基本信息：
姓名：张莉楠
专业：应用数学
职称：讲师
E-mail：zhanglinan@nbu.edu.cn
研究方向：
稀疏学习 Sparse Learning
模型选择 Model Selection
数学建模 Mathematical Modeling
教育背景：
2015.08-2019.12 卡耐基梅隆大学数学系 博士生
2011.08-2015.05 伍斯特理工学院数学系 本科生
工作经历：
2021.03-至今 宁波大学数学系 讲师
2020.02-2021.01 匹兹堡大学生物信息系 博士后
代表性论文与出版物：
Hayden Schaeffer; Giang Tran; Rachel Ward; Linan Zhang; Extracting structured dynamical systems using sparse optimization with very few samples, Multiscale Modeling & Simulation, 2020, 18(4): 1435-1461.
Yifan Sun; Linan Zhang; Hayden Schaeffer; NeuPDE: Neural network based
ordinary and partial differential equations for modeling time-dependent data, The First Mathematical and Scientific Machine Learning Conference, Princeton University, Princeton, NJ, USA, 2020-7-20至2020-7-24.
Linan Zhang; Hayden Schaeffer; On the convergence of the SINDy algorithm, Multiscale Modeling & Simulation, 2019, 17(3): 948-972.
Linan Zhang; Hayden Schaeffer; Forward stability of ResNet and its variants, Journal of Mathematical Imaging and Vision, 2019, 62: 328-351.
Linan Zhang; Hayden Schaeffer; Stability and error estimates of BV solutions to the Abel inverse problem, Inverse Problems, 2018, 34: 105003.
国际会议作报告情况：
Extracting Structured Dynamics from Very Few Samples. SIAM Conference on Applications of Dynamical Systems (DS19), May 19-23, 2019.
Modeling Bull Sperm Motility Using Image Processing. SIAM Conference on Computational Science and Engineering (CSE15), March 14 - March 18, 2015.