Dinh Xuan Truong, Master of Science PFIEV(*Programme de Formation d'Ingénieurs d'Excellence au Vietnam), Hanoi University of Science and Technology.
I am a Research Fellow at the University of Kent, UK, and a former Lecturer at the Faculty of Information Technology, Posts and Telecommunications Institute of Technology (PTIT), Hanoi, Vietnam. With 5+ years of experience in AI, Machine Learning, and Graph Neural Networks (GNN), I am an active member of the Machine Learning & Applications Laboratory (MLA Lab) at PTIT, where I contributed to pioneering research and curriculum development in Data Science.
Currently, I focus on data optimization in graph-based models for transportation networks at Kent, leveraging advanced techniques like GNN and Probabilistic Graphical Models to enhance computational efficiency and scalability in real-world traffic systems. My expertise includes Python, PyTorch, TensorFlow, and AWS, backed by publications at EURO 2025, IEEE UEMCON 2024, and ICMLSC 2020, as well as practical leadership roles ( AI Social Data Team, Top 8 AI SOCHA HCMC).
I am transitioning my research into industry, targeting Senior Software Engineer and Data Scientist roles in the UK tech sector.
Contact Information:
Email: truongdinh4w@gmail.com
LinkedIn: Truong Dinh LinkedIn
Research Interests: Computational Optimization, Deep Learning, Graph Neural Networks, Probabilistic Graphical Models, Social Data Analysis
(*) PFIEV: Le Programme de Formation d'Ingénieurs d'Excellence au Vietnam (PFIEV) was designed at the initiative of France in 1997.