Giulio Barletta

Dottorando in Energetica , 39o ciclo (2023-2026)
Dipartimento Energia (DENERG)

Docente esterno e/o collaboratore didattico
Dipartimento Energia (DENERG)

Profilo

Dottorato di ricerca

Argomento di ricerca

Use of Artificial Intelligence Techniques for the Optimization of Innovative Solar Cells Production

Tutori

Interessi di ricerca

Innovative Energy Systems
Renewable energy
Conversion, storage and decarbonization of energy vectors

Biografia

I am a Ph.D. student in Energetics from the 39° cycle. In 2021 I received my B.Sc. cum laude in Energy Engineering from Politecnico di Torino. Throughout my B.Sc., I was part of the "Giovani Talenti" program, and I was awarded the corresponding scholarship. In 2023 I received my M.Sc in Energy and Nuclear Engineering from Politecnico di Torino, and in Mechanical Engineering from University of Illinois Chicago (USA).
As a student I mainly focused on the many aspects of energy production (both fossil and renewable), transmission, storage, use, and policies, while also developing a broader knowledge of the engineering disciplines, studying subjects related to mechanics, fluid dynamics, electronics, and artificial intelligence. Throughout my academic career I had the chance to develop many projects (both alone and in a group) and to do research work both during an internship at the Energy Center Lab of the Politencico di Torino (2021) - focusing on the characterization of the equivalent Thévenin circuits for Lithium-ion batteries - and during my stay at University of Illinois Chicago (2022-2023) - focusing on the application of machine learning techniques to model the sorption capacity of an innovative atmospheric water harvesting device.
Now, as a Ph.D. student, I am working on the optimization of innovative Perovskite-based solar cells through Artificial Intelligence techniques in collaboration with the Italian National Research Council (CNR) and the CHOSE (Polo Solare Organico della Regione Lazio).

Didattica

Insegnamenti

Corso di laurea magistrale

  • Energy storage. A.A. 2024/25, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso

Pubblicazioni

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