Modular Wide-field Image Stitching Model and Measurement System, Sun Yat-sen University (Oct 2022 – Dec 2023)

• Led the development of a multi-camera system for high-precision 3D measurement using image stitching techniques.
• Designed and implemented an innovative binocular stitching imaging model to enable precise distance measurement through binocular intersection solutions.
• Utilized the OpenCV library to execute key image processing algorithms, including image rectification, SIFT-based feature detection, feature matching, and image stitching.
• Built a Qt-based software application in C++ for multi-camera control, synchronized image capture, real-time image processing, and distance measurement.
• Verified system accuracy through experiments, achieving a measurement error rate of 0.3153% in 3D measurements.

Aerodynamic Analysis of Airfoil Shapes using Vortex Panel Method, Sun Yat-sen University (Jun 2023 - Jul 2023)

• Built a Python-based tool for analyzing lift coefficients of various airfoils (e.g., NACA 0012, NACA 2410) using the Vortex Panel Method.
• Applied cubic polynomial curve fitting to model airfoil camber lines from imported datasets.
• Developed algorithms to calculate vortex and control point distributions for solving aerodynamic equations numerically.
• Simulated and visualized lift coefficient variations across angles of attack (-50° to 50°), using Matplotlib for comparative analysis.

2D Lid-driven Cavity Flow Simulation Project, Sun Yat-sen University (Jun 2024)

• Developed a Python-based computational fluid dynamics simulation for 2D lid-driven cavity flow at high Reynolds.
• Implemented and optimized iterative algorithms, achieving convergent solutions at Re=7500 on a 150x150 grid after 542,404 iterations.
• Conducted comprehensive analysis and visualization of simulation results, validating the computational model.

Personal Website (Nov 2024)

• Developed a fully functional portfolio website to showcase technical projects and experience.
• Designed and implemented responsive front-end pages using HTML, CSS, and JavaScript.
• Deployed the site on Oracle Cloud VPS, configured Nginx for web server management and optimized access.
• Optimized website performance and security by integrating Cloudflare CDN for global acceleration and implementing SSL certificates for encrypted access.

A Data-driven Multi-grid Acceleration Algorithm for CFD, Sun Yat-sen University (In Progress)

• To develop a data-driven approach for constructing "coarse spaces" in parallel finite element computations, reducing matrix conditioning challenges.
• To use neural networks to adaptively generate coarse spaces based on local flow parameters, optimizing iterative solvers for CFD problems.
• To accelerate convergence in large-scale simulations by improving initial guesses with adaptive coarse problem strategies.