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王扬帆
2023-05-16 12:20
  • 王扬帆
  • 王扬帆 - 副教授-中国海洋大学-海洋生命学院-个人资料

近期热点

资料介绍

个人简历


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。

研究领域


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

近期论文


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)

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