Davide Piccinini

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39o ciclo (2023-2026)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Profilo

Dottorato di ricerca

Argomento di ricerca

My work focuses on remote sensing applications and deployment of deep learning techniques.

Tutori

Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science

Biografia

I obtained my diploma in classical studies in 2017 having attended Liceo
Classico Vittorio Alfieri.
I graduated in Mathematics from the University of Turin in June 2020 after
completing a Bachelor’s Degree Program and then I obtained a Master’s Degree in Mathematics from the University of Turin in
June 2023 (110/110 com laude and honors). My career plan was
focused on Differential Geometry and Analysis, with particular regard to Dif-
ferential Equations and Non-Linear Analysis.
My thesis work was a dissertation on rotating spirals in segregated reaction-
diffusion systems. This research
topic highly revolved on differential equations and variational methods.
In October 2023 I started a Re-
search Fellowship in Deep Learning at Politecnico di Torino with Prof. Enrico
Magli.
The topics of the fellowship concerned building a
robust and efficient Edge-AI for remote Image Analysis, i.e. onboard a satellite.
In March 2024 I started a P.h.D. scholarship with Prof. Enrico Magli.
My research focuses on developing deep learning techniques and models for computer vision, with a particular emphasis on remote sensing applications.

Pubblicazioni

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