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.