MSc Student

Pham Ngoc Bao received his bachelor’s degree in Data Science from Ho Chi Minh City University of Foreign Languages and Information Technology (HUFLIT). He is currently pursuing a master’s degree at Ho Chi Minh City University of Industry and Trade (HUIT). His main research interests include natural language processing and artificial intelligence.

Huynh Ly Tan Khoa received his bachelor’s degree in Information Technology from Ho Chi Minh City University of Foreign Languages and Information Technology (HUFLIT) in 2026. During his undergraduate studies, he developed a strong interest in applying computational methods to language-related problems. His research focuses primarily on natural language processing and artificial intelligence, with particular attention to text classification, sentiment analysis, large language models, and intelligent language-based applications. He is also interested in exploring machine learning and deep learning techniques to develop accurate, efficient, and practical solutions that can support research and address real-world challenges in language understanding and communication.

Nguyen Minh Y received the Bachelor of Information Technology degree from Ho Chi Minh City University of Foreign Languages and Information Technology (HUFLIT), Ho Chi Minh City, Vietnam. His research interests include artificial intelligence, natural language processing, knowledge graphs, knowledge graph completion, fact verification, and trustworthy machine learning. His work focuses on developing reproducible and auditable AI methods for graph-based reasoning, evidence organization, and knowledge-intensive tasks. He is particularly interested in provenance-aware fact verification, retrieval-augmented verification, and robust evaluation under sparse or noisy evidence conditions, with the goal of developing AI systems that are effective, transparent, explainable, and reproducible.

My name is Luu Van Nhat Hao, and I have a background in Information Technology with a specialization in Artificial Intelligence. I am particularly interested in multimodal learning, fake news detection, evidence-based reasoning, and trustworthy AI. Through my research projects, I have worked on developing models that analyze textual, visual, and structural information to better understand and verify online content. I have also gained experience in writing academic papers, conducting experiments, analyzing model performance, and building AI-based educational applications. In addition to research, I enjoy sharing technical knowledge and creating interactive tools that make complex concepts, such as Transformers and BERT, easier to understand. My long-term goal is to pursue advanced study in Artificial Intelligence, contribute to high-impact research, and develop reliable AI systems that can address meaningful real-world problems.

Lam Phuong holds an Engineer’s degree in Electronics and Telecommunications Engineering from Ho Chi Minh City University of Technology, Vietnam National University Ho Chi Minh City (HCMUT). He is currently a Senior Specialist in Information Technology Infrastructure and Information Systems at Vietjet Air and a master’s student in Information Technology at Ho Chi Minh City University of Foreign Languages and Information Technology (HUFLIT).

His research interests include large language models, natural language processing, computer vision, multimodal learning, and AI agents. His master’s thesis, entitled “An Enhanced Multimodal Sentiment Analysis Method Using a Combination of CLIP and DeBERTa,” investigates the integration of a vision–language model with a text-based Transformer model. The research aims to improve the effectiveness of multimodal sentiment analysis while reducing computational requirements and model-training costs.

Cao Hoang Khanh Bang is a Software Developer. He received his Bachelor’s degree in Information Technology from Ho Chi Minh City University of Industry and Trade in 2025. He is currently pursuing a Master’s degree in Information Technology (Application-Oriented Program) at Ho Chi Minh City University of Industry and Trade. His research and professional interests include software development, artificial intelligence, and emerging digital technologies.

Master’s student in Information Technology at Ho Chi Minh City University of Industry and Trade (HUIT). His research interests include Recommender Systems, Sequential Recommendation, Machine Learning, Data Mining, Artificial Intelligence, and Knowledge Graphs. His current research focuses on improving long-tail sequential recommendation by leveraging both intrinsic structural knowledge from global co-occurrence and external knowledge graphs.

Cong Hien Vi received his Engineer’s degree in Information Technology from Ho Chi Minh City University of Technology and Education (HCMUTE). He is currently a lecturer in Information Technology at Ho Chi Minh City College of Economics and Technology (HOTEC) and a Master’s student in Information Technology at Ho Chi Minh City University of Industry and Trade (HUIT). His research interests include computer vision, deep learning, and intelligent video analytics. His Master’s thesis, titled “Fall Detection from Skeleton Data Using Multi-Stream Graph Convolutional Networks”, leverages spatio-temporal graph modeling for real-time human action recognition and safety monitoring.