CV

General Information

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

Academic Interests

  • Point cloud processing
    • Weakly-supervised segmentation
    • Generative and Reconstruction
  • 3D reasoning
    • Visual reasoning using 3D point cloud and NLP

Education

  • 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
      • Web Data Analysis
      • E-Commerce Security
      • E-Commerce Strategies
      • E-Payment

Experience

  • 2022 - now
    Graduate Research Assistant
    MCSP Lab, Pukyong National University, Busan, South Korea.
    • Working on 4D point cloud panoptic segmentation. The architecture is build upon point-based methods and previous Transformer attention mechanisms.
    • 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.
  • 2021-2022
    Data Research Analyst
    Tuan Loc Commodities, Ho Chi Minh City Vietnam.
    • Exporting reports monthly in docx and pptx format automatically using python with data visualization and corresponding text description directly from SQL Server.
    • Building forecasting model and backtest strategy to forecast future price in the coffee market combined with the actual stock. Manage and update master data with predefined features, Building appropriate the backtest strategy and compare with current strategies (Momentum, Mean Reverse, Pair Trading,..)
  • 2020 - 2021
    Undergraduate Research Assistant
    GB AI Lab, Ho Chi Minh City, Vietnam.
    • Building complete solutions for smart classroom applied AI specialized in computer vision including face recognition and emotion detection.
    • Implement machine learning and deep learning model for face detection. Transfer learning by using deep learning models for emotion classification.
    • Building clustering algorithm that suggest location for school planning and visualizing results on map.
    • Proposing function that covers the operating cost and individual cost for changing school location and algorithm to suggest students change current school with appropriate capacity.

Technical Projects

  • 2022 - now
    Point cloud segmentation
    • Building point-based Transformer network for segmentation tasks using limited point annotations in large-scale indoor and outdoor point clouds.
    • Proposing Transformer architecture for panoptic segmentation in point cloud sequences.
  • 2021 - 2022
    Algorithmic trading
    • Applying machine learning model in forecasting (Prophet) and building corresponding backtesting strategies on Backtrader platform.
  • 2021 - 2022
    AI-based Smart Classroom
    • Applying current machine learning models in smart classrooms for attendance, exam verification, and teaching evaluation tasks.
    • Analysing model outputs and visualizing results into corresponding charts.
  • 2019 - 2020
    Opinion mining with Vietnamese text
    • News: Gather news, comments in the Smartphone industry in Vietnamese online newspapers and using machine learning to classify them.
    • Product reviews: Building the semi-supervised sentimental model to classify online reviews on an e-commerce market.

Honors and Awards

  • 2022
    • Google Data Analytics Certificate
  • 2021
    • IBM Data Science Certificate