Vu Dinh-trung

Doctoral Student at National Taiwan University of Science and Technology

Taipei, Taiwan
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Summary

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Senior
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Top School
Vu Dinh-trung is a PhD candidate in Computer Science and Information Engineering at National Taiwan University of Science and Technology with 15 years of experience bridging academic research and applied development in biometric recognition, computer vision, and deep learning. He develops mobile palm-vein recognition systems using deep learning and is proficient in C/C++, OpenCV, Python, Keras, and mobile app development, bringing practical engineering skills to research problems. His work includes a Q1 journal paper in IEEE Transactions on Industrial Informatics and conference publications in computational vision venues, reflecting a strong publication record. Prior to his doctoral studies he taught and conducted research at Vietnam Maritime University, combining classroom instruction with hands-on image processing projects. Based in Taipei, he leverages international education and industry-facing research to translate novel biometric algorithms into deployable mobile solutions.
code15 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Excellent, Master of Science - MS, Computer Science, Excellent at National Taiwan Ocean University
bookComputer Science, Excellent, Computer Science, Excellent at National Taiwan University of Science and Technology
bookBachelor of Engineering - BE, Information Technology, Very good, Bachelor of Engineering - BE, Information Technology, Very good at Vietnam Maritime University
languagesVietnamese, English, Chinese

Programming languages (1)

Python

Github contributions (5)

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trungvdhp/mpsnet

Mar 2021 - Nov 2021

Mobile Palm Vein Recognition using Saturation channel and Deep Learning-MPSNet
Contributions:21 commits, 1 PR, 41 pushes in 7 months
trungvdhp/Chatbot-VN

Dec 2017 - Apr 2018

Contributions:13 pushes, 1 branch in 4 months
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Vu Dinh-trung - Doctoral Student at National Taiwan University of Science and Technology