Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Advanced learning strategies for visual understanding
Tutors
Research presentation
Research interests
Biography
A key area of his work is reducing the high data and computational costs required to train deep neural networks. He has advanced the use of synthetic data generated through both traditional computer graphics techniques and cutting-edge generative models, such as diffusion-based architectures, to supplement or even replace real-world datasets. This approach not only reduces reliance on costly, manually labeled data but also enables fine-grained control over specific variables, resulting in balanced and diverse datasets that enhance model training.
Beyond data generation, his research explores integrating prior knowledge into model training. This strategy improves model robustness, adaptability to data drift, and long-term performance in dynamic environments. His contributions have been integral to several prominent projects, including the EU-funded CAMOUFLaGE - AI4media project, where he helped develop privacy-preserving diffusion models for image anonymization, and the FACETS project, which analyzed the social implications of face recognition technologies.
Awards and Honors
Teaching
Teachings
Master of Science
- Information systems. A.A. 2021/22, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
Bachelor of Science
- Informatica. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
- Basi di dati e sistemi informativi aziendali. A.A. 2023/24, INGEGNERIA DELLA PRODUZIONE INDUSTRIALE. Collaboratore del corso
- Basi di dati e sistemi informativi aziendali. A.A. 2022/23, INGEGNERIA DELLA PRODUZIONE INDUSTRIALE. Collaboratore del corso
- Informatica. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- 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 - 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) - 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) - 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 - Recalcati, Pietro; Garcea, Fabio; Piano, Luca; Lamberti, Fabrizio; Morra, Lia (2023)
Toward a Realistic Benchmark for Out-of-Distribution Detection. In: International Conference on Data Science and Advanced Analytics (DSAA 2023), Thessaloniki (GR), 09-13 October 2023. ISBN: 979-8-3503-4503-2
Contributo in Atti di Convegno (Proceeding)