Big Data Analytics & Intelligent Computing Laboratory

Dr. Shu-Kai Fan

Established: 2017.08

Location: Room 429, 4F Hong-Yue Technology Research Building

Website: Website: http://edaolab.blogspot.com/ 

The research areas of LAB 429 focus on state-of-the-art methodological developments of big data analytics and machine deep learning approaches in advanced process control (APC). Wide ranges of applications include semiconductor front-end-of-line (FEOL) and back-end-of-line processes, TFT-LCD production, electronics manufacturing, and ICT-related processing steps. The current research topics contain fault detection and classification (FDC), fault diagnostic, intelligent R2R control, virtual metrology (VM), prognostics and health management (PHM), predictive maintenance (PdM), yield prediction (YP) and self-assured semi- and un-supervised learning methodologies. With the preceding technological accomplishments, smart manufacturing within the realm of artificial intelligence can be realized towards the implementation of Industry 4.0.