Mattia Stighezza

About

Mattia Stighezza (Member, IEEE), received the B.Sc. and M.Sc. degrees in electronic engineering in 2017 and 2020 respectively, and the PhD degree in Information Technologies in 2024 from the University of Parma, Parma, Italy. His current research interests include the design of embedded systems in the field of electrochemical analysis and lithium-ion batteries.

Work

University of Parma
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Technologist METROFOOD-IT project

Italy

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Education

University of Parma
Italy

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PhD

University of Parma
Italy

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MD Electronic Engineering

Publications

Machine Learning-Enhanced Flexible IL-6 Sensor for Rapid Threshold Detection

Published by

IEEE Sensors Journal

Summary

journal-article

A Flexible Multichannel Platform for Versatile E-Nose and E-Tongue Operations

Published by

IEEE Transactions on Instrumentation and Measurement

Summary

journal-article

Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar

Published by

Sensors

Summary

journal-article

Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar

Published by

Sensors

Summary

journal-article

Machine learning and impedance spectroscopy for battery state of charge evaluation

Published by

2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)

Summary

conference-paper

An Improved Method Based on Support Vector Regression With Application Independent Training for State of Charge Estimation

Published by

IEEE Transactions on Instrumentation and Measurement

Summary

journal-article

A flexible machine learning based framework for state of charge evaluation

Published by

2022 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)

Summary

conference-paper

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

Published by

Energies

Summary

journal-article

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

Published by

Energies

Summary

journal-article

HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation

Published by

Lecture Notes in Electrical Engineering

Summary

book-chapter