CV

General Information

Full Name Anh-Thuan Tran
Date of Birth 24th March 1999
Languages English, Vietnamese

Academic Interests

  • 3D Gaussian Splatting
    • 3D Gaussian Splatting
    • 3DGS SLAM
    • 3D Gaussian Pruning
    • 3D Dynamic Reconstruction

Education

  • 2025 - now
    PhD Student
    Department of Computer Science, George Mason University, Fairfax, USA
    • GPA: 3.89/4.0
    • Relevant coursework
      • Computer Vision
      • Machine Learning
      • Deep Learning
      • Computer Graphics
  • 2022 - now
    Master of Engineering
    Deparment of Artificial Intelligence Convergence, Pukyong National University, Busan, South Korea
    • GPA: 4.4/4.5
    • Relevant coursework
      • Neural Network
      • Statistical Learning Model
      • Optimization for AI
      • Artificial Intelligence Programming
      • Advanced Artificial Intelligence
  • 2017 - 2021
    Bachelor of Economics
    Faculty of Information Systems, University of Economics and Law, Vietnam National University, Ho Chi Minh City, Vietnam
    • GPA: 7.8/10
    • Relevant coursework
      • Data Structure and Algorithm
      • Probability Theory
      • Information System Analysis and Design

Experience

  • 2024 - now
    Graduate Research Assistant
    Artificial Intelligence and Database Lab, George Mason University, Fairfax, USA.
    • Building uncertainty-aware 3D Gaussian Splatting for robust RGB-D SLAM.
    • Building image-agnostic 3D Gaussian pruning for 3D Transformer refinement.
    • Developing 3D Gaussian Splatting for dynamic scene reconstruction.
    • Implementing 3D Gaussian Splatting with vision-language models for scene understanding.
  • 2024 - 2024
    AI Researcher
    NewGen I&S, Busan, South Korea.
    • Building AI-based chatbot for marine industry using LLM and RAG for bilingual documents.
  • 2022 - 2024
    Graduate Research Assistant
    MCSP Lab, Pukyong National University, Busan, South Korea.
    • Proposing point-based Transformer architecture in weakly-supervised 3D point cloud segmentation. The network outperform other fully-supervised methods using only 0.1% point annotations.

Honors and Awards

  • 2024
    • Outstanding International Student Award (Pukyong National University)
  • 2022
    • Excellent achievement award in undergraduate research (UEL, VNU-HCM)