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Curriculum Vitae of Nguyen Hong Phuc — BSc ECE student at VinUniversity.

Basics

Name Nguyen Hong Phuc
Label BSc ECE Student & AI Researcher
Email 23phuc.nh@vinuni.edu.vn
Phone +84 326 060 805
Url https://phucngvinuni.github.io/
Summary Electrical and Computer Engineering student at VinUniversity specializing in AI, machine learning, and signal processing. Research at ICCL Lab (VinUni & Trinity College Dublin) on semantic communication, aquaculture AI, and embedded systems. $3,500 Student Research Grant recipient.

Work

  • 2026.07 - Present
    Research Intern
    HKU AIoT Lab, The University of Hong Kong
    Selected as 1 of 40 students for a fully funded summer internship. Supervised by Prof. Chenshu Wu.
    • Working on thermal sensing research.
    • Selected from a competitive international applicant pool.
  • 2025.05 - 2025.09
    Project Intern (Top 20 Finalist — IoT Challenge)
    FPT Software
    • Deployed quantized LLMs on Raspberry Pi to create a conversational conservation chatbot.
    • Engineered a full-stack solution (Frontend/Backend) for real-time shopper tracking and route optimization via BLE localization.
  • 2024.09 - 2025.05
    Research Consultant
    WorldQuant
    • Developed predictive mathematical models (Alphas) to forecast financial instrument price movements.
    • Utilized statistical analysis and historical data to optimize trading signals.
  • 2023.10 - Present
    Undergraduate Research Assistant
    Intelligence, Computing and Communication Lab (ICCL), VinUniversity & Trinity College Dublin
    Supervised by Assist. Prof. Nguyen Van Dinh.
    • Investigated Open RAN architecture, 5G networks, and Task-Oriented Semantic Communication.
    • Developed multi-modality AI models for smart aquaculture (computer vision, fish tracking, underwater size estimation, image segmentation).
    • Exploring Diffusion Models for enhanced data generation and signal processing applications.

Education

  • 2023.10 - 2027.06

    Ha Noi, Vietnam

    Bachelor of Science
    VinUniversity
    Electrical and Computer Engineering
    • Rank 1 in ECE Cohort 4
    • 2× President's List (AY 23–25)
    • Dean's List (All Semesters)
    • 100% Talent Scholarship (2023–2027)
  • 2020.08 - 2023.05

    Bac Ninh, Vietnam

    High School
    Bac Ninh High School for the Gifted
    Physics Major

Awards

Certificates

Introduction to Microelectronics
VinUniversity
Open RAN 101
VinUniversity
Wireless Communications
Yonsei University (Coursera)
Neural Networks and Deep Learning
DeepLearning.AI
Digital Signal Processing
EPFL (Coursera)

Publications

Skills

Programming Languages
Python
C/C++
Verilog
MATLAB
LaTeX
Frameworks & AI
PyTorch
TensorFlow
Scikit-learn
OpenCV
PennyLane
Qiskit
Tools & Platforms
Docker
Git
Vivado
Altium
PSpice
Arduino
Raspberry Pi
Linux
Teensy

Languages

Vietnamese
Native speaker
English
Working proficiency

Interests

Research Areas
Semantic Communication
Multi-Task Learning
WiFi Sensing
Quantum Computing
Smart Aquaculture
Computer Vision
Energy Harvesting
Embedded AI

Projects

  • 2024.01 - Present
    Smart Aquaculture IoT System
    Multi-sensory IoT node with Multimodal AI, LLM RAG, and semantic communication. Funded by $3,500 Student Research Grant.
    • Multimodal AI
    • LLM/RAG
    • Hydrophone
    • Semantic Communication
  • 2026.01 - 2026.01
    Deep JSCC for Visible Light Communication
    Hardware-in-the-loop Deep JSCC via analog light (R-2R DAC). 98% MNIST compression with differentiable channel approximation.
    • PyTorch
    • Analog Circuit
    • Signal Processing
  • 2026.01 - 2026.01
    Teensy 4.1 Flight Controller Firmware
    Custom C++ firmware with 400Hz PID loop, Madgwick sensor fusion (MPU6050), and RC signal filtering for Quad-X drone.
    • C++
    • Embedded Systems
    • PID Control
  • 2025.01 - 2025.06
    WinCart
    AI-powered smart shopping assistant with ML-based positioning on Silicon Labs hardware.
    • Edge AI
    • Raspberry Pi
    • Silicon Labs
  • 2024.01 - 2024.06
    Neural Network From Scratch
    CNN in C++ and feedforward NN in C for MNIST classification without external ML libraries.
    • C++
    • Deep Learning
    • MNIST