Faculty Information - Mimura Kazushi |

（Last updated : 2025-07-26 22:36:38）

Mimura Kazushi

Department / Course

Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems

Hiroshima City University Faculty of Information Sciences Department of Intelligent Systems

Job Professor

Business career
2008/09/22 ～ 2008/11/14	Academic Visitor, King's College, University of London
2017/04/01 ～	Professor Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems
2017/04/01 ～	Professor Hiroshima City University Faculty of Information Sciences Department of Intelligent Systems

Academic background
	Ph.D.(Science)
～1999/03	Graduate School, Division of Engineering Science Osaka University


The research topics is mainly in the field of statistical mechanical informatics and information theory, especially, I’m interested in analysis of properties on the error correction codes, compressed sensing, and deep learning, and nonlinear dynamics. I’m proceeding with analysis of the reconstruction algorithms of compressed sensing, influence of quantum effects for decoding algorithms, and development of a optical device for compressed sensing. In addition, I investigate properties on signal propagation in random deep networks. In the field of nonlinear dynamics, I’m proceeding analysis of the properties of systems with many-body systems. In terms of education, I am in charge of lectures related to these.

Present specialized field
Intelligent informatics, Theory of informatics keyword(statical mechanical informatics, coding theory, information theory, mathematical engineering)

Book and thesis
Papers	Making Clustering Methods Workable for Shapes Using the Ordinary Procrustes Sum of Squares 169,pp.111878 (Co-authored) 2026/01
Papers	Heart Rate and Facial Expression Data Influence the Ease of Communication in a Remote Work Set-up IEEE Transactions on Affective Computing (Co-authored) 2025
Papers	Highly Versatile FPGA-Implemented Cyber Coherent Ising Machine IEEE Access 12,pp.175843-175865 (Co-authored) 2024/11
Papers	Photoemission Orbital Tomography Using Robust Sparse PhaseLift 128 (13),pp.2672-2679 (Co-authored) 2024/03/26
Papers	Effective implementation of L0-Regularised Compressed Sensing with Chaotic-Amplitude-Controlled Coherent Ising Machines Scientific Report 13,pp.16140 (Co-authored) 2023/09/26
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Academic conference presentation
2024/09	On Statistical Mechanical Informatics: from Spin Glass to Information Processing (情報・計算・暗号の融合による新しい数理基盤の創出)
2023/08	Effective implementation of L0-Regularised Compressed Sensing with Chaotic-Amplitude-Controlled Coherent Ising Machines (The 28th International Conference on Statistical Physics (STATPHYS28))
2021/08	Typical Performance of Iterative Reweighted Lasso for Compressed Sensing (The 29th Europian Signal Processing Conference (EUSIPCO2021))
2020/10	Property of Quantum Decoding for Sourlas Codes of Which Tuples Are Randomly Decimated (The 2020 International Symposium on Information Theory and Its Applications (ISITA2020))
2019/08	Dynamics of Damped Approximate Message Passing Algorithms (The 2019 Information Theory Workshop (ITW2019))
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Winning science prize
1995	Best Research Award from Japanese Neural Network Society

Belonging society
	IEEE
	The Institute of Electronics, Information and Communication Engineers
	The Physical Society of Japan