姓名：王扬帆
学历/职称/职务：副教授
联系方式：化学馆219
邮箱：yfwang@ouc.edu.cn 电话：
地址：中国海洋大学海洋生命学院 工作照：
学习工作简历：
2011年6月至2012年3月：英国邓迪大学（University of Dundee UK）数学系（Division of Mathematics ），生物计算，博士后。
2009年9月至2011年6月: 英国邓迪大学（University of Dundee UK）数学系（Division of Mathematics ），生物计算，联合培养博士生。
2007年9月至2009年9月：中国海洋大学，信息科学与工程学院计算机系，计算机应用技术专业，攻读博士学位。
2005年9月至2007年7月：中国海洋大学，信息科学与工程学院电子系，通信与数据系统专业，硕士研究生。
科研领域描述：生物计算中多尺度问题（Multiscale Problem）、神经网络模型（Neural Network）
反问题 （Inverse Problem）等
代表性成果：
1. Retinal vessel segmentation using a finite element based binary level set method, Inverse Problem Imaging, , vol. 8, no. 2; #6 (2014) . (* corresponding author). (SCI 二区)
2. Dynamical Behaviors of Delayed Reaction-Diffusion Hopfield Neural Networks Driven by Infinite Dimensional Wiener Processes, IEEE Trans. Neural Network, In revision. (* corresponding author). （SCI一区）
3. Continuous finite element schemes for a phase field model in two-layer fluid Benark-Marangoni convection computations, Computer Phys Comm., In press. available online on 30 August, 2013. (* corresponding author). （SCI一区）
4. A multiscale moving boundary model arising in cancer invasion, Multiscale Modelling Simulation: A SIAM Interdisciplinary J. 11(1), 2013, pp.309-335. (* corresponding author). （SCI 一区）
5. Retinal vessel segmentation using multiwavelet kernels and multiscale hierarchical decomposition, Pattern Recognition, available online 10 Feb 2013. ( First author) （SCI二区）
6. Exponential stability of reaction–diffusion high-order Markovian jump Hopfield neural networks with time-varying delays, Nonlinear Analysis: Real World Applications 13 (2012), No 3, pp 1353-1361.( First author) （SCI一区）
7. Global exponential stability of high-order Hopfield-type neural networks with S-type distributed time delays , Communications in Nonlinear Science and Numerical Simulation ,Vol.16(2011)，3319-3325. ( First author)（SCI一区）
8． LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays. J. Applied Mathematics (2012) ( First author)（SCI）
9. ROV-based Underwater Vision System for Intelligent Fish Ethology Research[J]. International Journal of Advanced Robotic Systems, 2013, 10. corresponding author（SCI）
项目：National High-Tech R&D Program(863 Program 2012AA10A412). National Natural Science Foundation of China (No 31302182)
Curriculum Vitae
Name Yangfan Wang
Title Associate Professor
Contact Room 219
Email: yfwang@ouc.edu.cn Tel：
Address：Ocean University of China Photo
Experiences:
MSc (2005.0-2007.7), Ocean University of China, Qingdao, China.
PhD (2007.9-2009.7), Ocean University of China, Qingdao, China, under supervision of Prof. Guangrong Ji, (2009.9-2011.6), Division of Mathematics, University of Dundee, UK, under supervision of Prof. Ping Lin.
Career History:
Postdoc Fellow (2011.6-2012.3), Division of Mathematics, University of Dundee, UK, under supervision of Prof Mark Chaplain.
Research Interests： Numerical Analysis and Scientific Computing; Multiscale Modeling and Analysis in Cancer Invasion and Some Biological and Medical Problems, PDE-based Image Processing.
Achievements:
Publications
1. Retinal vessel segmentation using a finite element based binary level set method, Inverse Problem Imaging, , vol. 8, no. 2; #6 (2014). (* corresponding author).
2. Dynamical Behaviors of Delayed Reaction-Diffusion Hopfield Neural Networks Driven by Infinite Dimensional Wiener Processes, IEEE Trans. Neural Network, In revision. (* corresponding author).
3. Continuous finite element schemes for a phase field model in two-layer fluid Benark-Marangoni convection computations, Computer Phys Comm., In press. available online on 30 August, 2013. (* corresponding author).
4. A multiscale moving boundary model arising in cancer invasion, Multiscale Modelling Simulation: A SIAM Interdisciplinary J. 11(1), 2013, pp.309-335. (* corresponding author).
5. Retinal vessel segmentation using multiwavelet kernels and multiscale hierarchical decomposition, Pattern Recognition, available online 10 Feb 2013. ( First author)
6. Exponential stability of reaction–diffusion high-order Markovian jump Hopfield neural networks with time-varying delays, Nonlinear Analysis: Real World Applications 13 (2012), No 3, pp 1353-1361.( First author)
7. Global exponential stability of high-order Hopfield-type neural networks with S-type distributed time delays , Communications in Nonlinear Science and Numerical Simulation ,Vol.16(2011)，3319-3325. ( First author)
8． LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays. J. Applied Mathematics (2012) ( First author)
9. ROV-based Underwater Vision System for Intelligent Fish Ethology Research[J]. International Journal of Advanced Robotic Systems, 2013, 10. corresponding author
Project： National High-Tech R&D Program(863 Program 2012AA10A412). National Natural Science Foundation of China (No 31302182)
