姓名:杨传做
职务/职称:青年教师/讲师
研究领域:临床脑电的数据分析、神经系统的动力学建模
邮箱:yangcz@zzu.edu.cn
简要经历
2021.08—至今数学与统计学院讲师
2016.09—2021.06 北京航空航天大学 工学博士学位
2012.09—2016.06 北京理工大学 工学学士学位
主要项目
[1] 国家自然科学基金青年基金项目“抑制性效能变化下癫痫网络动力学及数据表征”,30万,研究期限:2023.01—2025.12,主持
[2] 河南省博士后科研项目,10万,研究期限:2023.07—2025.06,主持
[3] 国家自然科学基金重点项目“颞叶癫痫致痫灶动力学建模分析与控制及在诊疗评估中的应用”,330万,研究期限:2020.01—2024.12,参与
论文
[1] Chuanzuo Yang, Zilu Liu, Qishao Wang, Qingyun Wang, Zhao Liu and Guoming Luan. Epilepsy as a dynamical disorder orchestrated by epileptogenic zone: a review[J]. Nonlinear Dynamics, 2021, 104: 1901-1916.
[2] Chuanzuo Yang, Zhao Liu, Qingyun Wang, Guoming Luan and Feng Zhai. Epileptic seizures in a heterogeneous excitatory network with short-term plasticity[J]. Cognitive Neurodynamics, 2021, 15: 43–51.
[3] Chuanzuo Yang, Zhao Liu, Guoming Luan and Qingyun Wang. The extension of epileptogenicity as the driving force of the epileptogenic network evolution and complex symptoms[J]. Brain Research, 2020, 1748: 147073.
[4] Chuanzuo Yang, Guoming Luan, Zhao Liu and Qingyun Wang. Dynamical analysis of epileptic characteristics based on recurrence quantification of SEEG recordings[J]. Physica A, 2019, 523: 507-515.
[5] Chuanzuo Yang, Guoming Luan and Qingyun Wang. Alterations of brain networks before and after surgery in temporal lobe epilepsy patients with hippocampal sclerosis[C]. International Conference on Cognitive Neurodynamics, 2019.
[6] Chuanzuo Yang, Guoming Luan, Qian Wang, Zhao Liu, Feng Zhai and Qingyun Wang. Localization of epileptogenic zone with the correction of pathological networks. Frontiers in Neurology, 2018, 9: 143.
[7] Denggui Fan, Zecheng Yang, Chuanzuo Yang, Qingyun Wang and Guoming Luan. Clinically localized seizure focus maybe not exactly the position of abating seizures: a computational evidence[J]. Nonlinear Dynamics, 2021.
[8] Zhao Liu, Guoming Luan, Chuanzuo Yang, Yuguang Guan, Changqing Liu, Jing Wang, Mengyang Wang and Qingyun Wang. Distinguishing dependent-stage secondary epileptogenesis in a complex case of giant hypothalamic hamartoma with assistance of a computational method[J]. Frontiers in Neurology, 2020, 11: 478.