Research Assistant
Department of Control and Computer Engineering (DAUIN)
Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)
Teaching
Teachings
Master of Science
- Machine learning for vision and multimedia. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Machine learning for vision and multimedia. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Machine learning for vision and multimedia. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Challenge@PoliTo by Firms - Students from the future. A.A. 2021/22, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
- Piattaforme mobili e servizi cloud. A.A. 2020/21, INGEGNERIA GESTIONALE. Collaboratore del corso
Bachelor of Science
- Introduction to databases. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Architectural Design in the Age of AI (modulo di Information Processing Systems). A.A. 2025/26, ARCHITETTURA (ARCHITECTURE). Collaboratore del corso
- Introduction to databases. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Introduction to databases. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
- Informatica. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
- Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Cannavo', Alberto; Manigrasso, Francesco; Moro, Federica; Lamberti, Fabrizio (In stampa)
BODIES: BOdy shape parameter and 3D meshes of Individuals basEd on SUPR. In: SCIENTIFIC DATA. ISSN 2052-4463
Contributo su Rivista - Manigrasso, Francesco; Calandra, Davide; Morra, Lia; Lamberti, Fabrizio (In stampa)
Anomaly detection and localization with state-of-the-art deep learning models to support quality inspection in car manufacturing. In: ENGINEERING REPORTS. ISSN 2577-8196
Contributo su Rivista - Dahmardeh, Malihe; Saadatpour, Mohsen; Manigrasso, Francesco; Morra, Lia; Setti, ... (2026)
NeSyLAD: A Neuro-Symbolic Approach for Unsupervised Logical Anomaly Detection. In: 23rd International Conference on Image Analysis and Processing (ICIAP), Rome (ITA), September 15–19, 2025,, pp. 598-610. ISSN 0302-9743. ISBN: 978-3-032-10191-4
Contributo in Atti di Convegno (Proceeding) - Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia (2026)
Boosting zero-shot learning through neuro-symbolic integration. In: PATTERN RECOGNITION, vol. 170. ISSN 0031-3203
Contributo su Rivista - Basci, Pietro; Greco, Salvatore; Manigrasso, Francesco; Cerquitelli, Tania; Morra, Lia (2025)
Explaining Concept Drift via Neuro-Symbolic Rules. In: European Workshop on Trustworthy AI (TRUST-AI), Bologna (ITA), 25-26 ottobre 2025, pp. 61-72. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding)
Knowledge Valorisation
Technology transfer
- Deep Neural Networks For Multi-View Mammography Classification. national and international Patent
Inventors: Francesco Manigrasso Rosario Milazzo Lia Morra Alessandro Sebastian Russo