Staff

Associate Professor (L. 240)
Department of Control and Computer Engineering (DAUIN)

Member of Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing

+39 0110907020 / 7020
santa.dicataldo@polito.it

Profile

Research interests

Computer vision and pattern recognition

Digital image processing

Medical image processing

Scientific branch

IINF-05/A - Information Processing Systems
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE6_8 - Computer graphics, computer vision, multi media, computer games

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Awards and Honors

Premio Donna Innovazione conferred by Regione Piemonte con la partecipazione del Ministero del Lavoro, della Salute e delle Politiche Sociali e il Fondo Sociale Europeo., Italy (2010)

Teaching

Collegi of the PhD programmes

NAZIONALE IN INTELLIGENZA ARTIFICIALE, 2022/2023 (38. ciclo)
Politecnico di TORINO
NAZIONALE IN INTELLIGENZA ARTIFICIALE, 2021/2022 (37. ciclo)
Politecnico di TORINO

Collegi of the degree programmes

Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente
Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente

Teachings

Master of Science

Machine learning in applications. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Machine learning in applications. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Machine learning in applications. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Machine learning in applications. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Machine learning in applications. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Applied AI and machine learning. A.A. 2021/22, DIGITAL SKILLS FOR SUSTAINABLE SOCIETAL TRANSITIONS. Collaboratore del corso
Bioinformatics. A.A. 2020/21, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
Bioinformatics. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Bioinformatics. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Bioinformatica. A.A. 2019/20, INGEGNERIA BIOMEDICA. Collaboratore del corso
Inference in biological systems. A.A. 2019/20, PHYSICS OF COMPLEX SYSTEMS (FISICA DEI SISTEMI COMPLESSI). Collaboratore del corso

MostraNascondi A.A. passati

Bachelor of Science

Programming techniques. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Informatica. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Titolare del corso
Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Titolare del corso
Programming techniques. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Informatica. A.A. 2023/24, INGEGNERIA GESTIONALE. Titolare del corso
Programming techniques. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Informatica. A.A. 2022/23, INGEGNERIA GESTIONALE. Titolare del corso
Programming techniques. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Programming techniques. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Titolare del corso
Programming techniques. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Titolare del corso
Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Titolare del corso

MostraNascondi A.A. passati

Research

Research groups

EDA - Electronic Design Automation (DAUIN)

Laboratories

LADISPE - Laboratorio Didattico Sperimentale "Rinaldo Sartori" (DAUIN)

Research projects

Projects funded by competitive calls

BIG - Blue Is Green , (2024-2026) - Componente gruppo di Ricerca
PNRR – Complementary Plan

Projects funded by commercial contracts

Supporto alla valutazione dei parametri influenti del processo di HPDC per la definizione del modello, (2019-2020) - Responsabile Scientifico
Commercial Research

Supervised PhD students

Can Karacomak. Programme in Intelligenza Artificiale (40^th cycle, 2024-in progress)
Fabio Depaoli. Programme in Ingegneria Informatica E Dei Sistemi (39^th cycle, 2023-in progress)
Research subject: AI for new generation manufacturing systems

Controls and system engineering

Data science, Computer vision and AI

Controls and system engineering

Data science, Computer vision and AI
Alessio Mascolini. Programme in Intelligenza Artificiale (37^th cycle, 2021-2025)
Thesis: Generative modelling for improved decision making in data-limited applications

Publications

Last years publications View all publications in Porto@Iris

Cannizzaro, Davide; Antonioni, Paolo; Ponzio, Francesco; Galati, Manuela; Patti, ... (2025)
Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing. In: JOURNAL OF INTELLIGENT MANUFACTURING, vol. 36, pp. 2105-2119. ISSN 0956-5515
Contributo su Rivista
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)
Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, ... (2024)
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge. In: DAC '24: 61st ACM/IEEE Design Automation Conference, San Francisco (USA), June 23-27, 2024. ISBN: 979-8-4007-0601-1
Contributo in Atti di Convegno (Proceeding)
Gaiardelli, Sebastiano; Dall’Ora, Nicola; Ponzio, Francesco; Fraccaroli, Enrico; Fummi, ... (2024)
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring. In: The 25th IEEE International Conference on Industrial Technology (ICIT 2024), Bristol (UK), 25-27 March, 2024. ISBN: 979-8-3503-4026-6
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)
Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa (2023)
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 214. ISSN 0957-4174
Contributo su Rivista
FONTANA CRESPO, RAFAEL NATALIO; Cannizzaro, Davide; Bottaccioli, Lorenzo; Macii, Enrico; ... (2023)
A Distributed Software Platform for Additive Manufacturing. In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2023), Sinaia, Romania, 12-15 September 2023. ISBN: 979-8-3503-3991-8
Contributo in Atti di Convegno (Proceeding)
Capogrosso, Luigi; Mascolini, Alessio; Girella, Federico; Skenderi, Geri; Gaiardelli, ... (2023)
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. In: Forum on specification & Design Languages, Turin, Italy, 13-15 September 2023, pp. 1-4. ISBN: 979-8-3503-0737-5
Contributo in Atti di Convegno (Proceeding)
Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, ... (2023)
Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line. In: The 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 16-19 October 2023
Contributo in Atti di Convegno (Proceeding)
Mascolini, Alessio; Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa (2022)
High Resolution Explanation Maps for CNNs using Segmentation Networks. In: 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Rome (Italy), 12-16 September 2022, pp. 1-3. ISBN: 978-1-6654-4214-5
Contributo in Atti di Convegno (Proceeding)
Mascolini, Alessio; Cardamone, Dario; Ponzio, Francesco; Di Cataldo, Santa; Ficarra, ... (2022)
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations. In: BMC BIOINFORMATICS, vol. 23. ISSN 1471-2105
Contributo su Rivista
Cannizzaro, Davide; Simone, Filomena; Illgner-Fehns, Klaus; Mata, Sara; Mondino, Ivan; ... (2022)
Quality inspection of critical aircraft engine components: towards full automation. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart (DE), 6th-9th September 2022
Contributo in Atti di Convegno (Proceeding)
Cannizzaro, Davide; Varrella, Antonio Giuseppe; Paradiso, Stefano; Sampieri, Roberta; ... (2022)
In-situ defect detection of metal Additive Manufacturing: an integrated framework. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol. 10, pp. 74-86. ISSN 2168-6750
Contributo su Rivista
Chiarion, Giovanni; Ponzio, Francesco; Terna, Stefano; Moglia, Cristina; Patti, Edoardo; ... (2022)
e-Pupil: IoT-based Augmentative and Alternative Communication device exploiting the pupillary near-reflex. In: IEEE ACCESS, vol. 10, pp. 130078-130088. ISSN 2169-3536
Contributo su Rivista

More publicationsLess publications

Santa Di Cataldo

Associate Professor (L. 240) Department of Control and Computer Engineering (DAUIN)