- Research: deep learning for medical imaging (glaucoma classification from 3D OCT scans, brain tumor segmentation from MRI) and quantum self-attention for Vision Transformers.
- Industry: 4+ years as an AI engineer at Everfit and Hekate, taking GenAI, vision-language, voice and medical AI from R&D to production.
- Building: LLM agents and tools that make learning accessible.
- Writing: essays on education and tech, in Vietnamese, on Substack.
Efficient Circuit Classifier Design for Enhancing Quantum Self-Attention in Vision Transformers
Huyen Quang Tran, Yu-Han Lin, Hanh Thi Minh Tran, Duy-Tuan Dao, Van-Linh Nguyen · IEEE Globecom Workshops (GC Wkshps), pp. 170–175, 2025
Paper · Code
Comparative Analysis of Deep Learning Architectures for Brain Tumor Segmentation
Huyen Quang Tran, Hieu Pham, Phuc Ho, Hanh Thi Minh Tran · International Conference on Advanced Technologies for Communications (ATC), 2025
Paper · Code
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