CV

Basics

Name Tran Phuong Nam
Label Scientist
Email tpnam0901@gmail.com
Phone (+84) 946-653-380
Url https://tpnam0901.github.io/
Summary An artificial intelligence researcher with a strong background in mathematics and computer science. I am interested in Medical image segmentation (Primary research), Federated Learning (Primary research), Image segmentation, Multi-Modal and their applications in Biometrics and Audio & Speech Processing, and Computer Vision.

Work

  • 2024.08 - Present
    Full-time Researcher
    Networking Intelligence Laboratory, Dept. of Computer Science and Engineering, Kyung Hee University, Yongin-si, 17104, Republic of Korea
    • Computer Vision
    • Natural Language Processing
    • Medical image segmentation
    • Federated Learning
  • 2023.10 - Present
    Full-time Researcher
    AiTA Lab, Dept. of Computing Fundamental, FPT University, Ho Chi Minh City, Vietnam.
    • Computer Vision
    • Natural Language Processing
  • 2021.12 - 2023.06
    AI Researcher
    Pythera AI, Ho Chi Minh City, Vietnam
    • Computer Vision
    • Natural Language Processing
  • 2021.08 - 2023.10
    AI Engineer
    K&G Technology, Ho Chi Minh City, Vietnam
    • Computer Vision

Education

  • 2021.09 - 2023.12
    Bachelor
    FPT University, Ho Chi Minh City, Vietnam
    Artificial Intelligence
    • Machine Learning
    • Deep Learning
    • Computer Vision
    • Natural Language Processing

Awards

  • 2023.10.13
    Best Paper Award
    International Conference on ICT Convergence
    RBBA: ResNet-BERT-Bahdanau Attention for Image Caption Generator Received Best Paper Award at the 14th International Conference on ICT Convergence - ICTC 2023
  • 2023.11.12
    Valedictorian of information technology
    Valedictorian of information technology
    https://vnexpress.net/thu-khoa-dau-ra-dh-fpt-nhan-hoc-bong-100-tu-han-quoc-4773178.html?fbclid=IwY2xjawFHjzhleHRuA2FlbQIxMAABHYSkviCw-024Zof92fwLqzRaruJaLMEstvYKiCHxMHwTZORpr47p4aQJbw_aem_DAOH1LAAC3XrY01vbv3T0g

Languages

Vietnamese
Native speaker
English
Fluent