Researchers

Education and Career

Academic & Professional Experience

• Apr. 2022 - Today , Kindai University Faculty of Informatics Department of Informatics 教授
• Apr. 2019 - Today , Kindai University Faculty of Science and Engineering Department of Informatics Professor
• Apr. 2012 - Mar. 2019 , Kindai University Faculty of Science and Engineering, Department of Informatics 准教授
• Apr. 2007 - Mar. 2011 , Okayama University 大学院・自然科学研究科 助教
• Apr. 1998 - Mar. 2007 , Okayama University Faculty of Engineering 助手

Research Activities

Research Areas

• Informatics, Sensitivity (kansei) informatics
• Informatics, Soft computing
• Informatics, Intelligent robotics
• Informatics, Perceptual information processing
• Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Measurement engineering
• Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Control and systems engineering
• Informatics, Mechanics and mechatronics
• Informatics, Robotics and intelligent systems

Research Interests

分布推定アルゴリズム, 協調分散型進化計算, 測地距離, 強化学習, 強化学習問題, 進化計算, 知識抽出, State Space Construction, Reinforcement Learning, グラフカーネル, Anticipatory Behavior, Autonomous Robots, Growing Neural Gas Neural Networks, グラフマイニング, クラスタリング, 状態分割法, レーザーレンジファインダ, 3次元形状測定, 鏡面物体, 風土的人工物

Published Papers

1. Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional 18 F-FDG Images and Evaluation for Clinical Use
   Misa Honda; Takahiro Yamada; Shogo Watanabe; Aya Watanabe; Takashi Nagaoka; Mitsutaka Nemoto; Katsuhiro Mikami; Kohei Hanaoka; Hayato Kaida; Hisashi Handa; Kazunari Ishii; Yuichi Kimura
   Journal of Nuclear Medicine Technology  , jnmt.125.270154-jnmt.125.270154, 13, Jan. 2026 
2. Robustness of a U-net model for different image processing types in segmentation of the mammary gland region
   Mika Yamamuro; Yoshiyuki Asai; Naomi Hashimoto; Nao Yasuda; Hiroto Kimura; Takahiro Yamada; Mitsutaka Nemoto; Yuichi Kimura; Hisashi Handa; Hisashi Yoshida; Koji Abe; Masahiro Tada; Hitoshi Habe; Takashi Nagaoka; Seiun Nin; Kazunari Ishii; Yongbum Lee
   16th International Workshop on Breast Imaging (IWBI2022)  13, Jul. 2022 
3. Utility of U-Net for the objective segmentation of the fibroglandular tissue region on clinical digital mammograms.
   Mika Yamamuro; Yoshiyuki Asai; Naomi Hashimoto; Nao Yasuda; Hiroto Kimura; Takahiro Yamada; Mitsutaka Nemoto; Yuichi Kimura; Hisashi Handa; Hisashi Yoshida; Koji Abe; Masahiro Tada; Hitoshi Habe; Takashi Nagaoka; Seiun Nin; Kazunari Ishii; Yohan Kondo
   Biomedical physics & engineering express  8  (4)  21, Jun. 2022  , Refereed

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Books etc

1. Markov Networks in Evolutionary Computation, EDA-RL: EDA with Conditional Random Fields for Solving Reinforcement Learning Problems , 半田 久志 , Springer Berlin Heidelberg , May. 2012
2. ソフトコンピューティングの基礎と応用 , 半田 久志 , 共立出版 , Apr. 2012

MISC

1. 3次元乳腺密度を指標としたU-netの乳腺領域自動抽出精度の評価 , 山室美佳; 山室美佳; 浅井義行; 橋本直美; 安田奈生; 木村浩都; 任誠雲; 石井一成; 山田誉大; 根本充貴; 木村裕一; 吉田久; 半田久志; 近藤世範 , 日本乳癌検診学会学術総会(CD-ROM) , 32nd , 2022
2. Deep learningを用いた非高濃度乳房に対する乳腺領域の自動抽出 , 山室美佳; 山室美佳; 浅井義行; 橋本直美; 安田奈生; 尾崎吉明; 任誠雲; 石井一成; 山田誉大; 根本充貴; 木村裕一; 吉田久; 半田久志; 李鎔範 , 日本乳癌検診学会学術総会(CD-ROM) , 30th , 2020
3. Deep learning segmentationでの複数の放射線技師による教師データ作成の有用性 , 山室美佳; 山室美佳; 浅井義行; 橋本直美; 安田奈生; 尾崎吉明; 任誠雲; 石井一成; 山田誉大; 根本充貴; 木村祐一; 吉田久; 半田久志; 李鎔範 , 日本乳癌検診学会学術総会(CD-ROM) , 30th , 2020

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Awards & Honors

1. 2009年度 人工知能学会 研究会優秀賞
2. 2009 ACM GECCO Best Paper Award

Research Grants & Projects

1. 日本学術振興会, 科学研究費助成事業, 機械学習を援用した進化計算による有機薄膜太陽電池に適した化合物の探索 , 近畿大学
2. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Creation of new structure of nuclear fusion coil by quantum annealing and 3D topology optimization. , Kindai University
3. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Evolutionary Search of Structured Data by Using Deep Graph Kernels , Kindai University

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