Researcher Database

（Last updated : 2024-06-23 04:15:58）　

KASHIHARA KOJI

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Professor

Other Affiliations
1.	Graduate School of Information Science and Engineering

Academic background
1.	2001/03 Degree Acquisition	│ Tokyo Institute of Technology Ph.D. (Engineering)
2.	～1998/03	Doctoral Program (1st Semester) │ Department of Human System Science │ Graduate school of Decision Science and Technology │ Tokyo Institute of Technology │ Completed
3.	～2001/03	Doctoral Program (2nd Semester) │ Department of Human System Science │ Graduate school of Decision Science and Technology │ Tokyo Institute of Technology │ Completed

Committee and society
1.	2023/10/01 ～ 2023/10/04	IEEE SMC 2023 Paper Review Committee
2.	2011	The book of “Cognitively Informed Intelligent Interfaces: Systems Design and Development.” Members of the review board
3.	2009	IEEE SMC 2009 International Conference Technical committee

Research activities
1.		IEEE (SMC)
2.		The Society of Instrument and Control Engineering
3.		The Institute of Electronics, Information and Communication Engineers
4.		Japan Society of Physiological Anthropology
5.		The Japanese Society of Baby Science

Subject of research
1.	Development of automated drug infusion systems
2.	Evaluation of autonomic nervous activity
3.	Evaluation of higher brain functions

Research summary
Evaluation of higher brain functions and autonomic nervous activity by biological measurements 1)This laboratory researches advanced brain activity (e.g., working memory) during cognitive processes, based on the time-frequency analysis of EEG and MEG recordings. The activation patterns of brain activity can be investigated by wavelet analysis and 3D-mapping data in a specific frequency band. In particular, we focus on the appearance of theta waves (i.e., EEG of 4–8 Hz) as neuronal activation in the frontal lobe because they indicate short-term memory and attention/concentration. We also develop a feedback system to prevent accidents, analyzing the features of operators’ attention/concentration and autonomic nervous activity (the pulse wave and ECG). Furthermore, we construct the human interfaces that reflect individual preferences and facilitate nonverbal communication, abstracting the emotional changes from microsaccadic activity and event-related potentials. 2)In a critical-care patient with heart failure, the maximum therapeutic effect directly links to a decrease in fatality rates. In particular, the arterial baroreceptor reflex (i.e., regulation of autonomic nervous activity and arterial blood pressure in the medulla oblongata) plays a crucial role in maintaining life activities. We develop an automated drug infusion system with neural networks and adaptive predictive control, which can flexibly adapt to sudden or long-term changes in a patient’s condition: in other words, nonlinear and time-variant responses under drug interactions with disturbances. This system is based on mathematical modeling of biological responses and it can result in an optimal and stable control for hemodynamics in heart failure patients, even under unknown conditions.

Present specialized field
Cognitive science, Human interface and interaction, Intelligent informatics, Kansei informatics, Biomedical engineering/Biomaterial science and engineering, Medical systems, Applied health science (Keyword：Biomedical Engineering, Bio-Signal Processing, Human Interface)

Papers
1.	2024/06	Human brain judgment and automated classification of masked facial expressions │ International Journal of Smart Computing and Artificial Intelligence International Institute of Applied Informatics │ 8 (1),pp.IJSCAI820 (Co-authored)
2.	2022/07/02	The Judgment of Masked Facial Expressions by Humans and Classifiers │ 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) │ ,pp.283-286 (Co-authored)
3.	2022/04/28	Effects of facial expression and gaze interaction on brain dynamics during a working memory task in preschool children │ 17 (4),pp.e0266713 (Co-authored)
4.	2021/09/10	Dangerous behavior patterns of a child with a mother based on tracking analysis │ Proceedings of the SICE Annual Conference 2021 (SICE 2021) │ ,pp.1234-1237 (Co-authored)
5.	2021/09/08	Effects of emotional stimulation on working memory │ Proceedings of the SICE Annual Conference 2021 (SICE 2021) │ ,pp.571-573 (Co-authored)
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