Data Science

Data science at SCCH encompasses data-to-knowledge conversion by data-driven modeling for data-intensive applications such as fault diagnosis, quality inspection, predictive maintenance, process understanding and optimization. The driving methodology behind this research has been machine learning in combination with mathematical modeling based on signal and image processing, game theory and optimization.