导师风采
王梁
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个人信息

Personal Information

  • 讲师
  • 导师类别:硕士生导师
  • 性别: 男
  • 学历:博士研究生
  • 学位:博士

联系方式

Contact Information

  • 所属院系:生物科学与医学工程学院
  • 所属专业: 生物医学工程
  • 邮箱 : liangwang@seu.edu.cn
  • 工作电话 : 025-

个人简介

Personal Profile

王梁,男,1988年生,江西南昌人,博士,讲师。

2011年于北京师范大学取得理学学士学位;

2013年于北京师范大学取得理学硕士学位,师从杨淳副教授;

2017年于美国伍斯特理工学院(Worcester Polytechnic Institute)取得哲学博士学位,师从 Prof. Dalin Tang 从事冠状动脉粥样斑块发展和破裂的研究;

 

  • 研究方向Research Directions
血管生物力学,冠状粥样斑块的破裂与增长,心血管力学性能测试,数学建模与仿真模拟
科研项目

主要科研项目:

1.国家自然科学青年基金,冠状动脉斑块材料性质在体确定,预测及其力学分析,2019年-2021年,在研,主持;

2.江苏省自然科学青年基金,冠脉粥样硬化斑块在体材料性质,形态和力学因素对斑块行为的预测研究,2018年-2021年, 在研,主持;

3.江苏省青年科学基金,微结构可控材料的仿生力学设计及激光增材制造,2018年-2021年,在研,参与;

4.东南大学“至善青年学者”, 2019年-2021年,主持;

5.国家自然科学基金面上项目,综合血管内超声,光学相干断层成像影像,流固耦合模型和机器学习方法预测冠脉斑块增长和易损性变化,2020/1/1-2023/12/31, 在研,参与;

6.国家自然科学基金面上项目,动脉粥样硬化斑块的残余应力及零载荷状态研究,2020/1/1-2023/12/31, 在研,参与;

7.KJW重点项目,6907038112,2019/12/10-2023-12-31; 在研,参与。


研究成果

[1] Liang Wang, Jian Zhu*, Akiko Maehara, Rui Lv,Yangyang Qu, Xiaoguo Zhang, Xiaoya Guo, Kisten L. Billiar, Lijuan Chen, GenshanMa*, Gary S. Mintz, Dalin Tang*. Quantifying Patient-Specific In Vivo CoronaryPlaque Material Properties for Accurate Stress/Strain Calculations: AnIVUS-Based Multi-Patient Study.  Acceptedby Frontiers in Physiology, 2021, 12:721195. doi: 10.3389/fphys.2021.721195. 

[2] Liang Wang, Luping He, Haibo Jia, Rui Lv, XiaoyaGuo, Chun Yang, Don P. Giddens, Habib Samady, Akiko Maehara, Gary S.Mintz, Bo Yu, Dalin Tang*. Optical Coherence Tomography-BasedPatient-Specific Erosion/Thrombus Coronary Plaque Models with Fluid-StructureInteraction for Better Treatment Decisions: A Pilot Biomechanical ModelingStudy. Journal of Biomechanical Engineering. 2021, 143(9):091003.  doi: 10.1115/1.4050911.     

[3] Liang Wang, Dalin Tang, Akiko Maehara, Zheyang Wu, Chun Yang, David Muccigrosso , Mitsuaki Matsumura, Jie Zheng, Richard Bach, Kristen L. Billiar, Gregg W Stone, Gary S. Mintz. Using Intravascular Ultrasound Image-Based Fluid-Structure Interaction Models and Machine Learning Method to Predict Coronary Plaque Vulnerability Change. Computer Methods in Biomechanics and Biomechanical Engineering. 2020, 23:15, 1267-1276, DOI: 10.1080/10255842.2020.1795838.

[4] Liang Wang, Dalin Tang, Akiko Maehara, David Molony, Jie Zheng, Habib Samady, Zheyang Wu, Wenbin Lu, Jian Zhu, Genshan Ma, Don P. Giddens, Gregg W Stone, Gary S. Mintz. Multi-Factor Decision-Making Strategy for Better Coronary Plaque Burden Increase Prediction: A Patient-Specific 3D FSI Study Using IVUS Follow-Up Data. Biomechanics and Modeling in Mechanobiology, 2019, 18(5): 1269-1280.

[5] Liang Wang, Dalin Tang, Akiko Maehara, Zheyang Wu, Chun Yang, David Muccigrosso, Jie Zheng, Richard Bach, Kristen L. Billiar, Gary S. Mintz. Fluid-Structure Interaction Models Based on Patient-Specific IVUS at Baseline and Follow-up for Prediction of Coronary Plaque Progression by Morphological and Biomechanical Factors: A Preliminary Study. Journal of Biomechanics. 68: 43-50. 2018. 

[6] Liang Wang, Jian Zhu, Habib Samady, David Monoly, Jie Zheng, Xiaoya Guo, Akiko Maehara, Chun Yang, Genshan Ma, Gary S Mintz, Dalin Tang. Effects of residual stress, axial stretch and circumferential shrinkage on coronary plaque stress and strain calculations: a modeling study using IVUS-based near-idealized geometries. Journal of Biomechanical Engineering, 2017, 139(1): 014501-014501-11. doi:10.1115/1.4034867.

[7] Liang Wang, Jie Zheng, Akiko Maehara, Chun Yang, Kristen L. Billiar, Zheyang Wu, Richard Bach, David Muccigrosso, Gary S. Mintz, Dalin Tang. Morphological and Stress Vulnerability Indices for Human Coronary Plaques and Their Correlations with Cap Thickness and Lipid Percent: An IVUS-Based Fluid-Structure Interaction Multi-Patient Study. PLoS Computional Biology. 2015, 11 (12): e1004652. doi:10.1371/journal.pcbi.1004652. eCollection.  

[8] Liang Wang, Zheyang Wu, Chun Yang, Jie Zheng, Richard Bach, David Muccigrosso, Kristen Billiar, Akiko Maehara, Gary S. Mintz and Dalin Tang.IVUS-Based FSI Models for Human Coronary Plaque Progression Study: Components, Correlation and Predictive Analysis.Annals of Biomedical Engineering. 2015, 43(1): 107-121.  

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