Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38^th cycle (2022-2025)

Ph.D. obtained in 2026

Dissertation:

AI-Based Novelty Detection for Industrial and Robotic Applications (Abstract)

Tutors:

Marcello Chiaberge Riccardo Lacagnina

Research presentation:

Poster

Profile

Research topic

Semi-supervised Novelty Detection for industrial and robotics applications

Keywords

Analog, Power and Mixed-Signal Circuits and Embedded Systems

Mechatronics and robotics

Modeling, simulation and CAD

Systems, Automation and Control

Big Data, Machine Learning, Neural Networks and Data Science

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. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronic systems for mechatronics. A.A. 2023/24, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronic systems for mechatronics. A.A. 2024/25, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Electronic systems for mechatronics. A.A. 2025/26, MECHATRONIC ENGINEERING. Collaboratore del corso
Electronics Fundamentals and Applications. A.A. 2023/24, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Challenge@PoliTo by Firms - Leva. A.A. 2025/26, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso

MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in Porto@Iris

Albertin, Umberto (2026)
AI-Based Novelty Detection for Industrial and Robotic Applications. relatore: CHIABERGE, MARCELLO; LACAGNINA, RICCARDO; , 38. XXXVIII Ciclo, P.: 156
Doctoral Thesis
Cena, Carlo; Albertin, Umberto; Bucci, Silvia; Martini, Mauro; Balossino, Alessandro; ... (2026)
Self-supervised Real NVP for on-board satellite fault detection. In: ACTA ASTRONAUTICA, vol. 239, pp. 49-60. ISSN 0094-5765
Contributo su Rivista
Audrito, Giorgio; Martini, Mauro; Albertin, Umberto; Chiaberge, Marcello (2025)
UWB Multi-robot Localization with Gaussian Belief Propagation on Factor Graph. In: 2025 European Conference on Mobile Robots (ECMR), Padova (Ita), September 2 – 5, 2025, pp. 1-6. ISBN: 979-8-3315-2705-1
Contributo in Atti di Convegno (Proceeding)
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. ISBN: 979-8-3315-1042-8
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; 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)
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; 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

More publicationsLess publications

Umberto Albertin

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)