Faculty Information - Iwata Kazunori |

（Last updated : 2024-03-19 05:54:46）

Iwata Kazunori

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 Associate Professor

E-Mail Address

Home Page
http://www.prl.info.hiroshima-cu.ac.jp/kiwata/

Business career
2002/04/01 ～ 2005/03/31	JSPS Research Fellow (DC1) JSPS
2005/04/01 ～ 2007/03/31	Research Associate Hiroshima City University Faculty of Information Sciences
2007/04/01 ～ 2010/03/31	Assistant Professor Hiroshima City University Graduate School of Information Sciences
2010/04/01 ～ 2013/03/31	Lecturer Hiroshima City University Graduate School of Information Sciences
2013/04/01 ～	Associate Professor Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems
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Academic background
1996/04～2000/03	Artificial Intelligence and Computer Science Faculty of Engineering Nagoya Institute of Technology Graduated Intelligent informatics Bachelor of Engineering
2000/04～2002/03	Doctoral Program (1st Semester) Electrical and Computer Engineering Graduate School of Engineering Nagoya Institute of Technology Finished Intelligent informatics Master of Engineering
2002/04～2005/03	Doctoral Program (2nd Semester) Systems Science Graduate School of Informatics Kyoto University Finished Mathematical informatics Doctor of Informatics


Educational Activities: In each of the classes I teach, I conduct a questionnaire with exercises and ask students to report the parts they did not understand, and the parts most frequently reported are explained at the beginning of the next class. In addition, class slides and handouts are carefully prepared by clearly indicating the correspondence with the textbook so that students can understand them even if they study on their own later. According to the class questionnaire, these innovations are very well received, and we intend to continue them in the future. Research Activities: I am conducting research activities in pattern recognition and learning theory. I aim to publish at least one paper in an international journal annually. I make time for other activities (educational, social, and university administration) so that I have as much time as possible to concentrate on my research. Research guidance for graduate students is provided flexibly according to each student's interest and achievement level. We also encourage students to actively present their research at academic conferences as part of our research guidance. Social activities: We focus on supporting research activities for high school students in Hiroshima Prefecture. For example, in FY 2018, we provided research guidance to high school students in Hiroshima City as an advisor at the Global Science Campus (GSC) Hiroshima. In addition, as a supervisor and advisor related to the Hiroshima Prefectural Science Seminar, he directly provided comments and evaluations to high school students in the prefecture who presented their research in mathematics.

Present specialized field
Intelligent Informatics, Statistical Science keyword(Pattern Recognition, Machine Learning, Information Theory)

Research topic, funded research, and department laboratory expense
2022/04/01 ～ 2026/03/31	Development of Shape Clustering Methods Using Metric Learning Grant-in-Aid for Scientific Research (C)(General)
2016/10/21 ～ 2019/03/31	Distance Set as a shape descriptor and its improvement Grant-in-Aid for Scientific Research (C)(General)
2010/04/01 ～ 2013/03/31	Curve Matching Algorithms and their Theoretical Analyses Grant-in-Aid for Early-Career Scientists (B)
2006/04/01 ～ 2009/03/31	Asymptotic Analysis of On-line Learning Based on Genelarized Stochastic Processes Grant-in-Aid for Early-Career Scientists (B)
2006/04/01 ～ 2010/03/31	Analysis of Learning Machines Using Information Geometry and Information Theory Grant-in-Aid for Scientific Research (B)(General)
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Book and thesis
Papers	An Extended Scheme for Shape Matching with Local Descriptors IEICE Transactions on Information and Systems E104-D (2),pp.285-293 (Co-authored) 2021/02/01
Papers	Revisiting a Nearest Neighbor Method for Shape Classification IEICE Transactions on Information and Systems E103-D (12),pp.2649-2658 (Sole-authored) 2020/12/01
Papers	Sampling Shape Contours Using Optimization over a Geometric Graph IEICE Transactions on Information and Systems E102-D (12),pp.2547-2556 (Co-authored) 2019/12/01
Papers	Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning IEEE Transactions on Neural Networks and Learning Systems 28 (8),pp.1865-1877 (Sole-authored) 2017/08/01
Papers	A Spatially Correlated Mixture Model for Image Segmentation IEICE Transactions on Information and Systems E98-D (4),pp.930-937 (Co-authored) 2015/04/01
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Academic conference presentation
2021/08/18	Mixture Modeling for Shape Clustering (The 4th International Conference on Signal Processing and Machine Learning)
2021/08/25	Typical Performance of Iterative Reweighted Lasso for Compressed Sensing (The 29th European Signal Processing Conference)
2020/10/24	Property of Quantum Decoding for Sourlas Codes of Which Tuples Are Randomly Decimated (The 2020 International Symposium on Information Theory and Its Applications)
2018/12/14	Shape Clustering as a Type of Procrustes Analysis (The 25th International Conference on Neural Information Processing)
2018/11/29	A Shape Matching Method Considering Computational Feasibility (The 2018 International Conference on Signal Processing and Machine Learning)
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Lecturer and lecture
2006/12/26	Application of Large Deviation Theory in Reinforcement Learning (Nagoya University, Nagoya, Aichi)

Winning science prize
2023/03/22	Hiroshima City University Faculty Award
2021/03/22	Graduate School of Information Sciences, Hiroshima City University Faculty Award
2020/03/25	Hiroshima City University Faculty Award
2005/02/10	IEEE Kansai Section IEEE Kansai Section Student Paper Award

Subject
Advanced Pattern Recognition
Seminar of Calculus I
Basic Experiments on Information Sciences: c
Basic Experiments on Information Sciences: beta
Discrete Mathematics

Activity in society
2024/02/10 ～ 2024/02/10	Adviser in the 2024 Hiroshima prefectural science seminar for senior high school students
2023/02/12 ～ 2023/02/12	Adviser in the 2023 Hiroshima prefectural science seminar for senior high school students
2022/01/29 ～ 2022/01/29	Adviser in the 2022 Hiroshima prefectural science seminar for senior high school students
2020/10/21 ～ 2020/10/21	Class at Senior High Schools
2020/02/08 ～ 2020/02/08	Adviser in the 2020 Hiroshima prefectural science seminar for senior high school students
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Belonging society
2004	Institute of Electrical and Electronics Engineers
2001	Institute of Electronics, Information, Communication, and Engineers
2003/12/01 ～ 2010/12/30	Society of Information Theory and its Applications

Committee and society
2017/06/01	IEICE Reviewer of the IEICE Transactions
2013/07/12 ～ 2017/06/01	IEICE Associate Editor of the IEICE Transactions on Information and Systems


2022/08/01	University courses that are open to high school students null：
2021/08/02	University courses that are open to high school students null：
2017/07/26	University courses that are open to high school students null：
2016/07/26	University courses that are open to high school students null：
2015/08/07	University courses that are open to high school students null：
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