I am a dedicated Master's student, specializing in Intelligent Transportation Systems (ITS). My academic journey is characterized by:
A strong passion for applying artificial intelligence techniques to optimize complex systems and to solve real-world problems.
Deep involvement in traffic flow optimization and efficient network structures.
Advanced skills in parallel computing, leveraging C++, Python, and CUDA.
Commitment to continuous and lifelong learning.
Technical Skills
Languages
C++
Python
CUDA
LaTeX
HTML/CSS
Tools
Git/GitHub
VS Code
Jupyter Notebook
Linux Shell
Gurobi
Frameworks and Libraries
PyTorch
Sklearn
Pandas
NumPy
Matplotlib
Research Experience
Vehicle route guidance strategy based on neural networks: Focused on proposing new strategies that is more effective and adaptable than traditional strategies.
New methods for complicating traffic scenarios: Constructed new scenarios to more comprehensively validate new strategies, fully demonstrating their advantages.
Simulation method based on CUDA parallel computing: Optimized the existing simulation methods, significantly increased the computing speed, and improved the efficiency of validation.
