Faculty (researcher) information

Haruhiko Nishimura Nishimura Haruhiko

Nishimura Haruhiko

Research Topics: Intelligent Systems Science Brain function modeling Machine Learning / AI Healthcare Informatics Data Health

comment: Main research vision:
1. We are working to advance intelligent systems and their applications through neural network modeling of brain functions related to information representation, sensation, memory, and cognition in the brain, and an information-theoretic approach based on insights from neuroinformatics.
2. Through the construction of new machine learning and knowledge management based on soft computing techniques, we aim to realize high-quality and flexible intelligent technologies, including decision-making and judgment support, and apply them to practical business operations such as data health.
3. Model the self-organizing mechanisms of information systems based on nonlinear science such as chaos, fractals, and fluctuations, as well as complex systems network science, and apply these models to improve pathological conditions in the brain and living organisms, and to address dysfunction in society.

Main publications and papers: From recent performance:
Controlling Integration and Segregation in Echo State Networks via Noradrenaline and Acetylcholine Neuromodulation
Sou Nobukawa, Aya Shirama, Yusuke Sakemi, Eiji Watanabe, Teijiro Isokawa, Haruhiko Nishimura, Kazuyuki Aihara
2026
Enhancing Chaotic Resonance in Asymmetric Cubic Maps via Double-Gaussian Asymmetric Feedback
Anh Tu Tran, Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki, Hirotaka Doho, Teruya Yamanishi, Haruhiko Nishimura
IEEE Access 2026
Extremely Weak Feedback Signal for Controlling Chaotic Synchronization Maintaining Asynchronous States in Coupled Oscillators
Anh Tu Tran, Sou Nobukawa, Nobuhiko Wagatsuma, Keiichiro Inagaki, Hirotaka Doho, Teruya Yamanishi, Haruhiko Nishimura
Nonlinear Theory and Its Applications, IEICE 2025
Impact of time-history terms on reservoir dynamics and prediction accuracy in echo state networks
Yudai Ebato, Sou Nobukawa, Yusuke Sakemi, Haruhiko Nishimura, Takashi Kanamaru, Nina Sviridova, Kazuyuki Aihara
Scientific Reports 14(1) 2024
The Changes in Relative Blood Volume During Dialysis are Characterized by Ultrafiltration Rate and Predialysis Blood Test Values.
Tomoyuki Tanaka, Yoshifumi Kawakubo, Takeshi Shigematsu, Haruhiko Nishimura
Blood Purification 2024

Awards: Paper Award, "Analysis of the year-on-year trends and patterns in consultation content at cancer consultation support centers," Japan Society for Kansei Engineering (September 2022)
Achievement Award, University of Hyogo (March 2021)
Technical Award, "Effective Understanding of Work Practices Using Fieldwork Techniques," Japan Society for Kansei Engineering (September 2010)
Governor's Commendation, Hyogo Prefecture (November 2009)
Paper Award, "Enhanced Adaptive Scheme Using Chaotic Neural Networks," Society of Systems, Control and Information Engineers (May 2001)

Main classes taught: Learning Guide A & B, Information Utilization I & II, Information Systems Theory I