Dung T. Tran

Greetings! I’m currently a master’s student in Robotics at Hanyang University ERICA and a member of the Biomimetic Robotics Lab (BRL), supported by the KOICA–Hanyang NEXT Fellowship. My research interests center on Reinforcement Learning and Robotics, particularly autonomous navigation and underwater robotic systems. I also serve as AI Leader at AiThings.

My current research direction explores how robots can learn from visual and sensor observations to perceive their surroundings and make effective decisions. I am particularly interested in reinforcement learning for navigation, 3D mapping, and obstacle avoidance, with an emphasis on deploying learned policies on resource-constrained robotic platforms and bridging the gap between simulation and the real world.

Previously, I worked as a Research Assistant at the Center for Environmental Intelligence, VinUniversity, conducting research on Multi-modal Learning and Trustworthy AI under the mentorship of Assist. Prof. Nguyen Van Dinh and Assoc. Prof. Kok-Seng Wong. I also served as a Teaching Assistant at VinUniversity and gained industry experience as an AI Engineer at Viettel High Tech, optimizing AI models for resource-constrained hardware. My previous research in Computer Vision, WiFi-based sensing, and Federated Learning provides a foundation for my current work in robotic perception and learning.

I received my B.Eng. in Electronics and Telecommunications from Hanoi University of Science and Technology (HUST) in 2025, graduating with an “Excellent” classification (CPA 3.6/4.0). My background in signal processing sparked my transition into machine learning and continues to shape my approach to learning from visual and sensor data.

I welcome research collaborations and future Ph.D. opportunities in Reinforcement Learning and Robotics, particularly in robot learning, autonomous navigation, and sim-to-real transfer.