Research

Bellman’s principle of optimality: An optimal policy has the property that whatever the initial state and initial decision are, the remaining decisions must constitute an optimal policy with regard to the state resulting from the first decision.

Research Activities

[1] Senior research student of Knowledge graph team under the supervision of Le Ngoc Thanh from class 2019, 2020, 2021.

[2] Trường Đông về Lý thuyết trò chơi và Tối ưu tổ hợp - 2023 - VIASM

[3] Trường Hè Học máy Hiện đại: Lý thuyết và Ứng dụng - 2023 - SOICT Summer School

[4] Hội nghị Toán học toàn quốc lần thứ X, năm 2023

[5] Mini-course: Ma trận ngẫu nhiên lớn (8-12/7/2024)

[6] Mini – Course: High-dimensional Statistics - 2024

Master Documents (Vietnamese & English)

Theses/ Proposal Documents

[1] Phan Anh-Hao, Le Nhut-Nam, Undergraduated thesis: Link prediction on knowledge graphs based-on Convolutional Neural Networks, Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, 07/2022. (9.75/ 10.0 - without bonus point, 10.0/10.0 with bonus point for publication. Many thanks to Phan Anh-Hao for his main contribution in our method of this thesis.)

[2] Le Nhut-Nam, Master thesis proposal: Temporal Knowledge Graph Reasoning based on Reinforcement Learning, Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, 04/2024.

[3] Le Nhut-Nam, Master Thesis: Temporal Knowledge Graph Reasoning based on Reinforcement Learning, Faculty of Information Technology, University of Science, Vietnam National University, Ho Chi Minh City, 12/2024. (9.8/10.0)

Slides presentation

[1] (Vietnamese) Temporal Parallelization of Inference in Hidden Markov Models, Avanced in Machine Learning, Master Course K31

[2] (Vietnamese) Knowledge Embedding Based Graph Convolution Network, Deep Learning, Master Course K31

[3] (Vietnamese) Optimization techniques for Transformer, Deep Learning, Master Course K31

[4] (Vietnamese) Optimization Methods and Regularization, Applied in Machine Learning, Master Course K31

[5] (English) Second-Order Optimality Conditions & Some important results in Finite Dimensions, Non-linear Programming, Master Course in Applied Mathematics K33

Master Applied Mathematics Reports

[1] (Vietnamese) Approximation Derivatives using Derivatives of Interpolation Polynominal & Finite Difference for Approximation Polynomial Derivatives, Numerical Analysis, Master Course in Applied Mathematics K33

[2] (Vietnamese) Optimization Methods and Regularization, Applied in Machine Learning, Master Course K31

[3] (Vietnamese) Eassay on Scienctific Research, Research Methodology, Master Course in Applied Mathematics K33

[4] (Vietnamese) Knapsack and its applications, Mathematical modelling in Econmics, Master Course in Applied Mathematics K33

Research Categories