Second-year master’s student,
Department of Systems Innovation,
School of Engineering
Email : b2022rkobayashi@socsim.org
Education
04/2023-present The University of Tokyo, Tokyo, Japan
Master of Engineering,
Department of Systems Innovation, School of Engineering
04/2021-03/2023 The University of Tokyo, Tokyo, Japan
Bachelor of Engineering,
Department of Systems Innovation, Faculty of Engineering
Advisor: Kiyoshi Izumi
Thesis: “Economic Ripple Effect Analysis by Causal-Chain Presentation System Considering Output Diversity”
04/2019-03/2021 The University of Tokyo, Tokyo, Japan
Undergraduate, Natural Sciences I, College of Arts and Sciences
Publications
International Conferences (Refereed)
1. R. Kobayashi, Y. Murayama and K. Izumi, “Impact Analysis of Social Events on Industries through Narrative Causal Search,” 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, Oct 2023.
2. R. Kobayashi, Y. Murayama and K. Izumi, “Economic Causal Chain Presentation System Considering Output Diversity to Search Economic Ripple Effects,” The 4th Workshop on Knowledge Discovery from Unstructured Data in Financial Services (KDF 2023) in the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, Jul 2023.
3. H. Sakaji, R. Kobayashi, K. Izumi, H. Mitsugi and W. Kuramoto, “Summarization of Investment Reports Using Pre-trained Model,” The 13th International Conference on Smart Computing and Artificial Intelligence (SCAI 2023) in the 14th IIAI International Congress on Advanced Applied Informatics (IIAI AAI 2023), Koriyama, Japan, Jul 2023.
Skills
l Programming - Python, Java
l Qualification - Applied Information Technology Engineer Examination, Information-technology Promotion Agency, Japan (06/2021)
l Others - Infrastructure(Linux, AWS, Ansible, etc...), Deep Learning, Machine Learning