Symposium 1 : Fusion and Plasma
| Organizer | Seiki Saito (Yamagata Univ.) |
| Co-organizer | Masayuki Yokoyama(NIFS), Hideaki Miura(NIFS), Hiroaki Nakamura(NIFS), Kazuo Hoshino (Inst. Keio Univ.), Satoshi Togo (Inst. Univ. of Tsukuba) |
| Objective | This symposium focuses on simulation technologies related to nuclear fusion and plasma applications, while also welcoming contributions from numerical methods, diagnostic techniques, and experimental research. As fusion energy development advances, it becomes increasingly important to integrate computational modeling with measurement and experimental validation. Topics include, but are not limited to, simulations of plasma behavior, plasma-material interactions, fusion reactor design, numerical algorithm development, and data-driven approaches using machine learning. Through interdisciplinary discussions among researchers in simulation, experiments, and diagnostics, this symposium aims to promote comprehensive understanding and innovation in fusion and plasma science. This symposium is held with financial support by the NINS program of Promoting Research by Networking among Institutions (01422301) and with the generous sponsorship of Transports in Plasma Multi-phase Matter Unit and Complex Global Simulation Unit in National Institute for Fusion Science. |
Symposium 2 : Interdisciplinary Simulation and Machine Learning
| Organizer | Chako Takahashi (Sapporo City University) |
| Co-organizer | Takahiro Kenmotsu(Doshisha Univ.), Susumu Fujiwara(Kyoto Inst. Technol.), Seiki Saito (Yamagata Univ.) |
| Objective | This interdisciplinary symposium aims to unite experts and researchers across diverse scientific domains, emphasizing the integration of simulations for physics, and the application or utilization of machine learning for transformative advancements in science and technology. Encompassing materials, high-energy physics, bioscience, and other diverse phenomena, along with digital twin and AI technology, the approach aims to explore the synergies emerging at the intersection of these fields. The symposium serves as a dynamic platform for interdisciplinary collaboration, allowing experts from diverse scientific backgrounds to collectively advance our understanding of various phenomena in the world and unravel mysteries through the use of simulations and machine learning. |
Symposium 3 : Visualization and XR for Complex Data Analysis: Approaches for Viewing, Exploration, and Presentation
| Organizer | Hiroaki Ohtani (National Institute for Fusion Science) |
| Co-organizer | Yuichi Tamura (Konan University),Nobuaki Ohno (University of Hyogo) |
| Objective | This symposium focuses on the latest advances in Visualization and Extended Reality (XR) technologies that enable the understanding, exploration, and communication of complex data obtained from various sources such as simulation, experiment, and observation. We place special emphasis on three emerging perspectives of purpose-driven visualization: ・Visualization for Viewing : Techniques for presenting data through multimodal sensory channels such as vision, hearing, and touch, aiming for intuitive and high-efficiency perception. Examples include high-resolution computer graphics, sonification, and haptic feedback. ・Visualization for Exploration : Methods that enable users to interactively and immersively engage with complex data, supported by machine learning and XR environments. This approach contributes to data-driven science and knowledge discovery (KDD). ・Visualization for Presentation : Techniques for clearly and effectively communicating findings to others. Applications include scientific storytelling, science communication, and decision-making support in education and policy. By incorporating concepts such as human-centered design, multimodal interfaces, and integration of AI and visualization, this symposium aims to explore the fundamental question: “To whom, what, and how should we visualize?” Keywords: Complex Data Visualization XR（Extended Reality） Machine Learning Data-Driven Science Human-Centered Design Multimodal Interface Knowledge Discovery Storytelling / Communication Immersive / Interactive |