Intelligence Manufacturing

Petrochemical Industry

Logistics Industry

Urban Service

2010/01 ~ 2013/12,   University of Reading     Ph.D.
2008/09 ~ 2009/11,   University of Sheffield    M.S.
2002/09 ~ 2006/06,   National University of Defense Technology    B.S.

   

2016/03 ~ Now, Quanzhou Institute of Equipment Manufacturing, Professor

2015/09 ~ 2016/03,  Quanzhou Institute of Equipment Manufacturing, Associate Professor

2014/04 ~ 2015/08,  Syncrude Canada Ltd., Research Engineer Leader

2014/01 ~ 2015/08,  University of Alberta, Postdoctoral Research Fellow

2013/11 ~ 2013/12,  Vrije Universiteit Brussel, Visiting Researcher

2010/01 ~ 2013/06,  University of Reading, Research/Teaching Assistant

2006/09 ~ 2008/06,  Beijing Zhong Rui Shi Hua Info. Tech. Ltd., R & D Engineer

   

（1） An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring, IEEE Transactions on Cybernetics, 2017, Second Author

（2） A modified PCA-based approach for process monitoring, 2017 29th Chinese Control And Decision Conference (CCDC), 2017, Second Author

（3） An Adaptive Multi-Kernel RBF Model Using State Matching, 2017 6th Data Driven Control and Learning Systems (DDCLS), 2017, Second Author

（4） A Fast Adaptive Tunable RBF Network for Nonstationary Systems, IEEE Transactions on Cybernetics, 2015, First Author

（5） Adaptive Equalizer Using a Mixture of Gaussians Based On-Line Density Estimator, IEEE Transactions on Vehicular Technology, 2014, First Author

（6） A New Adaptive Multiple Modeling Approach for Non-linear and Non-stationary Systems, International Journal of Systems Science, 2014, First Author

（7） On-line Modelling With Tunable RBF Network, IEEE Transactions on Cybernetics, 2013, First Author

（8） Adaptive Noise Cancellation with Fast Tunable RBF Network, Sensor Signal Processing for Defence (SSPD 2012), 2012, First Author

（9） 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, First Author

（1）Adaptive Intelligent Stone Grinding and Polishing System, Invention Patent, 201610494315.5

（2）Fault Intelligent Detection and Analysis Method and Device for Stone Polishing System, Invention Patent, 201610493997.8

（3）Adaptive Intelligent Stone Grinding and Polishing System, Utility Model, 201620667035.5

（4）Fault Intelligent Detection and Analysis Device for Stone Polishing System, Utility Model, 201620666124.8

Analysis and Modeling of Nonlinear Nonstationary (Time-varying) Complex Systems, 

Nonlinear Optimization, 

Soft Sensor, 

Advanced Process Control (APC), 

Process Control, 

Predictive Control, 

Signal Processing, 

Computational Intelligence Technology and Application, 

Data Mining, 

Data Analysis, 

Machine Learning, 

Pattern Recognition, 

Neural Network, 

Fuzzy System, 

Deep Learning

（1）Adaptive Modeling and Industry Application, SKIPER Global Vision Lectures 49, 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

（1）Youth Innovation Promotion Association, Chinese Academy of Sciences, 2019

（2）The person won the “Quanzhou Youth Five Four Medal”, 2018

（3）The leader of research team won “Fujian Youth Five Four Medal”,2018

（4）Fujian Natural Science Foundation for Distinguished Young Scholars，2017

​（5）“Chun Miao” Young Talent of Haixi Institute, Chinese Academy of Sciences, 2015

（6） Outstanding Self-financed Students Abroad, Chinese Government, 2012

（7） PhD Scholarships supported by UK EPSRC and DSTL, UK, 2010

（8） Master with Distinction in Control System, University of Sheffield, 2009