2010-01--2013-12 英国雷丁大学(University of Reading) 博士
2008-09--2009-11 英国谢菲尔德大学((University of Sheffield)) 硕士
2002-09--2006-06 中国人民解放军国防科学技术大学 学士
工作经历
工作简历
2016-03~现在, 中科院海西研究院泉州装备制造研究所, 研究员
2015-09~2016-03,中科院海西研究院泉州装备制造研究所, 副研究员
2014-04~2015-08,辛克卢德石油公司自动化部(Syncrude Canada Ltd.), 首席研发工程师(Research Engineer Leader)
2014-01~2015-08,加拿大阿尔伯塔大学(University of Alberta), 博士后研究员(Postdoctoral Research Fellow)
2013-11~2013-12,比利时布鲁塞尔自由大学( Vrije Universiteit Brussel), 访问学者(Visiting Researcher)
2010-01~2013-06,英国雷丁大学(University of Reading), 助研/教(Research/Teaching Assistant)
2006-09~2008-06,北京中锐识华信息科技有限公司, 研发工程师(R & D Engineer)
社会兼职
2010-04-07-今,国际电气和电子工程师协会(IEEE), 会员
2010-04-02-今,《International Journal of Robust and Nonlinear Control》期刊, 审稿人
2010-04-02-今,《IEEE Transactions on Neural Networks》期刊, 审稿人
2010-04-02-今,《IEEE Transactions on Cybernetics》期刊, 审稿人
2010-04-02-今,《IET Control Theory & Applications》期刊, 审稿人
2010-04-02-今,《International Journal of System Science》期刊, 审稿人
2010-04-02-今,《Journal of Applied Mathematics》期刊, 审稿人
2010-04-02-今,《Canadian Journal of Chemical Engineering》期刊, 审稿人
教授课程
出版信息
发表论文
(1) An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring, IEEE Transactions on Cybernetics, 2017, 第 2 作者
(2) A modified PCA-based approach for process monitoring, 2017 29th Chinese Control And Decision Conference (CCDC), 2017, 第 2 作者
(3) An Adaptive Multi-Kernel RBF Model Using State Matching, 2017 6th Data Driven Control and Learning Systems (DDCLS), 2017, 第 2 作者
(4) An Adaptive Multi-Kernel RBF Model Using State Matching, 2017 6th Data Driven Control and Learning Systems (DDCLS), 2017, 第 2 作者
(5) A Fast Adaptive Tunable RBF Network for Nonstationary Systems, IEEE Transactions on Cybernetics, 2015, 第 1 作者
(6) Adaptive Equalizer Using a Mixture of Gaussians Based On-Line Density Estimator, IEEE Transactions on Vehicular Technology, 2014, 第 1 作者
(7) A New Adaptive Multiple Modeling Approach for Non-linear and Non-stationary Systems, International Journal of Systems Science, 2014, 第 1 作者
(8) On-line Modelling With Tunable RBF Network, IEEE Transactions on Cybernetics, 2013, 第 1 作者
(9) Adaptive Noise Cancellation with Fast Tunable RBF Network, Sensor Signal Processing for Defence (SSPD 2012), 2012, 第 1 作者
(10) Adaptive Modelling with Tunable RBF Network Using Multi-innovation RLS Algorithm Assisted by Swarm Intelligence, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, 第 1 作者
(1)自适应建模和工业应用-Adaptive Modeling and Industry Application SKIPER学院(海外)名师讲堂第四十九讲 Chen Hao 2014-12-04
(2)Real Time Model Adaptation for Non-Stationary Systems Chen Hao 2013-04-29
(3)Adaptive Noise Cancellation with Fast Tunable RBF Network H. Chen, Y. Gong and X. Hong 2012-09-25
(4)Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence H. Chen, Y. Gong, and X. Hong 2011-05-22