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Curriculum Vitae

Yuji OYAMADA, Ph.D.

Assistant Professor Department of Electrical Engineering and Computer Science
Faculty of Engineering, Tottori University, Japan


Research Interests


Education


Professional Experience


Research Ethics Training


Selected Publications

  1. Risa Nakano, Yuji Oyamada, Ryo Ozuru, Satoshi Miyahara, Michinobu Yoshimura, and Kenji Hiromatsu, Emulating visual evaluations in the microscopic agglutination test with deep learning, Journal of Microbiological Methods, Vol. 237, pp. 107249, Oct., 2025.
  2. Risa Nakano, Yuji Oyamada, Ryo Ozuru, Michinobu Yoshimura, and Kenji Hiromatsu, Objectification of evaluation criteria in microscopic agglutination test using deep learning, Journal of Microbiological Methods (Short Communications), Vol. 222, pp. 106955, Jul., 2024.
  3. Risa Nakano, Yuji Oyamada, and Ryo Ozuru, Objectification of Evaluation Criteria in MAT Using Deep Learning, 13th Conference of ILS and 4th Meeting of ELS, Sep., 2024.
  4. Madoka Chosokabe, Shohei Koie, and Yuji Oyamada, Examining the Effect of ChatGPT on Small Group Ideation Discussions, Human-Centric Decision and Negotiation Support for Societal Transitions (GDN), pp. 142-153, May, 2024.
  5. Naoki Kajitani, Yuji Oyamada, Mikihiko Mori, Haruhiko Maenami, Idea Grouping Support System, International Conference on Software Technology and Engineering (ICSTE), Oct., 2023.
  6. Yuji Oyamada, Ryo Ozuru, Toshiyuki Masuzawa, Satoshi Miyahara, Yasuhiko Nikaido, Fumiko Obata, Mitsumasa Saito, Sharon Yvette Angelina M. Villanueva, and Jun Fujii, A machine learning model of microscopic agglutination test for diagnosis of leptospirosis, PLOS ONE, Vol. 16, No. 11, pp. 1-16, Nov., 2021.
  7. Yuya Miyoshi, Yuji Oyamada, Aya Shiraiwa, Kazu Mishiba, and Katsuya Kondo, An Augmented Reality Supports for Self-learners Learning Activity Involving Motion: A Case Study on an Alphabet Writing System, Asia-Pacific Workshop on Mixed-Reality (APMAR), Jul., 2017.
  8. Yuji Oyamada, Haruka Asai, and Hideo Saito, Blind Deconvolution for A Curved Motion Based on Cepstral Analysis, IPSJ Transactions on Computer Vision and Applications (CVA), Vol. 3, pp. 32-43, Jun., 2011.
  9. Yuji Oyamada and Hideo Saito, Focal Pre-Correction of Projected Image for Deblurring Screen Image, IEEE International Workshop on Projector-Camera Systems (PROCAMS), pp. 1-8, Jun., 2007.

Grants & Funding

  1. Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science (JSPS)
  2. Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science (JSPS)
  3. Grant-in-Aid for Scientific Research (若手B), Japan Society for the Promotion of Science (JSPS)
  4. Grant-in-Aid for Scientific Research (C), Japan Society for the Promotion of Science (JSPS)
  5. Grant-in-Aid for Scientific Research (若手B), Japan Society for the Promotion of Science (JSPS)