KANEKO Hiromasa

Associate Professor, School of Science and Technology,
Meiji University

SDGs theme

Research fields:
Chemoinformatics, materials informatics, process informatics

Research themes:
Molecular design, material design, process design, process management, process control, soft sensor, fault detection, data analysis, machine learning

Relevant links:
Laboratory website:

Main books and papers:
◆“Ensemble Just-in-time Model Based on Gaussian Process Dynamical Models for Nonlinear and Dynamic Processes”, Chemom. Intell. Lab. Syst., 203, 104061, 2020.
◆“Data Visualization, Regression, Applicability Domains and Inverse Analysis Based on Generative Topographic Mapping”, Mol. Inf., 38, 1800088, 2019.
◆“Estimation of Predictive Performance for Test Data in Applicability Domains Using y-randomization”, J. Chemom., 33, e3171, 2019.