Winter school VAST-CNRS 2026

For more details, please here

About the school

The school brings together leading researchers in mathematics, modeling and computer science from Vietnam and France, under the collaboration between VAST and CNRS.

It gives senior researchers, young researchers, PhD candidates and master’s students from both countries a place to deepen their knowledge, present current work, build professional networks and shape joint projects for the years ahead.
Four days are structured by research area: sessions on the principles of mathematics and modeling first, then advanced topics in computing, with flash communications and poster sessions at the end of each of the first two full days. An optional two-day tour of Ha Long Bay follows the closing session.

Organizing Committee
Chairs
Prof. Đinh Thị Mai Thanh chair
USTH
Prof. Daniel Hagimont co-chair
IRIT UMR 5505, INP Toulouse
Assoc. Prof. Trần Giang Sơn co-chair
USTH
Assoc. Prof. Phan Thị Hà Dương co-chair
VIASM, IOM, IRL FVMA
Members
Prof. Đoàn Thái Sơn
IOM
Assoc. Prof. Nguyễn Trường Thắng
IOIT
Prof. Marc Peigné
Institut Denis Poisson UMR 7013, IRL FVMA
Prof. Lilian Aveneau
XLIM UMR 7252, University of Poitiers
Dr. Trần Hoàng Tùng
USTH
Dr. Nguyễn Minh Hương secretary
USTH
Supporting team
Nguyễn Thị Hiền
VAST
Đinh Thành Trung
VAST
Đinh Đàm Khánh
USTH
Phạm Thị Thùy Ngân
USTH

Topics
The program is built around seven themes. The list is not exhaustive — related work is welcome in the flash communication and poster sessions.

Interdisciplinary research and challenges
Where mathematics, modeling and computing meet, and what breaks at the seams.

Mathematical foundations of data science
Belief functions, quantum and combinatorial optimization, spin models on networks, numerical analysis.

Complex system modeling
Automata networks, random walks, scheduling, real-time simulation with hybrid modeling, agent-based simulation.

Distributed infrastructure and edge computing
Virtual machine introspection, data transfer in operating and distributed systems, networks and security.

Machine learning and deep learning

Learning for data assimilation, generative AI, frugal AI, graph neural networks, reinforcement and few-shot learning.

Applications of math and interdisciplinary data science
DNA storage and bioinformatics, high-stakes computer vision, big data for decision-making.

Flash communications and posters
PhD students and young researchers present ongoing work in 180 seconds, then discuss at the poster boards.

Key facts

Dates
November 16–19, 2026
Arrival
Sunday, November 15
Place
Tam Dao, Phu Tho, Vietnam