Human behavior modeling with Inverse optimal control
People flow modeling from massive GPS data
Machine learning for IoT / mobile phone sensing
We develop techniques for modeling human behaviors obtained by ubiquitous technologies. Specifically, we are working on the development of statistical machine learning including Bayesian analysis, and deep learning, and data analysis for IoT, and mobile phone sensor data. Based on these technologies, we are also pursuing the innovation in various service technologies where these behavioral modeling technologies are helpful.