张泽银，浙江大学教授、博士（后）。

1997-至今，浙江大学，工作；

1995-1997，浙江大学，博士后；

1991-1994，武汉大学，博士。

专业方向：

1、复杂系统安全监控与优化控制、目标监控与轨迹优化；

2、大数据与人工智能、小波分析应用与图象处理。

先后主持或参与完成国家自然科学基金重点项目和面上项目、国家863计划、中国人民解放军总装备部基金、国家航天科工创新基金、国家知识产权局专利实施许可项目、中石化科技攻关项目 、浙江省自然科学基金、浙江省科技厅国际合作等国家、国际纵向项目20余项。相关科研成果，已在International Journal of Control, Journal of the Franklin Institute, Engineering Optimization, Journal of Chemometrics, Journal of Applied Polymer Science, Applied SoftComputing等国际高水平学术期刊发表SCI/EI论文70余篇，其中SCI论文30余篇(近3年SCI论文近20篇)，获浙江省科技进步二等奖。

近几年代表性SCI论文如下：

[1] ZY Zhang, T Wang, X Liu. Melt Index Prediction by Aggregated RBF Neural Networks Trained with Chaotic Theory. Neurocomputing, 131: 368-376, 2014. (SCI)

[2] L Xiao, X Liu, L Ma, ZY Zhang. An effective pseudospectral method for constraint dynamic optimisation problems with characteristic times, International Journal of Control, 91(3): 571-581, 2018. (Top SCI)

[3] P Liu, X Liu, ZY Zhang, Y Wang, C Yang, W Gui. Production optimization for concentration and volume-limited fed-batch reactors in biochemical processes. Bioprocess and Biosystems Engineering, 41(3): 407-422, 2018. (SCI)

[4] Y Sun, X Liu, ZY Zhang, Quality prediction via semi-supervised Bayesian regression with application to propylene polymerization, Journal of Chemometrics, DOI:10.1002/cem.3052, 2018. (SCI)

[5] L Wang, X Liu, ZY Zhang. An efficient interior-point algorithm with new non-monotone line search filter method for nonlinear constrained programming. Engineering Optimization 49(2): 290-310, 2017. (SCI)

[6] L Wang, X Liu, ZY Zhang. A new sensitivity-based adaptive control vector parameterization approach for dynamic optimization of bioprocesses. Bioprocess and Biosystems Engineering 40(2): 181-189, 2017. (SCI)

[7] W Wang, H Chen, M Zhang, X Liu, ZY Zhang, Youxian Sun. Application of Takagi-Sugeno fuzzy model optimized with an improved free search algorithm to industrial polypropylene melt index prediction. Transactions of the Institute of Measurement and Control, 39(11): 1613-1622, 2017. (SCI) 

[8] J Wu, X Liu,Y Zhu, Z Wang, Z Song, W Wang, ZY Zhang, J Zhou, Y Yu, Z Xu, T Zhang. A Novel Ship Classification Approach for High Resolution SAR Images Based on BDA-KELM Classification Model. International Journal of Remote Sensing, 38(23): 6457-6476, 2017. (SCI)

[9] Y Sun, Y Wang, X Liu, C Yang, ZY Zhang, W Gui, X Chen, B Zhu. A novel Bayesian inference soft sensor for real-time statistic learning modeling for industrial polypropylene melt index prediction. Journal of Applied Polymer Science, 134(40): 45384, 2017. (Top SCI)

[10] L Xiao, P Liu, X Liu, ZY Zhang, Y Wang, C Yang, W Gui, X Chen & B Zhu. Sensitivity-based adaptive mesh refinement collocation method for dynamic optimization of chemical and biochemical processes. Bioprocess and Biosystems Engineering, 40(9), 1375-1389, 2017. (SCI) 

[11] P Liu, G Li, X Liu, ZY Zhang. Novel non-uniform adaptive grid refinement control parameterization approach for biochemical processes optimization, Biochemical Engineering Journal, 111: 63-74, 2016. (SCI)

[12] P Liu, G Li, X Liu, ZY Zhang. A novel fast dynamic optimization approach for complex multivariable chemical process systems. Canadian Journal of Chemical Engineering, 94(12): 2355-2363, 27 2016. (SCI) 

[13] M Zhang, X Liu, ZY Zhang. A soft sensor for industrial melt index prediction based on evolutionary extreme learning machine, Chinese Journal of Chemical Engineering, 24: 1013–1019 2016. (SCI)

[14] Y Sun, X Liu, ZY Zhang, Z Wang, Y Yu, T Zhang, Y Zhu, Z Song. A sparse probabilistic approach with chaotic artificial bee colony optimization for sea clutter soft computing. Applied Soft Computing, 49: 108–119, 2016. (SCI) 

[15] P Zhang, H Chen, X Liu, ZY Zhang. An iterative multi-objective particle swarm optimization-based control vector parameterization for state constrained chemical and biochemical engineering problems. Biochemical Engineering Journal, 103: 138-151, 2015. (SCI) 

[16] T Wang, X Liu, ZY Zhang. Characterization of chaotic multiscale features on the time series of Melt Index in industrial propylene polymerization system. Journal of the Franklin Institute, 351(2): 878-906, 2014. (Top SCI)