
Ph.D. candidate in Energetica , 39th cycle (2023-2026)
Department of Energy (DENERG)
Docente esterno e/o collaboratore didattico
Department of Energy (DENERG)
Profile
PhD
Research topic
Use of Artificial Intelligence Techniques for the Optimization of Innovative Solar Cells Production
Tutors
- Eliodoro Chiavazzo
- Pietro Asinari
- Aldo Di Carlo
Research interests
Biography
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).
Teaching
Teachings
Master of Science
- Energy storage. A.A. 2024/25, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Barletta, Giulio; Moitra, Shashwata; Derrible, Sybil; Mathew, Alex; Nair, Anoop ... (2025)
Exploring machine learning models to predict atmospheric water harvesting with an ion deposition membrane. In: JOURNAL OF WATER PROCESS ENGINEERING, vol. 72. ISSN 2214-7144
Contributo su Rivista - Barletta, Giulio; Trezza, Giovanni; Chiavazzo, Eliodoro (2024)
Learning Effective Good Variables from Physical Data. In: MACHINE LEARNING AND KNOWLEDGE EXTRACTION, vol. 6, pp. 1597-1618. ISSN 2504-4990
Contributo su Rivista - Barletta, Giulio; DI PRIMA, Piera; Papurello, Davide (2022)
Thévenin's Battery Model Parameter Estimation Based on Simulink. In: ENERGIES, vol. 15. ISSN 1996-1073
Contributo su Rivista