The College of Economics, Law and Government (UEH-CELG), in collaboration with the Vietnam Institute for Advanced Study in Mathematics (VIASM), cordially invites experts and scientists to attend The 13th IASC-ARS Conference, themed “The Asian regional section of the international association for statistical computing”. The conference is one of the most significant events of 2025 in the field of statistics, bringing together world-leading scientists, experts, and researchers in statistical computing and data science.
DATE & VENUE
- Date: December 03 – 06, 2025
- Venue: University of Economics Ho Chi Minh City, Campus 279 Nguyen Tri Phuong, Dien Hong Ward, Ho Chi Minh City.
| Date | Time | Content | Venue
(UEH Campus B) |
| Dec 03, 2025 | 08:30-16:30 | Tutorial | B1.205 |
| Dec 04, 2025 | 08:00-17:30 | Conference | B1.302 and Parallel Sessions |
| Dec 05, 2025 | 09:00-17:00 | Conference | B1.302 and Parallel Sessions |
| Dec 06, 2025 | 07:00-18:00 | Field Trip | Cu Chi Tunnel |
Detailed schedule of the conference: http://go.ueh.edu.vn/iasc-ars2025-program
KEYNOTE SPEAKERS We are honored to welcome three world-renowned experts:
- Prof. Chun-houh Chen (Academia Sinica, Taiwan): President of the International Association for Statistical Computing (IASC), expert in Exploratory Data Analysis (EDA), Data Visualization, and Smart Health.
- Prof. Jianqing Fan (Princeton University, USA): Academician of Academia Sinica, a distinguished expert in Financial Econometrics, Big Data, and Statistical Machine Learning with prestigious international awards.
- Assoc. Prof. Tran Minh Ngoc (University of Sydney, Australia): Australia’s top researcher in Probability & Applied Statistics, specializing in Bayesian Computation and integrating Quantum Computing into data analysis.
The IASC-ARS 2025 Conference is a significant academic event that not only provides an opportunity for domestic and international experts, researchers, and faculty to meet and exchange academic insights, but also to collectively seek practical solutions in the digital and big data era.

