Umberto Albertin

Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38^th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)

Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)

umberto.albertin@polito.it

Profile

PhD

Research topic

Semi-supervised Novelty Detection for industrial and robotics applications

Tutors

Marcello Chiaberge
Riccardo Lacagnina

Research presentation

Poster

Research interests

Analog, Power and Mixed-Signal Circuits and Embedded Systems

Big Data, Machine Learning, Neural Networks and Data Science

Mechatronics and robotics

Modeling, simulation and CAD

Systems, Automation and Control

Biography

PhD in Automation and Mechatronics Engineering at Politecnico di Torino. He achieved Bachelor’s Degree in Mechanical Engineering in 2018 and Master’s Degree in Mechatronic Engineering in 2020. Multidisciplinary engineer with a strong passion for both hardware and software development. Experienced in designing and assembling systems from concept to prototype, using CAD, traditional machining, and additive manufacturing. Skilled in embedded systems development, from microcontroller based firmware design to intuitive human-machine interface software. Proficient in deploying AI models for real-world scenarios involving computer vision and signal processing tasks.

Teaching

Teachings

Master of Science

Electronic systems for mechatronics. A.A. 2024/25, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronic systems for mechatronics. A.A. 2023/24, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronics Fundamentals and Applications. A.A. 2023/24, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronic systems for mechatronics. A.A. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso

MostraNascondi A.A. passati

Publications

Latest publications View all publications in Porto@Iris

Greco, Gabriele; Cena, Carlo; Albertin, Umberto; Martini, Mauro; Chiaberge, Marcello (2025)
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection. In: International Joint Conference on Neural Networks (IJCNN), Roma (Ita), 30 June - 5 July 2025
Contributo in Atti di Convegno (Proceeding)
Albertin, Umberto; Priarone, Ariel; Cena, Carlo; Martini, Mauro; Chiaberge, Marcello (2024)
Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition. In: 2024 8th International Conference on System Reliability and Safety (ICSRS), Sicily (Ita), 20-22 November 2024, pp. 198-207. ISBN: 979-8-3503-5449-2
Contributo in Atti di Convegno (Proceeding)
Albertin, Umberto; Navone, Alessandro; Martini, Mauro; Chiaberge, Marcello (2024)
Semi-Supervised Novelty Detection for Precise Ultra-Wideband Error Signal Prediction. In: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari (Italia), 28 August 2024 - 01 September 2024, pp. 3719-3724. ISBN: 979-8-3503-5851-3
Contributo in Atti di Convegno (Proceeding)
Cena, Carlo; Albertin, Umberto; Martini, Mauro; Bucci, Silvia; Chiaberge, Marcello (2024)
Physics-Informed Real NVP for Satellite Power System Fault Detection. In: IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Boston (USA), 15-19 July 2024, pp. 679-684. ISBN: 979-8-3503-5537-6
Contributo in Atti di Convegno (Proceeding)
Albertin, Umberto; Pedone, Giuseppe; Brossa, Matilde; Squillero, Giovanni; Chiaberge, ... (2023)
A Real-Time Novelty Recognition Framework Based on Machine Learning for Fault Detection. In: ALGORITHMS, vol. 16, pp. 1-26. ISSN 1999-4893
Contributo su Rivista