I’m a Computational and Applied Mathematics Master's student at Friedrich-Alexander-Universität Erlangen-Nürnberg. I specialize in Modeling and Optimization, and I’m passionate about Machine Learning, Computer Vision, Robotic Simulation and Numerical Methods.
- Languages: Python, C++, SQL
- Tools: Git, Linux, PyCharm, VS Code, Webots
- Libraries: OpenCV, NumPy, Pandas, Matplotlib, TensorFlow, Keras, SciPy
- Techniques: PDEs, Finite Element Method (FEM), Finite Difference Method (FDM), Machine Learning (ML), Deep Learning (DL)
Here are some of the projects I've worked on:
- Study Notes: This repository contains comprehensive study notes and project materials covering key topics in robotics, control, reinforcement learning, and essential tech tools for modern development workflows.
- A Hybrid Approach for Balancing a Two-Wheeled Humanoid Robot
This project presents a hybrid control framework aimed at achieving robust balance control for a two-wheeled humanoid robot.
- Visioncar-Ros2: A ROS 2-based simulation of a 4-wheeled car using a front camera to follow a visual path in Gazebo. Implements basic control strategies and sensor integration.
- PINN-2dNSEs: Built a PINN model using TensorFlow to solve time-dependent Navier Stokes Equations.
- Heat Equation: Built a PINN model using TensorFlow to solve Heat Equation, also include FDM, Fourier method for comparison.
- Just-For-Fun: Here’s a collection of fun projects—some might be failed experiments, while some result in interesting creations. Dynamic Mode Decomposition, Fourier method, RCNN
- Mathematical Image Processing: I worked on mathematical optimization for image processing tasks like segmentation and denoising. The results weren’t as good as what CNNs can achieve, but the ideas were still pretty interesting!
Feel free to check out my repositories and explore my work!