Lia Morra

ERC sectors

SDG

Open badges

• RIMINI SCHOOL 2025 “SUCCESSFULLY PARTICIPATE IN CALLS FOR RESEARCH FUNDING”
  Issued by Politecnico di Torino on 18-05-2025
• Learning to Teach (L2T)
  Issued by Politecnico di Torino on 19-12-2023

• Frontiers in Medical Engineering (2022-), Editor of magazine, editorial series, encyclopaedia
• IEEE CONSUMER ELECTRONICS MAGAZINE (2020-), Associate Editor of magazine or editorial series

• Attivita' di insegnamento (art. 23 L. 240/10), presso Università degli Studi del PIEMONTE ORIENTALE (28/2/2022-30/9/2022)
• Attivita' di insegnamento (art. 23 L. 240/10), presso Università degli Studi del PIEMONTE ORIENTALE (8/3/2021-30/9/2021)

• Collegio di Ingegneria Gestionale e della Produzione. Componente
• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente

PhD

• Neuro-symbolic artificial intelligence. A.A. 2026/27, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Neuro-symbolic artificial intelligence. A.A. 2024/25, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Neuro-symbolic artificial intelligence. A.A. 2023/24, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Neuro-symbolic artificial intelligence. A.A. 2022/23, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher

Master of Science

• Machine learning for vision and multimedia. A.A. 2026/27, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Generative artificial intelligence for graphics and multimedia. A.A. 2026/27, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Tecnologie e metodi per la trasformazione digitale. A.A. 2026/27, INGEGNERIA GESTIONALE. Titolare del corso
• Machine learning for vision and multimedia. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Generative artificial intelligence for graphics and multimedia. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Tecnologie e metodi per la trasformazione digitale. A.A. 2025/26, INGEGNERIA GESTIONALE. Titolare del corso
• Machine learning for vision and multimedia. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Tecnologie e metodi per la trasformazione digitale. A.A. 2024/25, INGEGNERIA GESTIONALE. Titolare del corso
• Machine learning for vision and multimedia. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Tecnologie e metodi per la trasformazione digitale. A.A. 2023/24, INGEGNERIA GESTIONALE. Titolare del corso
• Machine learning for vision and multimedia. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Tecnologie e metodi per la trasformazione digitale. A.A. 2022/23, INGEGNERIA GESTIONALE. Titolare del corso
• Machine learning for vision and multimedia. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Information systems. A.A. 2021/22, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
• Machine learning for vision and multimedia. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Information systems. A.A. 2020/21, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso

Bachelor of Science

• Introduction to databases. A.A. 2026/27, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Introduction to databases. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Introduction to databases. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Introduction to databases. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Introduction to databases. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso

• GRAINS - GRAphics and INtelligent Systems (DAUIN)

Projects funded by competitive calls

• CAMOUFLAGE - Controllable AnonyMizatiOn throUgh diFfusion-based image coLlection GEneration, (2023-2024) - Responsabile Scientifico
  UE-funded research

Projects funded by commercial contracts

• Tecnologie Spaziali Innovative , (2025-2027) - Responsabile Scientifico
  Commercial Research
• Tecniche di intelligenza artificiale per l’analisi semiotica di immagini, (2025-2025) - Responsabile Scientifico
  Commercial Research
• Tecniche di intelligenza artificiale per l’analisi di dati satellitari, (2024-2025) - Responsabile Scientifico
  Commercial Research
• Studio di soluzioni di intelligenza artificiale per l’analisi di immagini medicali, (2023-2023) - Responsabile Scientifico
  Commercial Research
• Middleware per la raccolta di dati finalizzati all'analisi delle prestazioni nel gioco del tennis, (2023-2023) - Responsabile Scientifico
  Commercial Research
• Studio di soluzioni di intelligenza artificiale per l’analisi di immagini medicali, (2021-2023) - Responsabile Scientifico
  Commercial Research

