Summary
Trung Nguyen is a PhD candidate and visiting researcher based in Nagoya with eight years of experience applying DS&AI to real-world problems across academia and industry. He works on multimodal human activity recognition at RIKEN and 3D point-cloud tree segmentation at the University of Freiburg, bridging signal processing, pattern recognition, and deep learning for environmental and robotic applications. Trung has collaborated with major Japanese corporations on practical data scientist training and built production-focused models for construction-drawing segmentation and medical pill detection. His background in AIoT, federated learning, and edge computing complements a strong applied research thrust, making him adept at moving prototypes toward deployable systems. An early detail that stands out: he blends academic rigor with hands-on dataset creation and annotation work, not just model development.
8 years of coding experience
2 years of employment as a software developer
Engineer's degree, Computer Science, Engineer's degree, Computer Science at Hanoi University of Science and Technology
Doctor of Philosophy, Data Science and Artificial Intelligence, Doctor of Philosophy, Data Science and Artificial Intelligence at Nagoya University
Japanese, English, Vietnamese