Fujimoto Ken'ichi

フジモトケンイチ | Fujimoto Ken'ichi

Affiliation and department：
Job title： Professor

Research field (3)： Control and systems engineering , Sensitivity (kansei) informatics , Soft computing

Research keywords (9)：光マニピュレータ , 非線形力学と制御 , 医用工学 , 医用画像処理 , 数理モデル , Nonlinear dynamics and its application , Medical engineering , Medical image processing , Mathematical model

Research theme for competitive and other funds (17)：

2023 - 2027 Development of Method for Estimating Intensity Distribution of Radionuclides Using Deep Learning and Data Assimilation
2023 - 2026 Memory formation process and encoding of experience in the hippocampal CA1
2021 - 2024 メンタルケアにおけるキーワードに基づいた相談内容のタイプ分類および個別相談の支援
2020 - 2023 Development of an Educational System Focusing on Characteristics of Human Mind
2020 - 2023 Development of Radiation-Distribution Estimation-System with Higher Precision Using Deep Neural Networks and Photon Transport Simulator and Its Implementation on Edge Device

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Papers (92)：

Yuta Ishihara, Yuto Tomohara, Ken’ichi Fujimoto, Hiroshi Murai, Junko Ishikawa, Dai Mitsushima. Method for Extracting Specific Shapelets from Ripple Firing with Episodic Experience. Proceedings of 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing. 2024. 95-98
Yuta Ishihara, Ken'ichi Fujimoto, Hiroshi Murai, Junko Ishikawa, Dai Mitsushima. Classification of Hippocampal Ripples: Convolutional Neural Network Learns Episode-Specific Changes. Brain Sciences. 2024. 14. 2. 177
Takeshi Suehiro, Yuichi Tanji, Ken’ichi Fujimoto. Performance of Learning-Based Least-Squares Method for CT Image Reconstruction Under Noise. Proceedings of 2023 IEEE Workshop on Nonlinear Circuit Networks (NCN’23). 2023. 26-27
Yuta Ishihara, Yuto Tomohara, Ken’ichi Fujimoto, Hiroshi Murai, Junko Ishikawa, Dai Mitsushima. Extraction of Episode-Specific Ripple Firings Patterns Using Grad-CAM. The Papers of Technical Meeting on "Perception Information", IEE Japan. 2023. 21-22
末弘健, 丹治裕一, 藤本憲市. 画像再構成のための非線形モデル低次元化における分散共分散行列の効果について. 電子情報通信学会技術報告. 2023. 123. 203. 21-24

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MISC (105)：

Keita Tanaka, Momoka Masaoka, Keiji Shimada, Ken'ichi Fujimoto, Takahiro Kodama. A Study on Laser Frequency Control Using Kalman Filter to Avoid Excessive Bandwidth Narrowing. IEICE Tech. Rep. 2023. 122. 398. 119-124
Norifumi Suehiro, Hitoshi Kamei, Yoshihiro Nagayasu, Enju Nakagawa, Naka Gotoda, Ken’ichi Fujimoto. A Study for EBPM Based on Education and Learning Data From Hybrid Cloud of Kagawa University. 2022. 204-209
林敏浩, 八重樫理人, 藤本憲市, 後藤田中, 裏和宏, 米谷雄介, 藤澤修平. Design of Interaction for an Educational Support System Using Various Kinds of Cognitive Characteristic Information. 電子情報通信学会技術研究報告(Web). 2021. 120. 424(ET2020 51-74)
梅本拓登, 藤本憲市, 阪間稔, 井上一雅, 福士政広, 今城裕介, 福原隆宏, 遠藤倫崇. Generation of Radiation Spectrum Data Using CGAN. 電気・電子・情報関係学会四国支部連合大会講演論文集(CD-ROM). 2021. 2021
梅本拓登, 鈴木順也, 大林史乃, 藤本憲市, 阪間稔, 井上一雅, 福士政広, 今城裕介, 福原隆宏, 遠藤倫崇. Generation Method of Deep-Learning Data for Estimating Depth-Distribution of Radioactivity. 日本放射線安全管理学会学術大会講演予稿集. 2020. 19th

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Patents (5)：

Books (9)：

新・医用放射線技術実験-基礎編- 第4版
共立出版 2020 ISBN:9784320061958
Human Interface and the Management of Information. Visual Information and Knowledge Management
Springer International Publishing 2019 ISBN:9783030226602
Knowledge-Based Software Engineering: 2018
Springer International Publishing 2018 ISBN:9783319976792
Artificial Intelligence Science and Technology
World Scientific 2017 ISBN:9789813206830
新・医用放射線技術実験-基礎編- 第3版
共立出版 2016 ISBN:9784320061811

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Lectures and oral presentations (161)：

Analysis of hippocampal ripple firings using convolutional neural network: AI learns training-dependent and experience-specific changes in the diversity
(第101回日本生理学会大会 2024)
BLASを利用した正則化ML-EM法によるCT画像再構成
(令和6年電気学会全国大会 2024)
土壌内の放射線強度分布と核種の推定問題に関する基礎的検討
(令和6年電気学会全国大会 2024)
Method for Extracting Specific Shapelets from Ripple Firing with Episodic Experience
(2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing 2024)
Extraction of Episode-Specific Ripple Firings Patterns Using Grad-CAM
(The 8th International Conference on Electronics and Software Science 2023)

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Education (4)：

1997 - 2000 The University of Tokushima Faculty of Engineering Department of Information Science and Intelligent Systems
1995 - 1997 Tokyo Institute of Technology Graduate School of Information Science and Engineering Department of Computer Science
1993 - 1995 The University of Tokushima Graduate School, Division of Engineering
1988 - 1993 Anan National College of Technology

Professional career (4)：

Doctor(Engineering) (The University of Tokushima)
Master(Engineering) (Tokyo Institute of Technology)
Ph. D. (The University of Tokushima)
M. Eng. (Tokyo Institute of Technology)

Work history (11)：

2023/04 - 現在 Tokyo Metropolitan University
2022/04 - 現在 Kagawa University Faculty of Engineering and Design Professor
2020/04 - 2022/03 Tokyo Metropolitan University
2018/04 - 2022/03 Kagawa University Associate Professor
2015/04 - 2018/03 Kagawa University Assistant Professor

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Committee career (20)：

2022/10 - 現在電気学会非線形電子回路の効率化技術調査専門委員会
2021/05 - 現在電気学会四国支部役員会協議員
2019/04 - 現在電子情報通信学会四国支部学生会顧問
2023/01 - 2024/12 IEEE Shikoku Section Secretary
2023/06 - 2024/06 電気学会電気学会令和6年全国大会実行委員会委員

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Awards (9)：

2021/10 - 電気学会上級会員
2018/03 - 大学ICT推進協議会最優秀ポスター賞
2016/01 - International Association of Engineering and Technology Researchers Session Best Paper (2016 Bangkok International Conference on "Innovative Research in Engineering and Technology")
2012/11 - 徳島大学若手研究者学長賞
2012/09 - 日本医学物理学会第104回日本医学物理学会優秀研究賞

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Association Membership(s) (6)：

人工知能学会 , The Institute of Systems, Control and Information Engineers , The Institute of Electrical Engineers of Japan , The Institute of Electronics, Information and Communication Engineers , IEEE , The Society of Instrument and Control Engineers

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