Yuichiro Iwashita
Yuichiro Iwashita is a master's student at Graduate School of Informatics, Osaka Metropolitan University. He recieved bachelor of engineering (B.Eng.) at College of Englineering, Osaka Prefecture University in March 2023. He has been researching how to augument our intelligence by using technologies such as AI. From 2022, he has also been working on research about solving problems in medical field by using AI.
Keywords: Human-Centered AI, Human-Computer Interaction (HCI), EdTech, Cognitive Science, Nudging Strategies, Intelligence Augumentation, Large Language Models, Medical x AI, Survival Analysis, etc.
Academic Affiliation
| 2023.10 | - | Present | Department of Informatics, University of Kaiserslautern-Landau (RPTU) |
| 2023.04 | - | Present | Graduate School of Informatics, Osaka Metropolitan University (OMU) |
| 2021.09 | - | Present | Intelligence Media Processing Research Group |
| 2021.04 | - | 2023.03 | College of Engineering, Osaka Prefecture University (OPU) |
Work Experiences
| 2024.02 | - | Present | Software Engineer, Affectify Inc. |
| 2023.09 | - | Present | Internship, German Research Center for Artificial Intelligence (DFKI) |
| 2023.09 | - | 2023.09 | Internship, Rakuten Group, Inc. |
| 2023.08 | - | 2023.09 | Internship, freee K.K. |
| 2023.03 | - | 2023.03 | Internship, German Research Center for Artificial Intelligence (DFKI) |
| 2021.09 | - | Present | Server Administrator, Intelligence Media Processing Research Group |
Publications
International Conference Papers
Domestic Conference Papers
- Shaonan Liu, Yuta Nonomiya, Yuichiro Iwashita, Seiichi Kimura, Miku Saito, Oka Yamasaki, Shoya Ishimaru, Soichiro Nakako, Hiroshi Okamura, Masakazu Iwamura, Koichi Kise, Ayumi Shintani. Effects of time-series data on machine learning-based survival analysis models for predicting readmission events in intensive care units. In Proceedings of the 43rd Joint Conference on Medical Informatics (the 24th conference of the Japan Association for Medical Informatics), JAMI, 2023. (in Japanese) (Link)
- Yuta Nonomiya, Kenta Yanagi, Kaori Kuriu, Tokio Uchida, Yuichiro Iwashita, Fuminori Fujiwara, Kanta Yamaoka, Shoya Ishimaru, Soichiro Nakako, Hiroshi Okamura, Masakazu Iwamura, Koichi Kise, Ayumi Shintani. Recurrent neural network-based dynamic prediction model for short-term mortality in intensive care units: retrospective cohort study using the MIMIC-IV database. In Proceedings of the 43rd Joint Conference on Medical Informatics (the 24th conference of the Japan Association for Medical Informatics), JAMI, 2023. (in Japanese) (Link)
- Hina Kotoura, Kohei Yamamoto, Koki Horikawa, Ryohei Takamoto, Yuta Nonomiya, Yuichiro Iwashita, Kaori Kuriu, Shoya Ishimaru, Soichiro Nakako, Hiroshi Okamura, Masakazu Iwamura, Koichi Kise, Ayumi Shintani. Tree-based machine learning model integrating clinical table data and chest x-ray images to predict prognosis of covid-19 patients. In Proceedings of the 43rd Joint Conference on Medical Informatics (the 24th conference of the Japan Association for Medical Informatics), JAMI, 2023. (in Japanese) (Link)
- Yuichiro Iwashita, Motoi Iwata, Andrew W. Vargo, Koichi Kise. Developing an adaptive learning system for long-term English vocabulary learning. In Proceedings of the 2023 IEICE General Conference, IEICE, 2023. (in Japanese, without peer review) (BibTeX) (Link)
Miscellaneous
- David Selby*, Kai Spriestersbach*, Yuichiro Iwashita*, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Sergey Redyuk, Muhammad Nabeel Asim, Koichi Kise, Sebastian Vollmer. Quantitative Knowledge Retrieval from Large Language Models. arXiv preprint arXiv:2402.07770v1 [cs.IR], 2024. (* equal contributions) (PDF) (BibTeX) (Link)
Research Projects
| 2022.06 | - | Present | Medical x AI (in collaboration with School of Medicine, OMU and DFKI) |
| 2021.09 | - | 2024.03 | Learning Cyclotron (LeCycl) |