I'm a Communication Engineering student with a deep passion for science and technology. I enjoy tackling complex problems and exploring advanced fields, such as Graph Neural Networks (GNN), Generative Large Language Models, and Temporal Time Prediction.
- Core Knowledge: Communication Theory, Signal Processing
- Research Interests: Graph Neural Networks, Generative Models, Time Series Prediction
- Programming Languages: Python, MATLAB, C++, Java, Verilog
- Tools: TensorFlow, PyTorch, SciPy, Git, CMake, Vs Code, Docker, JupyterLab
In addition to my major in Communication Principles, I am actively learning full-stack development to gain the freedom to design and build projects I’m passionate about. I look forward to diving into the open-source community, learning from the vast knowledge it offers, and exchanging ideas with friends on cutting-edge technology.
Here are a few projects that I’m currently working on or have completed:
- Graph Neural Network for Social Network Analysis - Using GNNs to analyze and predict behaviors within complex social networks.
- Generative Language Model for Text Synthesis - Developing a generative language model to create contextually relevant text.
- Time Series Forecasting - Implementing models to predict time-dependent patterns in data.
For more projects, check out my GitHub repositories.
- LinkedIn: Your LinkedIn Profile
- Email: [email protected]
I’m always open to connecting with like-minded individuals and exploring collaborative projects!
Outside of academics, I have a diverse range of hobbies:
- 📖 Reading: Diving into scientific journals and literature.
- 🎨 Art: Expressing creativity through painting and drawing.
- 🎼 Music: Playing the pipe organ.
- 🏊♂️ Sports: Swimming, running, badminton, and hiking.
- 🎤 Public Speaking: Enjoying the thrill of engaging with an audience.