Fabio Depaoli

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39^th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)

fabio.depaoli@polito.it

Profile

PhD

Research topic

AI for new generation manufacturing systems

Tutors

Research interests

Controls and system engineering

Data science, Computer vision and AI

Biography

I received the M.S. in Mechatronics Engineering at Politecnico di Torino in 2023 and I am actually a PhD student for the Electronic Design Automation group (EDA) in the Department of Control and Computer Engineering (DAUIN). My research interests include the use Scientific Machine Learning techniques for realizing reliable and computationally efficient models and Artificial Intelligence applications mainly applied in the industrial sector.

Teaching

Teachings

Bachelor of Science

Programming techniques. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Research

Research groups

EDA - Electronic Design Automation (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Hosseini, Seyed Mohammad Mehdi; Depaoli, Fabio; Ponzio, Francesco; De Giorgi, Simone; ... (In stampa)
Inspecting Defects of EB-PBF Components with Active Thermography and Deep Learning: A Feasibility Study. In: 30th International Conference on Emerging Technologies and Factory Automation, Porto (PT), 9th-12th September 2025
Contributo in Atti di Convegno (Proceeding)
Depaoli, Fabio; Hosseini, Seyed Mohammad Mehdi; Macii, Enrico; Ponzio, Francesco; Di ... (In stampa)
Fixed Point-Aware Regularization of Physics-Informed Neural Networks. In: 33th Italian Workshop on Neural Networks, Vietri sul Mare, 4th-6th June 2025
Contributo in Atti di Convegno (Proceeding)
Depaoli, Fabio; Felicioni, Stefano; Ponzio, Francesco; Aliberti, Alessandro; Macii, ... (2024)
Physics-Informed Neural Networks: a step towards data-driven optimization of additive manufacturing. In: IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Padova (Italy), 10th-13th September 2024. ISBN: 979-8-3503-6123-0
Contributo in Atti di Convegno (Proceeding)
Alamin, KHALED SIDAHMED SIDAHMED; Appello, Davide; Beghi, Alessandro; Dall’Ora, Nicola; ... (2024)
An AI-Enabled Framework for Smart Semiconductor Manufacturing. In: Design, Automation and Test in Europe Conference (DATE 2024), Valencia (Spain), 25 - 27 March 2024. ISBN: 978-3-9819263-8-5
Contributo in Atti di Convegno (Proceeding)