Jiaxuan Fan
Ottawa,ON
Summary
Engineer graduate with international experience in developing and validating advanced modeling solutions. Skilled in building and testing simulation frameworks, analyzing system performance, and applying data-driven methods to improve accuracy. Passionate about leveraging simulation to drive innovation and deliver reliable engineering outcomes.
Overview
1
1
year of professional experience
Work History
Internship
Scania AB
06.2025 - 09.2025
- Responsible for conducting Software-in-the-Loop (SiL) simulations by modifying and testing Simulink models to evaluate powertrain system behavior. Developed and integrated Functional Mock-up Units (FMUs) for simulation runs, ensuring compatibility with existing frameworks. Performed calibration using real-world measurement data; achieved a model accuracy of approximately 80%, providing valuable insights for system validation.
Research Assistant
Kth Royal Institute Of Technology
10.2024 - 01.2025
- The FSI (Fluid-Structure Interaction) modeling of the aortic root structure was performed with STAR-CCM+ to simulate the pressure and stress distribution on the tissue under different balloon placement strategies, with the objective of predicting postoperative outcomes and exploring potential tissue damage mechanisms..
Education
Graduate Studies - Mechatronics
KTH Royal Institute of Technology
Stockholm, Sweden06-2025
MSc. - Engineering Fluid Mechanics
Imperial College London
04.2024
BEng. - Mechanical Engineering
University of Edinburgh
07.2021
Skills
- CFD & Simulation: Proficient in STAR-CCM, ANSYS, and OpenFOAM for computational fluid dynamics and multiphysics modeling
- CAD & Design: Experienced in delivering efficient CAD design solutions for engineering applications
- System Modeling: Advanced expertise in MATLAB/Simulink for dynamic system modeling, control design, and simulation
- Programming & Development: Skilled in C, C, and Python for software development and algorithm implementation
- Machine Learning & Data Analysis: Applied ML techniques for data-driven analysis, image recognition and feature extraction
Publications
Fan, J., & Sundström, E. (2025). Vortex dynamics in the sinus of Valsalva. Bioengineering, 12(3), 279. https://doi.org/10.3390/bioengineering12030279
Timeline
Internship
Scania AB
06.2025 - 09.2025
Research Assistant
Kth Royal Institute Of Technology
10.2024 - 01.2025
BEng. - Mechanical Engineering
University of Edinburgh
Graduate Studies - Mechatronics
KTH Royal Institute of Technology
MSc. - Engineering Fluid Mechanics
Imperial College London
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