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mikabba/README.md

Hi, I'm Michele Abbaticchio 👋

Junior Model-Based & Control Systems Engineer
Real-time control · HIL testing · Embedded systems · Dynamic systems · Engineering ML

LinkedIn


About me

I'm an Automation Engineering MSc student at Politecnico di Bari, focused on model-based design, real-time control systems, Hardware-in-the-Loop testing and experimental validation.

My technical work combines dynamic system modelling, embedded control, real-time testing, optimization and data-driven methods for engineering applications.

Alongside engineering projects, I also develop software applications and educational tools, including management-oriented applications and interactive tools for music learning.


Technical focus

  • Model-Based Design and dynamic system modelling
  • Real-time control and Hardware-in-the-Loop testing
  • Embedded systems with STM32 and ESP32
  • System identification, PID/LQI control and optimization
  • MATLAB/Simulink, C/C++ and Python
  • Machine learning for time series and engineering applications
  • Optimization, MILP and metaheuristic algorithms for engineering problems
  • Software applications and educational tools

Engineering portfolio

Control Systems, Embedded Systems & Robotics

  • STM32 Two-Tank Control System
    Embedded control project for a two-tank water level system using VL53L0X sensors, PWM pump actuation and PID/LQI controllers.

  • STM32 Katana Joint Control
    STM32-based joint-control project for a Neuronics Katana manipulator, including PID control, encoder handling, hardware troubleshooting and system identification.

  • ESP32 EMG Signal Acquisition
    Real-time EMG signal acquisition over Wi-Fi using ESP32, TCP communication, MyoWare sensor and LabVIEW visualization.

Machine Learning for Engineering

  • Dutch TTF Gas Price Prediction
    Machine learning project for Dutch TTF gas price forecasting using time series, news data, tweet embeddings, BERT, GRU and BiLSTM models.

System Identification

Optimization & Operations Research


Software applications & educational tools

Alongside engineering work, I also develop software applications and educational tools.

  • Software Applications Lab
    Laboratory repository for management-oriented software applications, workflow tools, scheduling utilities and application prototypes.

  • Music Education Tools
    Educational software and small games designed to support music theory, solfeggio and interactive music learning.

Complete and mature projects may later be moved to dedicated standalone repositories.

Laboratory repositories

  • Control Systems Lab
    Laboratory repository for smaller experiments, simulations and technical notes related to PID control, LQI control, state-space modelling, nonlinear systems, observers and system identification.

Tools and technologies


Current direction

I'm currently building a GitHub portfolio focused on engineering projects in control systems, embedded platforms, real-time testing, optimization and machine learning.

The goal is to document each project with clear architecture, methodology, reproducible code and technical results.

Pinned Loading

  1. dutch-ttf-price-prediction dutch-ttf-price-prediction Public

    Machine learning project for Dutch TTF gas price prediction using time series, news and tweet embeddings.

    Jupyter Notebook

  2. stm32-two-tank-control stm32-two-tank-control Public

    STM32 embedded control project for a two-tank water level system with VL53L0X sensors, PWM pump actuation, and PID/LQI controllers.

    C