CV

Basics

Name Dat NGUYEN
Label Ph.D. student
Email dat.nguyen@uni.lu
Url https://datdaigia.github.io/
Summary A petite Dad, a long-time Learner.

Work

Education

  • 2022 - Present

    Luxembourg

    Doctoral
    University of Luxembourg
    Computer Science
  • 2018 - 2021

    Hanoi, VietNam

    Master
    VietNam National University - VNU
    Computer Science
  • 2012 - 2017

    Hanoi, VietNam

    Bachelor
    Military Technical Academy
    Software Engineering

Awards

Publications

Projects

  • 2022 - 2022
    Violence Detection
    Designing a model that receives a video as input and predicts probability of sign of violence action.
    • Action Recognition
    • Pose Estimation
  • 2021 - 2021
    Traffic Sign/Light Detection
    One of the most challenging project I have worked on. The detection model is required to be robust to objects with different conditions like weather, daytime, lighttime, extreme light, etc. It is also optimal in computation for deployment in AGX Driver or ARM64. The number of traffic signs and lights are around 300 classes.
    • Object Detection
    • ONNX
    • Fine-grained Classification
    • TensorRT, AGX Driver, ARM64
  • 2020 - 2020
    Liquor Recommendation
    This project I directly worked with our customer in Japan. My task is to develop a Recommendation Algorithm that recommend similar liquors based on the given taste coefficients. My algorithm finally show superior performance over the very well-known sake recommendation website (https://sakenowa.com/). I also published 2 prestigious papers with the project.
    • Content-based Recommendation
    • Distribution Issues
    • Liquor Recommendation
  • 2019 - 2019
    Face Recognition
    We developed a Face Recognition system that only require CPUs for training on a small-size training dataset, but can compete with SOTA in term of accuracy and speed. Moreover, the system has online learning ability. We published 2 papers with the system.
    • Face Recognition
    • Elasticsearch
  • 2018 - 2019
    Insight Data Science
    In this project, I focus on the front-end site, working in ReactJS to display the content returned from the back-end APIs.
    • Front-End
    • ReactJS
  • 2018 - 2019
    JAMJA
    For this project, I am in the back-end site in which I wrote the APIs to return for the front-end. My mostly focused task is to use Elasticsearch to build a multi-level search bar with diverse creteria such as locations, closest distance, most-viewed, brands...
    • Back-end
    • Python
    • Elasticsearch
  • 2017 - 2018
    Collatotte
    The first project I joined as a Web Developer after my bachelor graduation. I am in charge of building the admin site in which the administrator of the website can manage the selling products with easy-to-use, reliable, UI.
    • Ruby On Rails
    • Web Developement

Certificates

Image Processing
Adrian Rosebrock 2019
Agile Fundamental
Agile 2019
Machine Learning
Coursera - Andrew Ng 2019
Deep Learning for Computer Vision
Adrian Rosebrock 2019

Skills

Programming Languages
Python, Ruby
Javascript, e.g. Jquery, ReactJS
Html, Css
Deployment
NginX
Tools
Pytorch, Tensorflow, Keras
Github, DVC
Docker
Elasticsearch
Frameworks
Rails, Django

Languages

Vietnamese
Native speaker
English
Fluent

Interests

Computer Vision
Deepfake Detection
Autonomous Driving
Human-oriented Components, e.g. Pose Estimation, Action Recognition, Face Recognition
Recommendation Systems
Content-based Algorithms
Distribution-related Problems

References

Professor Djmila AOUADA
https://cvi2.uni.lu/profile-djamila-aouada/
Professor Enjie GHORBEL
https://cvi2.uni.lu/profile-enjie-ghorbel/
Professor Thanh Ha LE
https://uet.vnu.edu.vn/~ltha/CV.pdf
Professor Minh Thanh TA
https://scholar.google.com.au/citations?user=_dREcUEAAAAJ&hl=en
Dr Dzung NGUYEN
http://users.eecs.northwestern.edu/~dtn419/