张炳杰，男，1993年3月生，山东潍坊寿光人，中共党员，理学博士。主要研究方向：人工智能算法基础理论、神经网络、模糊系统、聚类算法等。发表学术论文10余篇，其中SCI论文6篇、EI论文2篇，曾获山东省优秀硕士学位论文。承担《高等数学》教学任务。 

教育经历：

2019.09-2024.06 大连理工大学 数学科学学院 计算数学专业 博士

2016.09-2019.06 中国石油大学（华东） 理学院 数学专业（保送） 硕士

2012.09-2016.06 中国石油大学（华东） 理学院 信息与计算科学专业 本科 

代表性成果：

[1] Bingjie Zhang, Jian Wang, ChaoZhang, JieYang, TufanKumbasar, and Wei Wu. Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems[J], Neurocomputing, 2024, 569:127118. (SCI二区Top)

[2] Bingjie Zhang, Jian Wang, Xiaoling Gong, Zhanglei Shi, Chao Zhang, Kai Zhang, El-Sayed M. El-Alfy, and Sergey V. Ablameyko. First-order sparse TSK nonstationary fuzzy neural network based on the Mean Shift algorithm and the Group Lasso regularization[J], Mathematics, 2024, 12(1): 120. (SCI三区, JCR一区)

[3] Bingjie Zhang, Xiaoling Gong, Jian Wang, Fengzhen Tang, Kai Zhang, and Wei Wu. Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule[J], Information Sciences, 2022, 608:  313–338. (SCI一区Top)

[4] Bingjie Zhang, Yusong Liu, Jinde Cao, Shujun Wu, and Jian Wang. Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: deterministic convergence and its application[J], Neural Networks, 2019, 115: 50-64. (SCI一区Top)

[5] Jian Wang, Bingjie Zhang, Zhanquan Sun, Wenxue Hao, and Qingying Sun. A novel conjugate gradient method with generalized Armijo search for efficient training of feedforward neural networks[J], Neurocomputing, 2018, 275: 308-316. (SCI二区Top)