Nổi bậtUFM Leads National Conference on Data‑Science and Quantitative‑Modeling Advances for Economics and Finance
Ho Chi Minh City, Viet Nam — 28 April 2025 — The Faculty of Data Science at the University of Finance and Marketing (UFM), in partnership with the School of Technology of the National Economics University, Saigon University, and the University of Economics & Law (Vietnam National University, HCM City), successfully hosted the 2025 National Scientific Conference on “Data Science and Quantitative Models in Economics and Finance.”
The event drew a packed audience of researchers, industry specialists and policymakers, offering a dynamic forum to share the latest research trends and practical applications.
Distinguished guests
- Dr. Nguyễn Quang Huy, Rector, School of Technology – National Economics University
- Dr. Nguyễn Đăng Thuấn, Head of Research Management, Saigon University
- Assoc. Prof. Dr. Phạm Hoàng Uyên, Dean of Mathematical Economics, University of Economics & Law
From UFM:
- Assoc. Prof. Dr. Phạm Quốc Việt, Vice‑Rector
- Dr. Trương Thành Công, Dean, Faculty of Data Science
- Dr. Nguyễn Thanh Hải, Head of Admissions, Communications & Enterprise Relations
- Leaders from the Office of Science Management & International Cooperation
Opening the conference, Assoc. Prof. Dr. Phạm Quốc Việt underscored that “data science and quantitative models are driving powerful breakthroughs in economic‑financial analysis—but demand deep, responsible research and deployment.”
Research focus
Three thematic tracks structured the program:
1. Applied Econometrics in Finance
2. Data Science & Big‑Data Analytics
3. Mathematical Methods for Economic‑Financial Modeling
The scientific committee received 45 papers; following rigorous peer review, 32 high‑quality studies were published in the official proceedings.
Highlights & award‑winning studies
Live discussions deepened insights and spotlighted business‑ready applications—including credit‑scoring, portfolio optimization and risk measurement.
Notable presentations:
“Attribute Classification via Interval Value Weight‑Vector and Its Use in Automatic Credit‑Card Approval Data,” Dr. Võ Thị Bích Khuê (UFM)
“A Survey of Graph Data Analytics: Applications in Quantitative Finance,” Assoc. Prof. Dr. Phạm Hoàng Uyên (UEL – VNU‑HCM)
“Rubber Futures Price Prediction Using Minimal Gate Unit and Transfer Learning,” Dr. Trần Thị Ngọc Quỳnh (Saigon University)
The Best Paper Awards honored outstanding contributions and encouraged networking among emerging data‑science scholars.
A springboard for applied science
Concluding the event, organizers hailed the conference as a fresh milestone in UFM’s national research network—reinforcing the university’s commitment to cultivating high‑quality talent in data science and AI for Viet Nam’s sustainable, “digital‑and‑green” future.