Yuxuan Yan
Building with AI. Exploring beyond.
Machine Learning graduate student at NTU, Singapore. Exploring how AI can solve real-world problems through engineering, research, and experimentation.
01About
Engineering, research and curiosity
I'm a master's student in Signal Processing and Machine Learning at Nanyang Technological University, after a bachelor's degree in Energy Storage Science and Engineering at Wuhan University. My work sits where machine learning meets real systems — medical imaging, battery data and the energy transition. YanX is where I build, write and share what I learn.
More about meInterests
- 01Artificial Intelligence
- 02Machine Learning
- 03Applied AI Engineering
- 04Reinforcement Learning
- 05Energy AI
- 06Electric Vehicles & Smart Grids
- 07Data Engineering
- 08Real-world AI Applications
02Selected work
Projects
- 01
Sparse-View CT Reconstruction
Physics-guided deep learning for reconstructing CT volumes from a small number of projections — my undergraduate final-year project, carried out as a research intern at A*STAR I2R.
Machine LearningPyTorch · 3D U-Net · VGGT - 02
Battery Test Data Mining
Feature extraction and anomaly detection on large-scale battery test time-series during an internship at EVE Energy.
Energy AIPython · Pandas · NumPy - 03
Xscholar
An academic-literature assistant with automated retrieval, built solo and deployed during the Singapore AI Hackathon.
AI EngineeringOpenClaw · LLM agents · Retrieval
03Writing
Recent notes
- 1 min read
Engineering
Building yuxuanyan.com
The stack and a few design decisions behind this site: bilingual routing, a database-backed CMS, and security by default.
- 1 min read
Research Notes
A Primer on Sparse-View CT Reconstruction
Why fewer projections make CT reconstruction ill-posed, what filtered back-projection assumes, and where deep learning fits in.
04 — Contact
Let’s build something useful.
I’m open to research collaborations, engineering roles and conversations about applied AI.