions, 2020, 98: 227-236.
5. Hang Ouyang, Jiusun Zeng*, Yifan Li, Shihua Luo. Fault detection and identification of blast furnace
ironmaking process using the gated recurrent unit network. Processes, 2020, 8, 391.
2019年：
1. Lulu Wang, Jiusun Zeng, Xiaoyu Liang, Yuchen He, Shihua Luo, Jinhui Cai. Soft sensing of a nonlinear multimode process using a self organizing model and conditional probability density analysis. Industrial & Engineering Chemistry Research, 2019, 58: 14267-14274.
2. Yi Liu, Jiusun Zeng*, Lei Xie, Uwe Kruger, Shihua Luo, Hongye Su. Structured sequential Gaussian graphical models for monitoring time-varying process. Control Engineering Practice, 2019, 91: 104099.
3. Yuchen He, Jiusun Zeng*. Double layer distributed process monitoring based on hierarchical multi-block decomposition. IEEE Access, 2019, 7:17337-17346.
4. Yi Liu, Jiusun Zeng*, Lei Xie, Shihua Luo, Hongye Su. Structured joint sparse principal component analysis for fault detection and isolation. IEEE Transactions on Industrial Informatics, 2019, 15, 2721-2731.
2018及以前:
1. Yuchen He, Binbin Zhu, Chenyang Liu, Jiusun Zeng*. Quality-related locally weighted non-Gaussian regression based soft sensing for multimode processes. Industrial & Engineering Chemistry Research, 2018, 57:17452-17461.
2. Jiusun Zeng, Shihua Luo, Jinhui Cai, Uwe Kruger, Lei Xie. Nonparametric density estimation of hierarchical probabilistic graph models for assumption-free monitoring. Industrial & Engineering Chemistry Research, 2017, 58(5): 1278-1287.
3. Zhenwei Huang, Jiusun Zeng*, Guobin Pan, Lei Xie. A kernel sparse representation based framework for monitoring nonlinear multi-mode process. Journal of Chemical Engineering of Japan, 2017, 50(9): 737-747.
4. Lei Xie, Zhe Li, Jiusun Zeng, Uwe Kruger. Block adaptive kernel principal component analysis for nonlinear process monitoring, AIChE Journal, 2016, 62(12): 4334-4345.
5. Lei Xie，Jiusun Zeng*，Uwe Kruger，Xun Wang，Jaap Geluk. Fault detection in dynamic systems using the Kullback–Leibler divergence，Control Engineering Practice，2015，43：39-48.
6. Jiusun Zeng，Biao Huang*，Lei Xie，A Bayesian sparse reconstruction method for fault detection and isolation，Journal of Chemometrics，2015，29(1)：349-360.
7. Jiusun Zeng, Uwe Kruger, Jaap Geluk, Xun Wang, Lei Xie，Detecting abnormal situations using the Kullback Leibler divergence, Automatica, 2014, 50(11): 2777-2786.
8. Lei Xie，Jiusun Zeng，Chuanhou Gao，Novel just-in-time learning based soft sensor utilizing non-Gaussian information，IEEE Transactions on Control Systems Technology，2014，22（1）：360-368
9. Jiusun Zeng，Lei Xie，Uwe Kruger，Chuanhou Gao. Regression-based analysis of multivariate non-Gaussian datasets for diagnosing abnormal situations in chemical process，AICHE Journal，2014，60(1): 148-159.
10. Jiusun Zeng，Jinhui Cai，Lei Xie，Jianming Zhang，Yong Gu. Statistical process monitoring based on the kernel mean discrepancy test，Industrial & Engineering Chemistry Research，2013，52(1): 2000-2007.
11. Lei Xie，Xiaozhong Lin，Jiusun Zeng*. Shrinking principal component analysis for enhanced process monitoring and fault isolation，Industrial & Engineering Chemistry Research，2013，52(12)：17475-17486.
12. Gui Chen, Lei Xie, Jiusun Zeng*, Jian Chu, Yong Gu. Detecting model-plant-mismatch of nonlinear multivariate systems using mutual information，Industrial & Engineering Chemistry Research, 2013, 52(1): 1927-1938.
13. Jiusun Zeng，Lei Xie，Uwe Kruger，Chuanhou Gao. A non-Gaussian regression algorithm based on mutual information maximization，Chemometrics and Intelligent Laboratory Systems, 2012, 111(1): 1-19.
14. Jinhui Cai，Jiusun Zeng*，Shihua Luo. A state space model for monitoring of the dynamic blast furnace system, ISIJ International, 2012, 52(12): 2194-2199.
15. Chuanhou Gao，Jiusun Zeng，Zhimin Zhou. Identification of multiscale nature and multiple dynamics of the blast furnace system from operating data, AICHE Journal, 2011, 57(12): 3448-3458.
16. 蔡晋辉，桑迎平，曾九孙，姚燕. 基于概率分布测度的高炉故障检测研究，仪器仪表学报, 2014, 36(6): 1363-1369.
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