Yuxuan Yan · YanX / 盐鱼鲜
About
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.
Education
Nanyang Technological University (NTU), Singapore M.Sc. in Signal Processing & Machine Learning · Aug 2026 – Jan 2028 (expected)
Wuhan University, China B.Eng. in Energy Storage Science & Engineering · Sep 2022 – Jun 2026
Experience
A*STAR Institute for Infocomm Research (I2R) — Undergraduate Research Intern · Jan – May 2026 Sparse-view CT reconstruction with physics-guided deep learning.
EVE Energy Co., Ltd — Battery Testing & Data Mining Intern · Jul – Aug 2024 Feature extraction and anomaly detection on battery test time-series.
Direction
I want to build AI systems that work outside the notebook: models that are measured honestly, engineered carefully and deployed where they make a difference — especially in energy and other physical systems.
Journey
I started in energy storage engineering, where I first saw how much signal hides in messy industrial data. Research on CT reconstruction then pulled me deeper into deep learning and inverse problems, and that path led me to Singapore and NTU.