Yu-Chen Chou
Algorithm/Software Engineer
Masters degree in Department of Photonics, NYCU
About Me
A results-driven engineer with a Master’s degree in Optical Engineering and extensive hands-on experience in display technology. Expert in developing algorithms for image quality analysis and optimization of mini/micro-LED panels. Familiar with mass transfer and quality control technologies in microLED production, and skilled at optimizing testing procedures through custom automation tools.
Skills
Languages
Mandarin (Native), English (TOEIC: 990, IELTS Academic: 8)
Programming & Tools
Python, PyTorch, OpenCV, MATLAB, C/C++, LightTools
Measurement Tools
Radiant Vision Systems ProMetric-I, Konica Minolta CA-410
Specialized Areas
Image Processing, Deep Learning, Display Metrology, Color Science
Education
Thesis: "Pixelwise Illuminance Registration for Displays at Oblique Perspectives"
Overall GPA: 3.96/4.3
Student Project: "Analysis and Improvement of Image Quality for Integral Imaging Displays"
Work Experience
MicroLED / MiniLED display Project:
- LED chip and display metrology
- LED display pixelwise luminance and chromaticity correction algorithm
- LED display image quality analysis
- LED display image quality improvement algorithm
MicroLED / MiniLED manufacturing:
- Mass transfer machine operator
- LED electrical testing machine operator
- Coding tools for LED quality data analysis
Optical Communication:
- Research and development
Projects
Normal Map Generator
Implemented UNet to generate a normal map or displacement map from a photo texture.
Fast Style Transfer CNN
Implemented a Convolutional Neural Network (CNN) to transfer the style of a reference image onto a target image.
Image Generation with VAE
Implemented a VAE (Variational Autoencoder) to generate images of handwritten numbers and anime faces.