• Laura Brisindi. Programme in Ingegneria Informatica E Dei Sistemi (41^st cycle, 2026-in progress)
• Shuming Si. Programme in Ingegneria Informatica E Dei Sistemi (41^st cycle, 2025-in progress)
• Pietro Basci. Programme in Ingegneria Informatica E Dei Sistemi (40^th cycle, 2024-in progress)
  Research subject: Generative AI models for enhanced text-to-image synthesis
  
  Data science, Computer vision and AI
• Rosario Milazzo. Programme in Ingegneria Informatica E Dei Sistemi (38^th cycle, 2023-in progress)
  Thesis: Robust, accurate and efficient deep neural networks for satellite and mobility applications
  
  Data science, Computer vision and AI
• Alessandro Sebastian Russo. Programme in Ingegneria Informatica E Dei Sistemi (38^th cycle, 2022-in progress)
  Thesis: Scalable architectures for neural-symbolic scene interpretation and generation
  
  Data science, Computer vision and AI
• Luca Piano. Programme in Ingegneria Informatica E Dei Sistemi (37^th cycle, 2021-2025)
  Thesis: Tackling Data Challenges in Computer Vision
  
  Data science, Computer vision and AI

• Russo, Alessandro; Morra, Lia; Lamberti, Fabrizio (2026)
  Neuro-Symbolic AI in Computer Vision: Toward More Interpretable, Efficient, Generalized, and Logical Visual Understanding Systems. In: IT PROFESSIONAL, vol. 28, pp. 26-34. ISSN 1520-9202
  Contributo su Rivista
• Manigrasso, Francesco; Calandra, Davide; Morra, Lia; Lamberti, Fabrizio (2026)
  Anomaly detection and localization with state-of-the-art deep learning models to support quality inspection in car manufacturing. In: ENGINEERING REPORTS, vol. 8. ISSN 2577-8196
  Contributo su Rivista
• Caretto, Michelangelo; Alliegro, Antonio; Milazzo, Rosario; Aponte, Osmari; Gatti, ... (2026)
  A deep learning model to predict GNSS from InSAR data. In: 2nd International Workshop on Computer Vision for Environment Monitoring and Preservation, Rome (Italy), 15-19 September 2025, pp. 339-351. ISSN 0302-9743. ISBN: 978-3-032-11317-7
  Contributo in Atti di Convegno (Proceeding)
• 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)
• Milazzo, Rosario; Fosson, Sophie; Morra, Lia; Sterpone, Luca (2026)
  Fault tolerant multi-object tracking via temporal consistency filtering. In: 23rd International Conference on Image Analysis and Processing (ICIAP) 2025, Rome (ITA), September 15–19, 2025, pp. 314-326. 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
• Manigrasso, Francesco; Milazzo, Rosario; Russo, Alessandro; Lamberti, Fabrizio; Strand, ... (2025)
  Mammography classification with multi-view deep learning techniques: investigating graph and transformer-based architectures. In: MEDICAL IMAGE ANALYSIS, vol. 99. ISSN 1361-8415
  Contributo su Rivista
• Liu, Lei; Zhang, Peng; Liang, Yunji; Liu, Junrui; Morra, Lia; Guo, Bin; Yu, Zhiwen; ... (2025)
  γ-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training. In: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, vol. 12, pp. 957-971. ISSN 2329-924X
  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)
• Milazzo, Rosario; Fosson, Sophie M.; Morra, Lia; Sterpone, Luca (2025)
  Self-supervised pretraining and quantization for fault tolerant neural networks: friend or foe?. In: IEEE ACCESS, vol. 13, pp. 75546-75562. ISSN 2169-3536
  Contributo su Rivista
• Russo, Alessandro; Morra, Lia; Lamberti, Fabrizio; Dimasi, PAOLO EMMANUEL ILARIO (2024)
