Dr. Wang Haifeng’s primary research interests lie in the application of computer technologies, including FEM, LBM, IBM, and ML, to study cardiovascular and cerebrovascular diseases and their respective treatments. During his Ph.D., he focused on the development of FSI computational models and applied them to the study of aneurysm-associated hemodynamics and tissue degradation. In his postdoctoral stage, he was committed to combining computational biomechanics with animal experiments to study myocardial ischemia and its treatments. He has published 10 SCI papers so far. He serves as a Reviewer for multiple journals, including Computers in Biology and Medicine, Neurocomputing, Biomech Model Mechanobiol, Sci Rep, Journal of Biological Physics, Journal of Cardiothoracic Surgery, QIMS, Heliyon, Proc Inst Mech Eng C: J Mech Eng Sci, and has been invited to serve as a Guest Editor for JoVE (Journal of Visualized Experiments), Bioengineering, and other journals.

Research Fields

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Computational biomechanics, Cardio-cerebrovascular diseases and their treatments, Machine learning

Education

————————————————————————————————————————————2017.06–2022.01 Joint Ph.D. program between Ruhr-University Bochum and International Max Planck Research School (IMPRS), Mechanical Engineering, PhD

2014.10–2016.10 Ruhr-University Bochum, Computational Engineering, Master

2009.09–2013.07 Northwest A&F University, Mechanical Design,Manufacturing and Automation, Bachelor

Work Experience

————————————————————————————————————————————2024.11–Present Lecturer, Department of Biomedical Engineering, Shantou University

2022.06–2024.10 Postdoctoral Research Associate, Michigan State University

2022.01–2022.05 Postdoctoral Fellow, Ruhr-University Bochum

2016.07–2017.05 Research Assistant, Ruhr-University Bochum

Research projects

————————————————————————————————————————————STU Scientific Research Initiation Grant (SRIG), 2025.1-2027.12

Publications

————————————————————————————————————————————1.Wang H, Choy JS, Kassab GS, Lee LC. Computer model coupling hemodynamics and oxygen transport in the coronary capillary network: Pulsatile vs. non-pulsatile analysis. Comput Methods Programs Biomed. 2025 Jan;258:108486. doi: 10.1016/j.cmpb.2024.108486.

2.Wang H, Fan L, Choy JS, Kassab GS, Lee LC. Mechanisms of coronary sinus reducer for treatment of myocardial ischemia: In silico study. J Appl Physiol. 2024;136(5):1157-1169. doi: 10.1152/japplphysiol.00910.2023.

3.Wang H, Fan L, Choy JS, Kassab GS, Lee LC. Simulation of coronary capillary transit time based on full vascular model of the heart. Comput Methods Programs Biomed. 2024;243:107908. doi: 10.1016/j.cmpb.2023.107908.

4.Wang H, Uhlmann K, Vedula V, Balzani D, Varnik F. Fluid-structure interaction simulation of tissue degradation and its effects on intra-aneurysm hemodynamics. Biomech Model Mechanobiol. 2022;21(2):671-683. doi: 10.1007/s10237-022-01556-7.

5.Wang H, Balzani D, Vedula V, Uhlmann K, Varnik F. On the potential self-amplification of aneurysms due to tissue degradation and blood flow revealed from FSI simulations. Front Physiol. 2021;12:785780. doi: 10.3389/fphys.2021.785780.

6.Wang H, Krüger T, Varnik F. Geometry and flow properties affect the phase shift between pressure and shear stress waves in blood vessels. Fluids. 2021;6(11):378. doi: 10.3390/fluids6110378.

7.Wang H, Krüger T, Varnik F. Effects of size and elasticity on the relation between flow velocity and wall shear stress in side-wall aneurysms: A lattice Boltzmann-based computer simulation study. PLoS ONE. 2020;15(1):e0227770. doi: 10.1371/journal.pone.0227770.

8.Fan L+, Wang H+, Kassab G, Lee L. Review of cardiac-coronary interaction and insights from mathematical modeling. WIREs Mech Dis. 2024;16(3):e1642. doi: 10.1002/wsbm.1642. +Co-first authors.

9.Naghavi E, Wang H, Fan L, Choy J, Kassab G, Baek S, Lee L. Rapid Estimation of Left Ventricular Contractility with a Physics-Informed Neural Network Inverse Modeling Approach. Artif Intell Med. 2024;157(1):102995. doi: 10.1016/j.artmed.2024.102995.

10.Choy J, Hubbard T, Wang H, Awakeem Y, Khosravi P, Khadivi B, Navia J, Stone G, Lee L, Kassab G. Preconditioning with Selective Autoretroperfusion: In vivo and in silico evidence of washout hypothesis. Front Bioeng Biotechnol. 2024;12:1386713. doi: 10.3389/fbioe.2024.1386713.

Teaching

————————————————————————————————————————————Fundamentals of Biomedicine II - Metabolism & Regulation

Physics for Biomedical Engineering - Electricity

Research Methodology