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张葛祥，男，1974年生，四川绵阳人，1995年加入中国共产党，教授、博士生导师，成都理工大学人工智能研究中心主任，国际膜计算学会(IMCS)主席，IET Fellow，IEEE Senior Member, 教育部新世纪优秀人才。2019年作为“珠峰引才计划” A2类人才到校工作。2007年、2014年和2015年分别到英国、西班牙和美国访学。主要研究方向为人工智能、智能装备及机器人、智能电网和自然计算等。主持国家自然科学基金项目5项和其他国家级、部省级项目10余项。在德国Springer和中国科学出版社分别出版英文、中文著作各1部，发表SCI检索论文80余篇，获得国家授权发明专利20余件。2019年获得罗马尼亚科学院Grigore Moisil奖，2017-2019年分别获得四川省科技进步二等奖2项、三等奖1项。担任Springer出版国际期刊JMC执行主编，IJNS、IJUC等国际期刊客座主编或编委，多个国际会议的大会主席、筹划委员会协主席、程序委员会协主席、程序委员会委员等。
项目课题/Programs：
大熊猫生态系统膜计算模型建模机制研究, 国家自然科学基金项目, 2017--2020
问题驱动膜计算模型的自主演化设计与建模机制, 国家自然科学基金项目, 2014--2017。
问题驱动膜计算模型自主演化设计方法研究, 四川省学术和技术带头人培养资金, 2013--2014。。
进化膜计算机理与模型研究, 国家自然科学基金项目, 2012--2015。
膜计算模型及其硬件实现原理与方法研究, 教育部新世纪优秀人才支持计划项目, 2012--2014。
膜算法动态模型及其在信号处理中的应用, 教育部留学回国人员科研启动基金项目, 2011--2013。。
基于生物细胞的计算模型研究, 四川省学术和技术带头人培养资金, 2012--2013。
复杂体制雷达辐射源信号分选识别模型与算法研究，四川省青年科技基金项目, 2009--2011。
复杂体制雷达辐射源信号本征时频原子特征挖掘模型与算法, 国家自然科学基金项目, 2008--2010。
基于监测数据的高速列车服役安全性态评估的关键问题研究, 国家自然科学基金重点项目, 2012--2016
复杂体制雷达辐射源信号特征评价机制, 国家自然科学基金项目, 2010--2012。
电力系统故障预测与诊断, 中央高校基本科研业务费专项资金, 2011-2013。
智能电网关键技术, 中央高校基本科研业务费专项资金, 2009-2011。
复杂体制雷达辐射源信号分选识别机理与模型, 国家自然科学基金项目, 2006-2008 [4]
论文著作 / Publications：
张葛祥, 程吉祥, 王 涛, 王学渊, 朱 杰. 膜计算: 理论与应用. 北京: 科学出版社, 2015.
Gexiang Zhang, Jun Wang, Jixiang Cheng, Tao Wang (Eds.), Pre-Proceedings of the Second Asian Conference on Membrane Computing (ACMC2013), Chengdu, China, 2013.
The Scientific World Journal (SCI-indexed): Special Issue on Selected Papers from “The 9th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2014)”。
Romanian Journal of Information Science and Technology (SCI-indexed): Special Issue on Selected Papers from “The Second Asian Conference on Membrane Computing (ACMC 2013)”。
代表性论文/Selectedpublications：
Junbo Zhao, Gexiang Zhang*. A Robust Prony Method Against Synchrophasor Measurement Noise and Outliers, IEEE Transactions on Power Systems, 2016 (Accepted) (SCI, IF=3.34, JCR=2)。。
Junbo Zhao, Gexiang Zhang, Rabih A. Jabr. Robust Detection of Cyber Attacks on State Estimators Using Phasor Measurements, IEEE Transactions on Power Systems, 2016, DOI: 10.1109/TPWRS.2016.**. (SCI, IF=3.34, JCR=2)。
Sidong Wu, Tao Jiang, Gexiang Zhang*, Brigitte Schoenemann, Ferrante Neri, Ming Zhu, Chunguang Bu, Jianda Han, Klaus-Dieter Kuhnert. Artificial compound eye: a survey of the state-of-the-art, Artificial Intelligence Review, 2016, DOI: 10.1007/s10462-016-9513-7. (SCI, IF=1.731, JCR=3)。
Tao Wang, Sikui Zeng, Gexiang Zhang*, Mario J. Pérez-Jiménez, Jun Wang. Fault section estimation of power systems with optimization spiking neural P systems. Romanian Journal of Information Science and Technology, 2016 (Accepted)。
Weitao Yuan, Gexiang Zhang, Mario J. Pérez-Jiménez, Tao Wang, Zhiwei Huang. P systems based computing polynomials: design and formal verification. Natural Computing, 2016 (Accepted)。Junbo Zhao, Gexiang Zhang, Massimo La Scala, Zhao Yang Dong, Chen Chen, Jianhui Wang. Short-term state forecasting-aided method for detection of smart grid general false data injection attacks. IEEE Transactions on Smart Grid, 2015, DOI:10.1109/TSG.2015.**. (SCI, IF= 4.334, JCR=1)。
Junbo Zhao, Gexiang Zhang, Zhao Yang Dong, Kit Po Wong, Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation, IEEE Transactions on Smart Grid, 2016, 7(1): 6-8. (SCI, IF= 4.334, JCR=1)。
Xueyuan Wang, Gexiang Zhang, Ferrante Neri, Tao Jiang, Junbo Zhao, Marian Gheorghe, Florentin Ipate, Raluca Lefticaru. Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots, Integrated Computer-Aided Engineering, 2016, 23(1): 15-30. (SCI, IF= 4.667, JCR=1)。
Tao Wang, Gexiang Zhang, Mario J. Pérez-Jiménez. Fuzzy Membrane Computing: Theory and Applications. International Journal of Computers, Communications & Control, 2015, 10(6): 904-935. (SCI, IF=0.746, JCR=4) (Invited paper to the Special Issue on Fuzzy Sets and Applications, dedicated to the 50th anniversary from the publication of the famous paper : L.A. Zadeh (1965), Fuzzy Sets, Information and Control 8: 338-353.)。
