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Master's thesis project consisting in the development of a pipeline to segment and render tomography data of lithium-ion batteries during abuse testing.

License: MIT License

Python 69.37% Jupyter Notebook 30.63%
blender lithium-ion-batteries segmentation tomography thermal-runaway

fasttomo's Introduction

Hi there ๐Ÿ‘‹

I am an Engineering Physics MSc student at Politecnico di Milano with a strong passion for problem-solving ๐ŸŽ“. Throughout my academic career, I have developed a very good knowledge of physics and programming, particularly in Python ๐Ÿ”ญ. In recent years, I have also been interested in machine learning and data science, and participated in several projects in these fields ๐ŸŒฑ.

I previously worked with Giuseppe Urso and Lorenzo Trevisan (MSc students in Artificial Intelligence at Politecnico di Milano) to develop a convolutional neural network for plant classification and a convolutional neural network for time series classification. During the first semester of 2023, I refined my skills in machine learning by tackling financial data science problems. I am presently working on my Master's thesis at the European Synchrotron Radiation Facility (ESRF), focusing on the image processing of CT scans of Li-ion batteries.

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