个人简介
姓 名:戈鹏鹤
学历学位:研究生/博士
职称:讲师
电子邮件:gepenghe@cust.edu.cn
研究领域:非线性动力系统分岔与混沌、复杂网络完全同步
戈鹏鹤,中共党员,讲师。北京交通大学理学博士。曾主持国家级科技委(博士项目)1项,中央高校基本科研业务费1项;参与国家自然科学基金“面上”项目、国家重点实验室开放课题、科研院所横向合作项目共10余项。以第一作者/通信作者发表SCI论文6篇。
教育经历
2023年毕业于北京交通大学系统理论专业,获理学博士学位;
2019年毕业于北京交通大学系统理论专业,获理学硕士学位;
2016年毕业于北京交通大学信息与计算科学专业,获理学学士学位。
职称与职务
2023年07月至今 长春理工大学 数学与统计学院 讲师
研究方向
非线性动力系统分岔与混沌、复杂网络完全同步
指导与教学
主讲课程:
本科生课程《最优化理论与算法》、《运筹学》。
代表性科研项目
曾主持和参与纵向横向科研/教研项目10余项,部分科研项目如下:
科研项目
主持项目:
2021年 基于神经元模型研究网络同步发生机理和转迁过程
2020年 神经疾病脑网络构建模型的特征分析与动力学行为研究
参与项目:
2021年 高速列车转向架运行的稳定性与安全性研究
2020年 基于分形理论的轨道状态评价方法研究
2019年 轮轨非线性等效锥度函数对高速列车转向架蛇行运动分岔特性的影响
2018年 车辆和弓网动态检测数据分析
2017年 高速列车在弯道行驶过程中发生蛇行运动的机理
2016年 混杂离散神经元网络动态分析及应用
代表性论文
以第一/通信作者发表学术论文共计6篇(#为第一作者,*为通讯作者,标注分区为论文发表时中科院SCI分区):
1. Penghe Ge*#, Libo Cheng, Hongjun Cao. Complete synchronization of three-layer Rulkov neuron network coupled by electrical and chemical synapses. Chaos (2024). 中科院SCI二区
2. Penghe Ge#, Hongjun Cao*. Dynamics of delayed neuroendocrine systems and their reconstructions using sparse identification and reservoir computing. International Journal of Bifurcation and Chaos, 33(06): 2330014 (2023). (Feature Article, Cover Image) 中科院SCI四区
3. Penghe Ge#, Hongjun Cao*. Intermittent evolution routes to the periodic or the chaotic orbits in Rulkov map. Chaos, 31: 093119 (2021). (Featured Article) 中科院SCI二区
4. Penghe Ge#, Hongjun Cao*. Chaos in the Rulkov neuron model based on Marotto’s theorem. International Journal of Bifurcation and Chaos, 31(15): 2150233 (2021). 中科院SCI三区
5. Penghe Ge#, Xiukun Wei, Jinzhao Liu, Hongjun Cao*. Bifurcation of a modified railway wheelset model with nonlinear equivalent conicity and wheel-rail force. Nonlinear Dynamics, 102: 79-100 (2020). 中科院SCI一区
6. Penghe Ge#, Hongjun Cao*. Synchronization of Rulkov neuron networks coupled by excitatory and inhibitory chemical synapses. Chaos, 29: 023129 (2019). 中科院SCI二区
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Curriculum Vitae
Ge Penghe, Ph.D., lecturer. She received the Doctor of Philosophy Degree from Beijing Jiaotong University, China. She finished over 10 projects as a team leader or a team member. She published 6 academic papers as the first/corresponding author.
Education and Training:
2023, received the degree of Doctor of Science, Beijing Jiaotong University (BJTU), China.
2019, received Master's degree in Science, BJTU, China.
2016, received Bachelor's degree in Science, BJTU, China.
Academic Title and Position:
2023/07-present, Lecturer, School of Mathematics and Statistics, CUST, China.
Research Interests:
Bifurcation and Chaos of Nonlinear Dynamical System, Complete Synchronization of Complex Network
Supervision:
E-mail Address: gepenghe@cust.edu.cn
Teaching Modules:
Teaching and taught modules since 2024:
For undergraduate students: Optimization Theory and Algorithm, Operational Research.
Research projects:
Currently, I am working on the algebraic invariant of periodic solutions and the
catastrophe of transient periodic trajectories in low-dimensional discrete-time dynamical systems. Some researches involve image processing and machine learning, cooperating with my colleagues.
Selected Papers:
1. Penghe Ge*#, Libo Cheng, Hongjun Cao. Complete synchronization of three-layer Rulkov neuron network coupled by electrical and chemical synapses. Chaos (2024). 中科院SCI二区
2. Penghe Ge#, Hongjun Cao*. Dynamics of delayed neuroendocrine systems and their reconstructions using sparse identification and reservoir computing. International Journal of Bifurcation and Chaos, 33(06): 2330014 (2023). (Feature Article, Cover Image) 中科院SCI四区
3. Penghe Ge#, Hongjun Cao*. Intermittent evolution routes to the periodic or the chaotic orbits in Rulkov map. Chaos, 31: 093119 (2021). (Featured Article) 中科院SCI二区
4. Penghe Ge#, Hongjun Cao*. Chaos in the Rulkov neuron model based on Marotto’s theorem. International Journal of Bifurcation and Chaos, 31(15): 2150233 (2021). 中科院SCI三区
5. Penghe Ge#, Xiukun Wei, Jinzhao Liu, Hongjun Cao*. Bifurcation of a modified railway wheelset model with nonlinear equivalent conicity and wheel-rail force. Nonlinear Dynamics, 102: 79-100 (2020). 中科院SCI一区
6. Penghe Ge#, Hongjun Cao*. Synchronization of Rulkov neuron networks coupled by excitatory and inhibitory chemical synapses. Chaos, 29: 023129 (2019). 中科院SCI二区