Junbo Zhao, Gexiang Zhang, Kaushik Das, George N. Korres, Nikolaos M. Manousakis, A. K. Sinha, Zhengyou He, Power System Real-time Monitoring by Using PMU based Robust State Estimation Method, IEEE Transactions on Smart Grid, 2016, 7(1): 300-309. (SCI, IF= 4.334, JCR=1)。
Jixiang Cheng, Gexiang Zhang, Fabio Caraffini, Ferrante Neri. Multicriteria adaptive differential evolution for global numerical optimization, Integrated Computer-Aided Engineering, 2015, 22(2): 103-117. (SCI, IF= 4.667, JCR=1)。
Tao Wang, Gexiang Zhang, Mario J. Pérez-Jiménez, Jixiang Cheng. Weighted fuzzy reasoning spiking neural P systems: application to fault diagnosis in traction power supply systems of high-speed railways. Journal of Computational and Theoretical Nanoscience, 2015, 12(7): 1103-1114. (SCI, IF=0.673, JCR=4)。
Jixiang Cheng, Gexiang Zhang, Tao Wang. A membrane-inspired evolutionary algorithm based on population P systems and differential evolution for multi-objective optimization. Journal of Computational and Theoretical Nanoscience, 2015, 12(7): 1150-1160. (SCI, IF=0.673, JCR=4)。
Tao Wang, Gexiang Zhang, Junbo Zhao, Zhengyou He, Jun Wang, Mario J. Pérez-Jiménez. Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems, IEEE Transactions on Power Systems, 2015, 30(3): 1182-1194. (SCI, IF=3.530, JCR=2)。
Gexiang Zhang, Haina Rong, Zhu Ou, Mario J. Pérez-Jiménez and Marian Gheorghe. Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients, IEEE Transactions on NanoBioscience, 2014, 13(3): 363-371. (SCI, IF=1.768, JCR=3)。
Jixiang Cheng, Gexiang Zhang. Parameter fitting of proton exchange membrane fuel cell models based on adaptive differential evolution, International Journal of Electrical Power & Energy Systems, 2014, 62: 189–198. (IF= 3.432, SCI, JCR=2).
Gexiang Zhang, Marian Gheorghe, Linqiang Pan, Mario J. Pérez-Jiménez. Evolutionary membrane computing: a comprehensive survey and new results. Information Sciences, 2014, 279: 528–551. (IF= 3.893, SCI, JCR=1).
Gexiang Zhang, Haina Rong, Ferrante Neri, Mario J. Pérez-Jiménez. An optimization spiking neural P system for approximately solving combinatorial optimization problems, International Journal of Neural Systems, 2014, 24(5): 1-16. Article No. **. (IF= 6.056, SCI, JCR=1, IJNS achieves a rank of 2 out of 111 in the Computer Science and Artificial Intelligence category according to the website of IJNS).。
赵俊博, 张葛祥, 黄彦全. 含新能源电力系统状态估计研究现状和展望. 电力自动化设备, 2014, 34(5): 7-20. (EI)。
Gexiang Zhang, Haina Rong, Jixiang Cheng, Yanhui Qin. A population-membrane-system-inspired evolutionary algorithm for distribution network reconfiguration. Chinese Journal of Electronics, 2014, 23(3): 437-441. (SCI)。
Yixi Chen, Gexiang Zhang, Tao Wang, Xiaoli Huang. Automatic design of a P system for basic arithmetic operations. Chinese Journal of Electronics, 2014, 23(2): 302-304. (SCI)。
Xueyuan Wang, Gexiang Zhang, Junbo Zhao, Haina Rong, Florentin Ipate, Racula Lefticaru. A modified membrane-inspired algorithm based on particle swarm optimization for mobile robot path planning, International Journal of Computers, Communications & Control, 2015, 10(5): 732-745. (SCI)。
Gexiang Zhang, Jixiang Cheng, Marian Gheorghe, Florentin Ipate, Xueyuan Wang. QEAM: an approximate algorithm using P systems with active membranes, International Journal of Computers, Communications & Control, 2015, 10(2): 263-279. (SCI)
Tao Wang, Gexiang Zhang, Haina Rong, Mario J. Pérez-Jiménez. Application of Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis, International Journal of Computers, Communications & Control, 2014, 9(6):786-799. (SCI)。。
Gexiang Zhang, Jixiang Cheng, Marian Gheorghe. Dynamic behavior analysis of membrane-inspired evolutionary algorithms. International Journal of Computers, Communications & Control, 2014, 9(2): 227-242. (SCI)。
学术荣誉/Academic kudos：
2011年入选教育部新世纪优秀人才支持计划。
2011年入选“西南交通大学高层次教师队伍建设系列计划”之“扬华之星”。
2010年入选四川省第九批学术与技术带头人后备人选。
2009年入选四川省****学科带头人培养计划。
2008年入选“西南交通大学高层次教师队伍建设系列计划”之“竢实之星”。
2007年获四川省优秀博士学位论文奖。
2006年获西南交通大学优秀博士学位论文奖。
2004年获the Student Grant from the first International Conference on Modeling Decisions for Artificial Intelligence, Barcelona, Catalonia, Spain, waived 400 Euros。