Research theme for competitive and other funds (4)：
2020 - 2025 Seeing through the sea floor: Development of a basis for evaluation of spatio-temporal environmental dynamics in seafloor surface sediments using acoustic technology
2021 - 2024 Development of a qualitative assessment tool for children's handwriting ability
2020 - 2023 深層学習に基づくクロマグロ卵質予測システムの構築
2010 - 2015 Studies on representation-based computational structures of spaces and figures, and on related structures like fractals
Papers (76)：
Ka Yin Chin, Shoichi Ishida, Yukio Sasaki, Kei Terayama. Predicting condensate formation of protein and RNA under various environmental conditions. BMC Bioinformatics. 2024. 25. 1
Yugo Shimizu, Masateru Ohta, Shoichi Ishida, Kei Terayama, Masanori Osawa, Teruki Honma, Kazuyoshi Ikeda. AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data. Journal of Cheminformatics. 2023. 15. 1
Shulei Wang, Katsunori Mizuno, Shigeru Tabeta, Kei Terayama, Shingo Sakamoto, Yusuke Sugimoto, Kenichi Sugimoto, Hironobu Fukami, Lea A. Jimenez. An efficient segmentation method based on semi-supervised learning for seafloor monitoring in Pujada Bay, Philippines. Ecological Informatics. 2023. 78. 102371-102371
Akira Takahashi, Kei Terayama, Yu Kumagai, Ryo Tamura, Fumiyasu Oba. Fully autonomous materials screening methodology combining first-principles calculations, machine learning and high-performance computing system. Science and Technology of Advanced Materials: Methods. 2023. 3. 1
Kei Terayama, Yamato Osaki, Takehiro Fujita, Ryo Tamura, Masanobu Naito, Koji Tsuda, Toru Matsui, Masato Sumita. Koopmans’ Theorem-Compliant Long-Range Corrected (KTLC) Density Functional Mediated by Black-Box Optimization and Data-Driven Prediction for Organic Molecules. Journal of Chemical Theory and Computation. 2023. 19. 19. 6770-6781
