【Activity Report】9th Next-Generation AI Salon: “BOOST Student Research Exchange & Lecture by Prof. Bernard De Baets”
- Activity Report : AI Salon
- 2025.10.27
On Friday, October 24, 2025, the 9th Next-Generation AI Salon “BOOST Student Research Exchange” was held in Room 16 of Lecture Building 1 at Tokyo University of Agriculture and Technology’s Fuchu Campus.
The AI Salon is conducted as part of the “Frontier Research for Creating Future Society: Next-Generation AI Doctoral Talent Development Program (FL-BOOST)” initiative. It regularly invites AI researchers from Japan and abroad to hold seminars and research exchange meetings. Participants engage with the cutting edge of AI, mathematical, and data science across diverse fields including agriculture and engineering. The salon provides a forum for exchanging ideas across disciplines while learning advanced theories and methodologies. (Details: https://www.tuat-flourish.jp/program/fellow/)
The 9th AI Salon featured Part 1 with 15 students delivering lightning talks in English. Part 2 welcomed Professor Bernard De Baets from the Faculty of Bioscience Engineering at Ghent University, Belgium, who gave a lecture titled “Computation and Mathematics in Motion: Tools, Solutions, Frontiers.”
■Event Overview
Date/Time: Friday, October 24, 2025, 15:00–20:00
Venue:Room 16, Lecture Building 1, Fuchu Campus, Tokyo University of Agriculture and Technology
Participants: 43 attendees (36 students, 7 faculty/staff) *includes Online attendance
■Event Details
Following opening remarks, Part 1 featured English-language lightning talks by 15 Senior BOOST Fellows and BOOST/Associate BOOST students. Each presentation consisted of a 3-minute talk and 2-minute Q&A, requiring not only research introduction but also the ability to concisely convey key points within a short timeframe. Research fields spanned a wide range, primarily in agriculture and engineering. The diversity in slide design and presentation styles served as a reminder of the importance of research dissemination and scientific communication.
In Part 2, Professor De Baets introduced diverse interdisciplinary research that balances both the theory and application of mathematics and computational science. He particularly emphasized the importance of the “Data-to-Decision Cycle (Data → Model → Decision)” in research, providing detailed explanations with concrete application examples, which drew significant interest from participants. The Q&A session also featured discussions on themes like overcoming knowledge gaps between different fields to advance collaborative research, offering valuable insights for participants considering their future careers and international collaborations.
Following the lecture, a networking session was held in a different venue, where Professor De Baets engaged in free-flowing discussions with students and faculty. Candid opinions were exchanged regarding research themes in the conceptual stage and potential future collaborative projects, paving the way for deeper research exchanges and new collaborative opportunities.
