Introduction of the Fellows

Analyzing data to reveal its underlying mechanism

For 35 years, I have been involved in research and development of control technologies for various processes in the steel industry. Creating models based on data analysis is a major element among this work. What I have learned through this work is that it is important not to treat data as a "black box" as a lump of simple numerical values, but to carefully examine the analysis results, taking advantage of the knowledge of experts in processes and materials, and analyze the mechanism by which the data were formed.

Control technology, beginning with data analysis, is a versatile technology that can be applied to any field. With progress in sensors, IoT and other technologies, there are now areas where big data has become accessible, but this does not mean that data collection is simple in every field. Our aim is to be a partner that can provide real solutions to clients by treating each piece of data as important and elucidating the underlying mechanism behind data in collaboration with this company's specialists in various fields.