Fabio Depaoli

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

Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)

fabio.depaoli@polito.it

Profile

PhD

Research topic

AI for new generation manufacturing systems

Tutors

Research presentation

Poster

Keywords

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. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Programming techniques. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

MostraNascondi A.A. passati

Research

Research Areas/Fields/Groups

EDA - Electronic Design Automation (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Depaoli, Fabio; Macii, Enrico; Patti, Edoardo; Ponzio, Francesco; Aliberti, Alessandro (In stampa)
Time-Domain GAN Compression of Intracranial EEG with Latent Quantization. In: 2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS), Limassol (CYP), June 03-05, 2026
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; Ponzio, Francesco; Macii, Enrico; Di Cataldo, Santa (2026)
Bridging Physics and Data in Metal Powder Bed Fusion with Scientific Machine Learning. In: JOURNAL OF INTELLIGENT MANUFACTURING. ISSN 0956-5515
Contributo su Rivista
Hosseini, Seyed Mohammad Mehdi; Depaoli, Fabio; Ponzio, Francesco; De Giorgi, Simone; ... (2025)
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. ISBN: 979-8-3315-5383-8
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)