Trinh Thanh Trung

Lecturer, Department Of Computer Science

Ph.D. (Shibaura Institute of Technology, Japan, 2021)
M.Sc. (University of South Wales, United Kingdom, 2011)
B.Eng. (Le Quy Don Technical University, 2009)

Email: trungtt@soict.hust.edu.vn
Website: http://trungtt.com

• Computer graphics and game development
• Metaverse and virtual reality (VR, AR, XR)
• Game AI and intelligent agents
• UI/UX design

• Computer Graphics
• Metaverse and Virtual Reality
• Game Development
• Game AI
• Intelligent Agents (rule-based, reinforcement learning, imitation learning)
• Human Behaviour Modelling

Trinh Thanh Trung (PhD) is a lecturer at School of Information and Communication Technology, Hanoi University of Science and Technology. He received his Ph.D. degree in Functional Control Systems from Shibaura Institute Engineering, Japan in 2021 and M.Sc. degree in Intelligent Computer Games Development from University of South Wales, United Kingdom (formerly University of Glamorgan) in 2011. He has years of experiences in developments of computer games and simulation systems. His research interests include the interaction problems and modelling of human behaviour in virtual worlds and metaverse; and intelligent computer games agents modelling using rule-based and machine learning approaches.

• Trinh, T. T., & Kimura, M. (2022). Cognitive prediction of obstacle’s movement for reinforcement learning pedestrian interacting model. Journal of Intelligent Systems, 31(1), 127-147.
• Trinh, T. T., & Kimura, M. (2021). The impact of obstacle’s risk in pedestrian agent’s local path-planning. Applied Sciences, 11(12), 5442.
• Trinh, T. T., Vu, D. M., & Kimura, M. (2020, March). A pedestrian path-planning model in accordance with obstacle’s danger with reinforcement learning. In Proceedings of the 2020 The 3rd International Conference on Information Science and System(pp. 115-120).
• Trinh, T. T., Vu, D. M., & Kimura, M. (2020, June). Point-of-conflict prediction for pedestrian path-planning. In Proceedings of the 12th International Conference on Computer Modeling and Simulation(pp. 88-92).
• Vu, D. M., Trinh, T. T., & Kimura, M. (2020). A New Context-Based Sentence Embedding and the Semantic Similarity of Sentences. International Journal of Knowledge Engineering, 6(1).

• Best Presentation Award at ICCMS 2020, Australia
• Best Presentation Award at ICISS 2020, UK

• IT4470: Computer Graphics and Virtual Reality
• IT3100: Object Oriented Programming
• IT3040: Programming Techniques
• IT4080: Introduction to Software Engineering