🎓 Master of Electrical and Computer Engineering @ Rice University
🧠 Passionate about Computer Vision, Machine Learning, and Autonomous Systems
🔍 Currently: Inverse Imaging with INR | Kolmogorov–Arnold Networks (KAN)
📍 Based in Houston, TX / Hsinchu, Taiwan
| 📌 Implicit Neural Representations (INR) | 🩻 Inverse Imaging (Denoising, Super-Resolution, CT) |
| 🧠 Computer Vision Problems | ⚙️ Efficient Deep Learning (KAN) |
| 🚗 ML for Autonomous Driving | 🖼️ Generative Image Modeling (VAE, GAN, Diffusion) |
| Project | Description |
|---|---|
| STRAINER++ | Research on extening STRAINER for improved inverse imaging (denoising, super-resolution, CT) |
| CLIP Cross-Modal Image Pairing | Semantic understanding and scene separation using vision-language models (CLIP) |
| Planning Under Uncertainty | Implemented a Stochastic Motion Roadmap (SMR) planner in under uncertainty. |
✉️ Email: ah212@rice.edu • 💼 LinkedIn