Dr Jiaqiu Wang

My research area lies within biomedical engineering, with a primary focus on the computational biomechanical analysis of the cardiovascular system. I've made notable contributions, including the development of an innovative algorithm that automatically reconstructs 3D patient-specific coronary atherosclerotic models using optical coherence tomography (OCT) data. This algorithm significantly improves the accuracy and efficiency of generating personalized models for further analysis. 

I've also successfully integrated the fluid-structural interaction (FSI) analytical model into patient-specific cardiovascular models, providing a more comprehensive understanding of the complex interactions between blood flow and the vessel wall. One significant application is the development of a protocol for assessing plaque vulnerability based on biomechanical risk factors using FSI computational models. This protocol has had a substantial impact on clinical decision-making and treatment strategies in patient-specific clinical cases involving carotid and coronary arteries.

In addition to these contributions, I've conducted novel investigations using the FSI model to explore the hemodynamic environment in a cyclic bending coronary artery under different heart rates, as highlighted in my most recent published research.

Beyond mechanical and fluidic computational models, I have extensive experience in working in medical imaging analysis. I currently lead a collaborative team working on an innovative imaging-based method for analysing displacement and strain. Our approach combines optical coherence tomography (OCT) imaging with the digital volume correlation (DVC) algorithm. Furthermore, we actively implement digital imaging/volume correlation (DIC/DVC) and optical flow (OF) algorithms on 4D-CT/MR imaging data of heart chambers or aneurysms, allowing us to track the displacement of these structures over time and calculate biomechanical parameters such as strain.

In the field of MR imaging processing, I've conducted research on fitting the intravoxel incoherent motion (IVIM) sequence using a quasi-diffusion equation, offering potential applications in differentiating glioblastoma by analysing diffusion and perfusion parameters. Additionally, I bring valuable experience in analysing CT imaging of bone structures.

Leading & Lecturing

CSI_7_IDP, Information and Data Privacy (2025 - )

CSI_7_SYS, Cyber Threats, Vulnerabilities and Countermeasures (2024 - )

CSI_6_SCS, Systems and Cyber Security (2024)

Tutoring

CSI_4_RAU, Requirements Analysis and User-centred Design (2026 - )

CSI_7_MAL, Machine Learning (2025 - )

CSI_4_DMA, Discrete Mathematics (2024 - )

Graduating Projects

CSI_7_PRO, Dissertation (2023 - )

CSI_6_CSP, Honours Computer Science Project (2023 - )

Associate Editor, Frontiers in Bioengineering and Biotechnology
Innovative Measurement Techniques in Tissue Biomechanics: From Cellular to Whole-Body Models (topic)

Young Editorial Board Member, International Journal of Fluid Engineering (IJFE)

Guest Associate Editor, Frontiers in Stroke
Fluid-structural Interactive Modeling of Vascular Mechanics and Cerebral Hemodynamics (topic)

Reivew Editor, Frontiers in Bioengineering and Biotechnology
Motion Tracking and Deformation Analysis in Biomechanics (topic)