On the morning of June 24, 2025, a scientific seminar with the topic "Applied Mathematics and Artificial Intelligence" organized by the AARG research group took place at Ton Duc Thang University, attracting the attention of lecturers, researchers and students.
Two scientific talks were presented at the seminar:
š¹ Dr. Phan Duy Nhat
Working organization: University of Dayton Research Institute, Ohio, USA
Topic: Federated Learning and Applications
Summary: The speaker introduced the Federated Learning model - a distributed machine learning method that helps protect data privacy. The paper clarified the challenges in training models on distributed data, and introduced new algorithms such as FedADMM-MM and FedMC-ADMM. Experimental applications on large datasets such as MNIST, Netflix and ImageNet show the effectiveness of the proposed algorithms in optimizing computational costs and reducing communication latency.
š¹ Dr. Nguyen Trang Thao
Working organization: Institute of Computational Science and Artificial Intelligence (AIMLab), Van Lang University
Topic: Some issues in forecasting time series with uncertain data
Summary: The report focuses on interval time series (ITS) and density function time series (DTS), two new approaches in modeling uncertain data. Deep learning techniques such as LSTM, Transformer, Monte Carlo combination and generative AI (Poe Assistant, DeepSeek-V3) are illustrated through applications to forecast financial indices VN-Index, VN-30 and climate change. The presented results show the potential for wide application in the fields of finance, health and environment.
Some photos at the seminar:
The seminar is a valuable opportunity to connect, exchange academic knowledge and update modern research trends, affirming the pioneering role in applying Mathematics to new technology fields such as Artificial Intelligence and Data Science.
The FMS would like to thank the speakers, teachers and students who attended and contributed to the success of the seminar.