Labs

Sports Physiology, Informatics and Engineering Laboratory

STAFFDai Okushima

Sports Engineering and Informatics Laboratory

STAFFSatoshi OHASHI, Masahito NAGAMORI

Perceptual Informatics Laboratory

STAFFKatsuko Nakahira

Experimental Psychology Laboratory

STAFFYoritaka Akimoto

Medical and Human Support Engineering Laboratory

STAFFKousuke Oiwa

In the Medical and Human Support Engineering Laboratory, we conduct research on estimating and predicting changes in human states from biomedical and clinical time-series data, based on biomedical measurement, medical AI, image and signal processing, and machine learning. We aim to develop non-contact and unobtrusive sensing technologies and time-series AI to support healthcare, education, and daily life, targeting data such as blood pressure, blood glucose, facial images, ear-canal pressure pulse waves, and ICU/clinical time-series data.

Biomedical and clinical data are not merely “numerical values at a single time point,” but time-series information that changes over time. In our laboratory, we study AI technologies that predict future state changes and risks from such temporal patterns and support decision-making in medical, educational, and daily-life settings. In particular, we aim to advance medical and human support engineering by viewing intradialytic hypotension, blood glucose fluctuations, hemodynamic changes, psychophysiological states, and clinical time-series data from the perspective of future prediction.

Cognitive Neuroinformatics Laboratory

STAFFHirokazu Doi

Ambient Biomedical Engineering Laboratory

STAFFShusaku Nomura

RESEARCH FIELD:
Ambient Engineering, Biomedical Engineering, KANSEI physiology, Biological Information Processing

RESEARCH TOPICS:
1) Development on ambient biomedical systems which feedbacks human physiological information with controlling ambient circumstance to adapt or regulate humane mental and/or somatic condition
2) Development on apparatus to determine human hormonal secretion in the non-invasively and less stress manner toward the objective human stress determination

Theoretical Life Science Laboratory

STAFFYuta Nishiyama

Research Fields
Living Systems, Internal Measurement

Research Topics
Emergent computing, Multisensory system, Collective behaviour, Adaptability

Theory of Machine Learning Laboratory

STAFFKumoi Gendo

We aim to elucidate the theoretical foundations of machine learning and deep learning, and on that basis to realize multimodal AI integrating heterogeneous data (imagery, weather, etc.) and advanced data-driven decision-making powered by large language models. We also train data-science talent through educational engineering to build society’s AI infrastructure.

3E (Energy, Economy, Environment) Laboratory

STAFFLI Zhidong

Management Sociology Laboratory

STAFFNobumichi Watahiki

Knowledge Systems Laboratory

STAFFTakashi Yukawa

Knowledge Media Laboratory

STAFFTessai Hayama

Safety Data Management Laboratory

STAFFZHANG Kun