معرفی
Lorenzo Putzu is a Researcher (Assistant Professor) at the University of Cagliari's Department of Computer Science. He holds a PhD in Computer Science from the same institution (2016). His work focuses on pattern recognition techniques applied to medical imaging and video surveillance, including automated diagnosis support systems, security applications, and synthetic data generation for AI training. Since 2017, he has been part of the PRA Lab, contributing to projects like the IMMAGINA initiative for trustworthy AI in surveillance.
Education:
- Bachelor's Degree in Computer Science (2010)
- Master's Degree in Computer Science (2012)
- PhD in Computer Science (2016)
Research Interests:
- Medical image analysis for automated diagnosis (e.g., blood cell classification, histopathology)
- Video surveillance systems using AI (e.g., person re-identification, crowd counting)
- Synthetic data generation for improving model robustness
- Federated learning in healthcare applications
- Adversarial defense mechanisms in computer vision
Key Projects:
- Development of MIRIAMS for multiple sclerosis segmentation
- Advancing leukocyte classification methods for hematological analysis
- Pioneering work on federated learning for cell nuclei segmentation
Grant & Advising Activities:
- No explicit grants or advising roles listed
Labs/Teams: Active contributor to the PRA Lab, collaborating on interdisciplinary AI projects in healthcare and security.
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