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  • Trường Đại Học Bách Khoa - ĐHQG-Tp.HCM
  • Truong Chinh, Phuong 14, quan Tan Binh, Tp.HCM
  • 19:05 (UTC +07:00)

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phandienxauxa/README.md

Hi there 👋

I'm an Embedded & IoT Engineer from Ho Chi Minh City University of Technology - Vietnam National University (HCMUT - VNU), dedicated to building seamless and optimized systems.

🛠️ I love working with

C C++ Python Docker KiCad

🔭 I'm working on

  • Industrial Machinery Maintenance Monitoring System (IIoT Maintenance System)

    • Hardware: Designed a data acquisition system using ESP32-WROOM-32U with MPU6050 (3-axis vibration), AHT30 (temperature & humidity), and INA219 sensors.
    • Analysis: Integrated FFT algorithm to distinguish vibration sources and send alerts via Google SMTP.
    • Dashboard: Built on DevExpress WinForms platform, aligned with IIoT workflow requirements.
  • Factory Employee Tracking System with Edge AI & YOLOv8

    • Computer Vision: Implemented YOLOv8 and ByteTrack for zone-based personnel identity assignment, dynamically tracking work time, away states, and returns without relying on facial recognition.
    • Optimization: Exported and deployed neural networks using the OpenVINO toolkit to maximize real-time inference speed and FPS on local Intel CPU architecture.
    • Software Pipeline: Developed an interactive OpenCV application for custom multi-zone drawing, automated CSV event logging for DevExpress dashboard integration, and built a custom fine-tuning pipeline using Roboflow and Google Colab.
  • Air Quality Prediction System with Edge AI

    • Model: Trained a Neural Network (2 hidden layers, ReLU activation) for nonlinear regression on PM2.5 and toxic gas data.
    • Deployment: Deployed model on CK-RA6M5 (RENESAS) kit; data forwarded to ESP32 via UART3 and pushed to a dashboard through WebSocket.
    • Debugging: Used J-Link driver on e2 Studio with breakpoints and Expressions monitoring.
  • Handheld Game Console — BKonsole

    • Hardware: Designed PCB in KiCad, integrating LCD 1602, 8x8 LED Matrix driven by MAX7219, and 4 physical buttons on ATmega324P.
    • Firmware: Programmed in Embedded C with interrupt handling to implement Snake and Pickleball game logic.

🌱 I'm learning

  • 🐋 Containerization: Using Docker to orchestrate IoT services (MQTT, Node-RED) on Ubuntu Linux Gateways.
  • 🐧 System Optimization: Deep diving into Linux Kernel and resource management for Embedded Linux.
  • 🖥️ Desktop Apps: Utilizing DevExpress to build professional monitoring and management UIs.
  • Advanced PCB: Mastering multi-layer PCB design and EMI/EMC protection in KiCad.

🤝 I'm looking for help with

  • Model compression techniques (Quantization, Pruning) for low-power hardware.
  • Industrial IoT security standards (TLS/SSL, Secure Boot) for embedded devices.

📫 How to reach me

LinkedIn Facebook Instagram Discord

⚡ Fun fact

I'm an introvert who enjoys cooking and staying active through sports like badminton, swimming, and gym workouts. ^^

Pinned Loading

  1. Air-Quality-Monitoring-System-Edge-AI- Air-Quality-Monitoring-System-Edge-AI- Public

    An Edge AI-powered Indoor Air Quality (IAQ) monitoring and prediction system using the Renesas CK-RA6M5 kit. Features real-time ML forecasting, FreeRTOS, and a FastAPI WebSocket dashboard.

    C 3 1

  2. Mini-Hydroponic-System Mini-Hydroponic-System Public

    An IoT-based Mini Hydroponic system for smart agriculture. Integrates embedded sensors to monitor and automate environmental conditions and nutrient delivery.

  3. Machine-Maintenance-Monitoring-System- Machine-Maintenance-Monitoring-System- Public

    An IoT-based Machine Maintenance Monitoring System for Smart Factories. Utilizes ESP32, vibration, and temperature sensors for real-time condition monitoring and anomaly detection.

    C++ 1

  4. BKonsole BKonsole Public

    A DIY handheld game console project utilizing an LCD 1602 and LED Matrix to challenge peripheral interfacing skills.

    Makefile