  ESRA: A Neuro-Symbolic Relation Transformer for Autonomous Driving. In: International Joint Conference on Neural Networks (IJCNN) 2024, Yokohama (JPN), 30 June 2024 - 05 July 2024. ISBN: 979-8-3503-5931-2
  Contributo in Atti di Convegno (Proceeding)
• Morra, Lia; Santangelo, Antonio; Basci, Pietro; Piano, Luca; Garcea, Fabio; Lamberti, ... (2024)
  For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives. In: COMPUTER VISION AND IMAGE UNDERSTANDING, vol. 249. ISSN 1077-3142
  Contributo su Rivista
• Manigrasso, Francesco; Schouten, Stefan; Morra, Lia; Peter Bloem, And (2024)
  Probing LLMs for logical reasoning. In: 18th International Conference on Neuro-symbolic Learning and Reasoning, Barcelona (ESP), September 9–12, 2024, pp. 257-278. ISSN 0302-9743. ISBN: 978-3-031-71166-4
  Contributo in Atti di Convegno (Proceeding)
• Bianco, Selene; Corcione, Valeria; Maragliano, Matteo; Chiara Rodi, Giovanna; Marangoni, ... (2024)
  EASTERN project: Earth observation models for weather event mitigation. In: SPAICE Conference on AI in and for Space, London (UK), 17 – 19 September 2024, pp. 318-322
  Contributo in Atti di Convegno (Proceeding)
• Boscolo, Federico; Lamberti, Fabrizio; Morra, Lia (2024)
  Analyzing the performance of Deep Learning-based techniques for Human Pose Estimation. In: IEEE International Workshop on Sport Technology and Research (STAR), Lecco (ITA), 08-10 July 2024, pp. 193-198. ISBN: 979-8-3503-5145-3
  Contributo in Atti di Convegno (Proceeding)
• Piano, Luca; Basci, Pietro; Lamberti, Fabrizio; Morra, Lia (2024)
  Harnessing Foundation Models for Image Anonymization. In: 2024 IEEE Gaming, Entertainment, and Media Conference (GEM), Turin (ITA), 05-07 June 2024. ISBN: 979-8-3503-7453-7
  Contributo in Atti di Convegno (Proceeding)
• Mahmood, Usman; Shukla-Dave, Amita; Chan, Heang-Ping; Drukker, Karen; Samala, Ravi K; ... (2024)
  Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. In: British Journal of Radiology: Artificial Intelligence, vol. 1
  Contributo su Rivista
• Piano, Luca; Manigrasso, Francesco; Russo, Alessandro; Morra, Lia (2024)
  Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks. In: 18th International Conference on Neuro-symbolic Learning and Reasoning, Barcelona (ESP), September 9–12, 2024, pp. 14-23. ISSN 0302-9743. ISBN: 978-3-031-71169-5
  Contributo in Atti di Convegno (Proceeding)
• Daniel, Vergara; Samuel G., Armato; Lubomir, Hadjiiski; Karen, Drukker; Cha, Kenny; ... (2024)
  Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging. In: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, vol. 21, pp. 341-343. ISSN 1546-1440
  Contributo su Rivista
• Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; ... (2024)
  On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. In: 27th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Kielce (Polonia), 3-5 April 2024, pp. 110-115. ISBN: 979-8-3503-5934-3
  Contributo in Atti di Convegno (Proceeding)
• Piano, Luca; Garcea, Fabio; Cavallone, Andrea; Aparicio Vazquez, Ignacio; Morra, Lia; ... (2024)
  Drift Detection for Black Box Deep Learning Models. In: IT PROFESSIONAL, vol. 26, pp. 24-31. ISSN 1520-9202
  Contributo su Rivista

Patents and other intellectual properties

• Deep Neural Networks For Multi-View Mammography Classification. national and international Patent
  Inventors: Francesco Manigrasso Rosario Milazzo Lia Morra Alessandro Sebastian Russo