Trần Quang Đức
Tel: 096*******
E-mail: adxvfx@r.postjobfree.com
Address: Đông Anh, Hà Nội, Việt Nam
Linkedin: https://www.linkedin.com/in/quang-duc-5092911bb/ ABOUT
I graduated from Hanoi University of Science and Technology with Bachelor's Degree in Control Engineering and Automation in October 2022. I have knowledge of Machine Learning, Deep Learning, Computer Vision. I have a real interest in how the AI behavior changes the real world. EDUCATION
Co Loa High School 2015 – 2018
Hanoi University of Science and Technology
- Major: Control Engineering and Automation
- Class: Talented program in Control Engineering and Automation
- GPA: 3.33
2018 – 2022
EXPERIENCE
Lab of Development, Recognition, Evaluation and Application in Measurement Science and Technology (Sep 2020 - 2022)
• Member
- Research on the topic of using physiological signal to identify emotions, detect stress levels by Machine Learning, Deep Learning algorithms.
- Publication: Driving stress detection using physiological data with machine learning, Journal of Military Science and Technology, https://doi.org/10.54939/1859-1043.j.mst.83.2022.22-29 Computer Vision projects
• Implement image segmentation task on DeepFish dataset (graduate thesis):
- Research DeepFish dataset, build image classification model, image segmentation model on this dataset to compare to baseline results.
- Technologies used: Python, Pytorch Framework, OpenCV
• Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos.
- Research on depth estimation topic, optical flow, GAN model, self-supervised learning.
- Reimplement paper and implement a new idea (use a different method to calculate image gradient) to compare with the baseline results.
- Technologies used: Python, Pytorch Framework, OpenCV VinBigData (Jul 2022 - Dec 2022)
• AI Intern (Full-time):
Joined the Vingroup's AI Training Program at VinBigData. VinBrain (Dec 2022 - May 2023)
• AI Intern (Full-time)
- Researching on medical image, metholodogies to handle medical image task.
- Implementing liver tumor classification task on CT images.
- Technologies used: Python, Pytorch Framework, OpenCV, pyradiomic. SKILLS
Programming Language - Python, MATLAB
Frameworks & Libraries - Pytorch, OpenCV, Matplotplib, Numpy, Pandas, Scikit-learn Language - English (Intermediate)