Papers

• Kentaro Mihara, Ryohei Yamaguchi, Miguel Mitsuishi, Yusuke Maruyama, “Neural Network Training With Homomorphic Encryption”, arXiv:2012.13552 [cs.CR], (2020)

International conferences

• R. Yamaguchi, A. Mitsuishi, T. Shimura, K. Iwamoto and A. Murata, “Prediction of Time Evolution of Vortex Structure in Pulsating Turbulent Pipe Flow by Deep Learning”, The 29th International Symposium on Transport Phenomena, Honolulu, Hawaii, USA, (2018)
• R. Yamaguchi, A. Mitsuishi, T. Shimura, K. Iwamoto and A. Murata, “Decomposition of Friction Drag and Heat Transfer in Pulsating Turbulent Pipe Flow”, The 2nd Pacific Rim Thermal Engineering Conference (PRTEC2019), Maui, HI, USA, (2019).

Domestic conferences

• H29 関東六大学合同乱流制御研究会，東大生産技術研究所，2018．
• 山口僚平，岩本薫，村田章，’‘機械学習による円管内脈動流の摩擦抵抗低減効果の予測’‘，関東学生会第57回学生員卒業研究発表講演会，電気通信大学，2018.
• R. Yamaguchi, A. Mitsuishi, T. Shimura, K. Iwamoto and A. Murata, “Prediction Model of Vortical Structure for Pulsating Control of Turbulent Pipe Flow Using Deep Learning”, 第96期日本機械学会流体工学部門講演会, 室蘭, (2018)
• 第15回六大学合同乱流制御研究会，理科大, 2018. Excellent presentation award.
• 山口僚平，光石暁彦，志村敬彬，岩本薫，村田章，”深層学習を用いた円管内脈動乱流の摩擦抵抗予測”, 第97期日本機械学会流体工学部門講演会, 豊橋, (2019)