On 10 October, the Faculty of Mathematics and Computer Science, VNUHCM-University of Science (HCMUS), hosted a seminar introducing postgraduate scholarship programmes and featuring an academic lecture by Prof. Shang-Yuan Shiu from the Department of Mathematics, National Central University (NCU), Taiwan. The event formed part of the NCU delegation’s visit and working programme at HCMUS.

The seminar attracted lecturers, researchers, and students from the Faculty of Mathematics and Computer Science. In his remarks, Prof. Shang-Yuan Shiu introduced postgraduate training and scholarship opportunities at NCU, emphasising the university’s strong international orientation in Mathematics, Data Science, and Artificial Intelligence (AI). The full and partial scholarships funded by the Ministry of Education of Taiwan aim to attract outstanding researchers from Southeast Asia, particularly from Viet Nam, offering students access to an advanced, multicultural, and globally connected academic environment.

Following the introduction, Prof. Shiu delivered an academic lecture entitled “Mathematical Formulation of Diffusion Models in Generative AI.” The presentation provided an analytical overview of the mathematical foundations of diffusion models, clarifying the forward–reverse mechanisms in data generation and highlighting the role of probability and stochastic analysis in developing next-generation deep learning algorithms.

An engaging discussion followed between Prof. Shiu and participants, opening new interdisciplinary perspectives connecting pure mathematics, data modelling, and AI technologies. The exchange provided lecturers, researchers, and postgraduate students of HCMUS with an opportunity to explore modern research trends and discuss potential areas of collaboration with an international expert.

 

An interactive discussion followed between Prof. Shang-Yuan Shiu and participants.

The seminar not only strengthened research and training cooperation between HCMUS and National Central University but also reaffirmed HCMUS’s commitment to global scientific integration. It reflected the University’s ongoing effort to expand its international academic network and build a high-quality, forward-looking, and sustainable postgraduate research environment.

PMN