Automation and Control Engineer

Alessandro
Nocentini

About Me

MSc graduate in Automation and Control Engineering from Politecnico di Milano. I'm a highly motivated individual with a passion for tackling challenges and applying learned concepts in real-world applications. During my Bachelor's and Master's degrees, I developed a strong interest in Robotics and Machine Learning.

My distinct traits are self-improvement and multi-disciplinarity. I like undertaking projects to challenge my capabilities and expand my skillset, and this led me to develop a versatile and variegated range of skills (both technical and non-technical) that spans across different fields.

I am constantly ready to face new challenges, confident of my problem solving skills and detail-oriented mindset, aiming to meet and even exceed other people's expectations.

On my free time I am an active person, who loves to practice different sports, and a creative mind, with the passion for traditional and digital art forms.



Work Experience

Research fellow at Politecnico di Milano

2024 - present

Milan, Italy

  • Project description
  • The research focuses on developing health monitoring and prognostic methods for avionic systems by analyzing data packet retransmissions in challenging environments (high temperatures and/or vibrations). The project, in collaboration with Leonardo S.p.A., involves configuring the laboratory environment, designing software modules to be deployed on electronic boards, conducting experiments to stress the system, and laying the groundwork for implementing algorithms to detect abnormal conditions, predict potential faults and estimate the remaining useful life of the system.

Education

Master of science degree in Automation and Control Engineering, at Politecnico di Milano

2020 - 2024

Milan, Italy

  • Thesis:
  • A User-Friendly Tool for the Verification of Protection Systems in LV Distribution Grids

    In partnership with ABB, developed a user-friendly tool for the formal verification of protection systems in LV distribution grids. This involved creating a custom notation (Simulink library) for easy graphical grid modeling and implementing an intuitive application (MATLAB app) to control the process. Designed and implemented supplementary features to enhance the user experience, validated through summative usability testing.

  • Relevant courses:
  • Control of Industrial Robots, Data Driven Control System Design, Advanced and Multivariable Control, Software Engineering, Machine Learning, Reinforcement Learning, Computer Aided Manufacturing

Bachelor of science degree in Automation Engineering, at Politecnico di Milano

2017 - 2020

Milan, Italy

  • Relevant courses:
  • Process Control, Electrical Machines and Drives, Fundamentals of Robotics, Mechanical Systems Modeling

  • Diploma Supplement:
    • Matlab/Simulink for Control Systems Analysis and Design (2020)
    • Startup 101 - From Design to Action (2019)
    • Goal Mapping, Body Language and Effective Comunication (2018)

General high school degree: Scientific, at Campus Leonardo da Vinci

2012 - 2017

Umbertide, Italy

Skills

MATLAB95%
Python80%
Java70%
HTML85%
SQL60%
CAD Modeling100%
Machine Learning75%
MuJoCo60%
Arduino70%
Linux50%
Simulink95%
C++80%
JavaScript70%
CSS85%
C#60%
3D Printing100%
Reinforcement Learning80%
XML70%
UI/UX Design85%

Languages

Italian
English
French

Projects

  • All
  • Academic
  • Personal

Automation and Control
Laboratory

Design, simulation and testing
of control techniques on a
Quanser Torsion System

Software Engineering
Project

Application development using
the MIT App Inventor environment

Reinforcement Learning
with MuJoCo

Design of a PPO Agent for
multi-directional walking
control

Additive Manufacturing
Workshop

Design and prototyping of a
boat model with 3D printers

3D Printer
Assembling

Building and improvement of
the Prusa i3 Hephestos
3D printer

Quadruped Robot
Development

Assembling of a 4-legged robot
and implementation of a
Machine learning algo for walking

Certificates

Reinforcement Learning Onramp

by MathWorks - matlabacademy

Neural Networks and Deep Learning

by DeepLearning.AI - coursera

Understanding and Visualizing Data with Python

by University of Michigan - coursera

Computer Vision Onramp

by MathWorks - matlabacademy

Image Processing Onramp

by MathWorks - matlabacademy

Introduction to Generative AI

by Google Cloud Skills Boost

Introduction to Large Language Models

by Google Cloud Skills Boost

Introduction to Responsible AI

by Google Cloud Skills Boost

Introduction to Structured Query Language (SQL)

by University of Michigan - coursera

Python Data Structures

by Univerity of Michigan, coursera

Introduction to C# Programming and Unity

by University of Colorado - coursera