Program
Tentative Program Schedule
Forum "Math-for-Industry" (FMfI 2026) runs across three linked events from 13–20 December 2026: the Workshop & Industry Hackathon, the main FMfI Conference, and a Study Visit.
This is a tentative program and subject to change. The detailed sessions and speakers will be confirmed by the Scientific Committee.
Detailed Schedule
Event 1: Workshop & Industry Hackathon
13–16 December 2026
13 Dec
09:00–09:30
Registration & Welcome
09:30–10:00
Opening Ceremony
10:00–12:00
Industry Challenge Presentation
13:00–15:00
Technical Workshop: Mathematics, AI & Data Science
15:00–17:00
Team Formation & Problem Definition
14 Dec
09:00–12:00
Technical Training & Industry Problem Analysis
13:00–17:00
Team Development, Modeling & Mentoring
15 Dec
09:00–12:00
Model Development & Data Analytics
13:00–17:00
Team Presentations Preparation & Mentoring
16 Dec (Morning)
09:00–10:30
Final Team Presentations
10:30–11:30
Judging & Score Evaluation
11:30–12:00
Award Ceremony: Winning Team
16 Dec (Afternoon)
13:00–16:00
APCMfI Committee Meeting
Detailed Schedule
Event 2: FMfI 2026 Conference
17–19 December 2026
Time
Day 117 Dec
Day 218 Dec
Day 319 Dec
09:00–10:00
Opening Ceremony
Plenary Lecture
Invited Lecture
10:00–12:00
Plenary Lectures
Academic Sessions
Industry–Academia Sessions
13:00–15:00
Academic & Industry Sessions
Industry Case Studies
Panel Discussion
15:00–17:00
Networking & Discussion
Student Presentations
Poster Award and Closing Ceremony
Evening
Welcome Reception
Networking Dinner
—
The detailed sessions and speakers will be confirmed by the Scientific Committee.
Detailed Schedule
Event 3: Study Visit
20 December 2026
08:30–09:00
Registration & Departure
09:00–12:00
Visit to Selected Industry Partner
12:00–13:00
Lunch
13:00–15:00
Industrial Technology & Innovation Showcase
15:00–16:00
Discussion: Future Collaboration
16:00–17:00
Return / Closing of Study Visit
Potential Industry Sectors
—Manufacturing and industrial production
—Banking and financial institutions
—Life and non-life insurance
—Securities and investment businesses
—AI, data analytics and sustainable technology
