Deep Learning Computer Vision

TRONG-ANH NGUYEN

Ñ District *, HCM City +84-764-***-***

# *********.*****@*****.*** # ***.************@*****.***.**

§ GitHub Profile: anhtr-nguyn ï Linkedin Profile: Trong-Anh Nguyen EDUCATION

• Ho Chi Minh University of Technology - Vietnam National University HCM 2021 - Current (Expected 2025) Bachelor in Computer Engineering

CPGA: 3.9/4.0

Interest: Computer Vision, Embedded AI System, Machine Learning, Robot

•Deep-Learning.AI Coursera

Knowledge: Deep Neural Networks, CNN, Sequence Models, Transformer EXPERIENCE

•Research student - University of Technology - VNUHCM 07/2023 - Current Research Project: Monocular Depth Estimation for nighttime images

– Advisor: PhD. Duc Dung Nguyen

– Tool & Technology: PyTorch, Computer Vision, Deep Learning

– Conduct experiments and evaluations of different deep neural network models on various datasets in different weather conditions (KITTI, Virtual KITTI, Oxford, NuScence, ...).

– Develop several methods to improve depth estimation model in night-time conditions by leveraging deep learning, classic computer vision algorithm, 3D vision (NeRF, New view synthesis...). SKILLS

Languages Programming: Python, C/C++, JavaScript, R, Unix Shell Frameworks: PyTorch (proficient), ROS, TensorFlow, TensorRT, Eigen (C++) OS: Windows, Linux (Ubuntu)

Tools: VSCode, Jupyter Notebook, Terminal, Google Colab, Git, Docker Knowledge & Course: Machine Learning & Deep Learning, Calculus, Linear Algebra, Discrete Math, Probability & Statistic, Electrical Circuit, FPGA, Data Structure and Algorithm, Computer Architecture Soft skills: English, management skill, teamwork

PROJECTS

•AI Hackathon - Face Analysis Challenge 01/2024 - 02/2024 Hackathon project - Team size: 3

– Tool & Technology: Python, Computer Vision, Image Processing, Deep Learning

– In charge of implementation and development of end-to-end method for face detection and analysis based on object detection and classification models.

– Analyzed and researched about the state-of-the-art methods and papers, implemented to make the improvement in final results, avoid biasing the solving imbalance data such as skintone, race .

– Conduct quantization and optimization method to accelerate the model on Embedded System (Jetson Xavier)

– Finally achieved second prize against 50+ national teams.

– Source code HERE

•Quantization of object detection model on Embedded System 10/2023 - 12/2023 Logic Design Project - Team size: 1

– Tool & Technology: YoloV5, YoloV8, TensorRT, Pytorch, Docker.

– Hardware and related SDK: Jetpack SDK, Deepstream SDK, Nvidia Jetson Xavier NX.

– Increase FPS of various YOLO models on many datasets (traffic light datasets, COCO) about 25% − 75% on Jetson Xavier NX Embedded System.

– Decrease significantly the inference time of models with small trade off of accuracy and precision metrics ( 2 − 4%).

•Bosch Future Mobility 2023 - Self-driving car 04/2023 Position: Supporting - Team size: 5

– Tool & Technology: Raspberry Pi 4, Robot Operating System (ROS), YoloV5, C++, Python

– Using YoloV5 for recognizing traffic signs and deploying it on raspberry Pi 4 system.

– Implementing the classic algorithm for lane detection: Image Processing, Sliding Window

– Contributing to design a ROS System for autonomous driving car.

– Video DEMO HERE

ACHIEVEMENTS

•Second prize - AI Challenge: Facial Analysis [HERE] Organized by Pixta Vietnam, Co-Host AI and Viblo. 2/2024

•Third prize - VLSP2023: Legal Textual Entailment Recognition [HERE] Organized by VLSP - Vietnamese Language and Speech Processing 12/2023

•First prize -CodeRace 2023 [HERE]

Organized by Bosch Global Software Technologies Vietnam 07/2023

•Outstanding Academic Performance Scholarship

Awarded to students who achieved highest GPA of faculty All semester

•Student with 5 Good Merits - University and Faculty Level, Prominent Student of Faculty Academic Year 2021- 2022 05/2022

ACTIVITIES

•Bosch Global Software Technology - Talent Student Exchange Program 01/2024 Position: Talent Student

– Immerse deeply in the cutting edge technology of Bosch Limited Company

– Achieve 2nd robotic challenge of Bosch Global Software Technology India: MazeBot Competition

•Big Data Club - organized by HPC Lab 01/2022 - 12/2023 Position: Research student

– Research and learn about tools and knowledge related to Big Data and AI

– Main topic: Distributed Machine Learning, Swam Learning and Federated Machine Learning LANGUAGES

English

IELTS Academic 11/2023 - 11/2025

Overall 7.5 Reading: 9.0 Listening: 7.5 Writing: 7.0 Speaking: 6.0 PREFERENCES

•PhD. Dung Nguyen Duc

Head of the Computer Science department

Ho Chi Minh University of Technology

******@*****.***.**

•PhD. Hoang-Anh Pham

Vice Dean of Computer Science and Engineering faculty Ho Chi Minh University of Technology

*******@*****.***.**

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