Integration of machine learning and mathematical modeling, and deepening of its theory Ⅱ
| Reference No. | 2024a005 |
|---|---|
| Type/Category | Grant for General Research-Workshop（Ⅱ） |
| Title of Research Project | Integration of machine learning and mathematical modeling, and deepening of its theory Ⅱ |
| Principal Investigator | Takiko Sasaki（Department of Mathematical Engineering, Faculty of Engineering Musashino University/Mathematical Institute, Tohoku University・Lecturer） |
| Research Period |
October 12,2024. -
October 14,2024. |
| Keyword(s) of Research Fields | Machine Learning, Mathematical Models, Industrial Applications, Causal Discovery AI, Explainable AI, LiDAR, Automated Driving Assistance, Traffic Flow Simulation |
| Abstract for Research Report |
(Purpose) The proposed research symposium is positioned as a continuation of the research symposium II "Integration of machine learning and mathematical modeling, and deepening of its theory" held in September 2023. Following this symposium, we focus on the fusion of machine learning and mathematical models, discussing both theoretical and practical aspects, with the aim of identifying new issues and building a cross-disciplinary research collaboration system. From mid-June to early August 2023, the g-RIPS-Sendai program was held at the Institute for Materials Research at Tohoku University, with participation from five undergraduate and graduate students from Musashino University, where three organizing committee members belong. During the program, participants from Japan and the United States worked in groups to intensively tackle problems and learn the path to their solutions. This research symposium will invite the researchers from companies who provided research topics to the groups that Musashino University students participated in at g-RIPS, along with students and researchers specializing in mathematical engineering, including graduate students who participated in g-RIPS. They will discuss potential complementarities and explore new possibilities for constructing mathematical models to solve societal problems. (Expected outcomes) By bringing together lecturers from three invited companies and researchers and graduate students from various fields of mathematical engineering, such as topology and numerical analysis, for discussion, it is expected that the potential for application and implementation of machine learning technology in various fields will be identified, and that new machine learning methods and joint research with companies will begin. Moreover, presentations by students who participated in g-RIPS are featured, providing a forum for active discussions between corporate and academic researchers and graduate students. This is expected to enhance the autonomy of students in their research, build a research network among researchers and students, and lead to more fulfilling research activities. |
| Organizing Committee Members (Workshop) Participants (Short-term Joint Usage) |
Takashi Tsuboi（Tohoku University, Tohoku Forum for Creativity・Professor） Tetsuji Tokihiro（Department of Mathematical Engineering, Faculty of Engineering Musashino University・Professor） Osamu Saeki（Institute of Mathematics for Industry, Kyushu University・Professor） Hiroyuki Ochiai（Institute of Mathematics for Industry, Kyushu University・Professor） |