Machine learning

CURRICULUM VITAE

NGUYEN THANH SANG

Email: ***********.******@*****.*** Phone: +84-965-***-***

Github: https://github.com/thanhsang298 Location: Ho Chi Minh city, Viet Nam RESEARCH INTERESTS

Machine Learning, Deep Learning, Image Processing, Computer Vision, Data Science and Embedded System

EDUCATION BACKGROUND

2016-present Ho Chi Minh University of Technology (HCMUT) Bachelor of Engineering in Electrical and Electronics Engineering GPA: 7.18/10.0

Graduation time: Nov, 2020

AWARDS AND HONORS

Scholarship from Faculty of Electrical & Electronics Engineering – 2019, for students having active participation in extracurricular activities ACADEMIC PROJECTS

Viet Nam Sign Language Recognition using Deep Learning (Mar 2020 - Sep 2020) method

Bachelor thesis (Defense grade: 9.5/10)

https://github.com/thanhsang298/Viet-Nam-Sign-Language-Recognition-using-Hand- MediaPipe-framework-and-LSTM-model

Role: leader of a team with two members

Description: We built an application to recognize Viet Nam Sign Language. It focuses on hand gesture instead of body pose or face gesture

Result: We used Google team’s MediaPipe framework to extract hand landmark into txt file and built a LSTM model to recognize. We also built a GUI with Tkinter Python library to communicate with users. Thesis can be recognized one sign and a sequence with two or three continuous signs

Vehicles detection and tracking using YOLO and SORT (Sep 2019 - Dec 2019) Thesis proposal (Defense grade: 9.5/10)

Role: leader of a team with two members

Description: My team had researched objects detection and tracking using Pytorch framework. We used YOLOv3 algorithm for vehicles detection in Viet Nam traffic and SORT algorithm to track them

Result: This system can detect multiple vehicles in images and track those vehicles across videos frames

Parking spots detector using OpenCV and Tensorflow (Sep 2019 - Dec 2019) A mini project of Computer vison subject

Role: leader of a team with five members

Description: My team bulit a model to detect empty parking spots with mounted camera

Result: There are two main steps in building this parking spots detection model. Firstly, it can detect the position of all available parking spots using image processing technical (Canny method, Hough line transform...). After that, it will indentify if a parking spot is vacant or occupied. This is conducted by Open CV library and CNN model

DC Servo motor controller for computer communication using PID algorithm Completed when I was a 3th student

Control the remote device by RF waves

Completed when I was a 2rd student

ACTIVITIES

Head of Communication Department of Faculty of Electrical & Electronics Engineering, Ho Chi Minh University of Technology

The First Prize of Student Community Football Championship, Ho Chi Minh University of Technology, 2019

Active member of “Spring Volunteer” campaign 2017, 2018, 2019 Active member of “Green Summer Volunteer” campaign 2017, 2018, 2019 Active member of Ho Da Trail 14km 2016, organized by SRC, JVN Institute, Youth Union Management team

SKILLS

Technical

Language: Python, Matlab, and Embedded C

Framework: basic TensorFlow, Keras and Pytorch

Computer: Adobe Software (Photoshop, Lightroom…) and basic MS Office Working

Research skills: inventive problem solving

Leadership skills: team working, training skills, interpersonal skills

Contact this candidate