
Mattia Stighezza
Member of UniPR Racing Team Formula SAE

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About me
Electronics Engineer with a PhD from the University of Parma, specializing in Lithium-Ion battery management and embedded systems validation. Skilled in circuit design, PCB layout, firmware, and prototype testing.
Education

Università degli studi di Parma
2018 - 2020Laurea Magistrale LM Ingegneria Elettronica 110L
Università degli studi di Parma
2020 - 2024Doctor of Philosophy - PhD Information Technology
Università degli studi di Parma
2014 - 2017Laurea triennale Ingegneria Informatica, Elettronica e delle Telecomunicazioni 108
Experience

UniPR Racing Team
Sept 2018 - Jan 2020Member of UniPR Racing Team Formula SAEParticipated in the design of an electric racing car for the Formula Student Electric competition, focusing on compliance with FSAE regulations. Supported prototyping, testing, and troubleshooting of electrical components.Designed and assembled vehicle wiring and electrical system.Skills: Matlab, LTSpice (circuit simulation), low-voltage wiring and testing.

REMODULE
Dec 2019 - Dec 2021Member of REMODULE Startup Team (Battery Repurposing)Analyzed State-of-Charge estimation algorithms for repurposing used automotive batteries.Conducted circuit modeling and performance validation using MATLAB/Simulink and LTSpice to determine the state of health. Recognized in Forbes' 2021 Top 100 Young Innovators list for pioneering battery repurposing strategies, which highlighted innovative contributions to energy storage.

Università degli studi di Parma
Nov 2020 - nowDesigned and validated low-power electronic circuits for food quality assessment in the METROFOOD-IT European project, ensuring reliable signal acquisition. Developed PCB prototypes with Altium Designer, which were optimized for ultra-low power consumption and noise. Implemented firmware in C for STM32 and Texas Instruments MCUs, integrating I2C, SPI, UART, and WiFi communication for real-time data acquisition and cloud communications. The designed IoT multichannel device was used for electrochemical analysis, acting as an e-tongue and e-nose in detecting food fraud. The system performance was verified by conducting hardware validation and benchmarking with laboratory equipment (oscilloscope, signal analyzer, power supply, multimeter, etc), ensuring compliance with design specifications (simulated in LTSpice). Acquired data were analyzed in MATLAB/Simulink. Published research findings in peer-reviewed journals and presented at international conferences. Show less
Tecnologo di ricerca
May 2023 - nowDottorato
Nov 2020 - Mar 2024

University of Liverpool
Nov 2022 - Feb 2023International Mobility ProgrammeInternational collaboration during the PhD. Research on in-situ battery impedance measurements through Electrochemical Impedance Spectroscopy and the effects on Machine Learning algorithms for battery State of Charge estimation.
Licenses & Certifications
- View certificate

Battery State-of-Charge (SOC) Estimation (with Honors)
CourseraNov 2020
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