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General Information

Full Name Trung Hieu Le
Languages Vietnamese,English, French
Skills Image and Video compression, C/C++ embedded, RTOS

Honors and Awards

  • 2023
    Best paper award for "INR-MDSQC-Implicit Neural Representation Multiple Description Scalar Quantization for robust image Coding"
    IEEE MMSP 2023
  • 2023
    Best paper award for "Multiple description video coding for real-time applications using HEVC"
    CORESA 2023 - Université de Lille

Education

  • 2021-2023
    PhD in Image and Video Compression
    Laboratoire I3S, Université Côte d'Azur, 06410, Biot
    • The primary contributor to the development of a new image compression method based on neural networks using Pytorch for DNA data storage.
    • The primary developer of a multiple-description coding solution based on the HEVC standard, implemented in C++.
    • Benchmark the developed solution using the ns-3 network simulator under a wireless channel model.
    • Result:The first neural compression method that currently stands as the state of the art for DNA data storage in terms of rate-distortion performance. Resilience to the noise by 3dB compared to classic image compression.
  • 2015-2020
    Diploma in Electrical Engineering (Equivalent to a Master's Degree)
    Polytech Nice Sophia,06410,Biot
    • Signal and Image Processing
    • Electronic Circuit
    • Embedded System Design
    • Real-Time System
    • Embedded C/C++
    Graduation grade: 15.08/20
  • 2012-2025
    French general Baccalauréat
    Jean de la Fontaine High School, 75016, Paris

Experience

  • 2021
    Embedded Software Engineer
    FDI MATELEC S.A.,Les Landes-Genusson, Pays de la Loire, France
    • Implement transmission of the images jpeg via UDP.
    • Investigate the current state of the art in VoLTE technology.
    • Examine the communication between LTE modems and microprocessors.
    • Explore the performance of JPEG encoding using both hardware and software solutions.
    • Understand the software architecture of products within the enterprise.
    • Manage resource utilization in embedded systems.
    Result: increase the number of images transmitted per second from 3 to 15.
  • 2019
    Summer Intern-Recognition of the origin of fruits / vegetables
    Da Nang University, Da Nang, Viet Nam
    • Investigate Texas Instruments' NIR spectrometer technology.
    • Learn about principles of machine learning and supervised learning.
    • Explore feature extraction techniques for signals from spectrometers.
    • Develop a dataset of fruits and vegetables specific to the regions.
    • Experiment with various machine learning algorithms.
    Result: A preliminary machine learning prototype with 80% accuracy in detection.
  • 2018
    Research Assistant-LORA GPS Tracking
    Da Nang University, Da Nang, Viet Nam
    • Implement GPS communication using UART.
    • Study LoRa wireless communication technology.
    • Develop a prototype incorporating both technologies.