Massimo Salvi

Massimo Salvi is an Assistant Professor at the Department of Electronics and Telecommunications of the Politecnico di Torino, Italy. His research focuses on biomedical signal and image processing, artificial intelligence, and deep learning, with a particular emphasis on developing hybrid techniques for complex biomedical problems. He leads projects in fluorescence microscopy analysis, dermatological imaging, and digital pathology.

Education: Master’s in Biomedical Engineering (Politecnico di Torino, 2014), PhD in Biomedical Engineering (Politecnico di Torino, 2018). Research areas include synthetic image generation via GANs, AI-driven diagnostics, and stain normalization in histology.

Key Projects: REAP (cancer cell analysis), DIPAT3-Care (digital pathology pathways), and automated solutions for microscopy imaging. Teaching activities include courses at DET@POLITO.

Research Contributions: Over 150 publications in AI-driven medical imaging, including work on uncertainty quantification, augmented reality in surgery, and histological image synthesis. His work bridges clinical needs with computational innovations.

Awards: No awards explicitly listed for Salvi in the provided text.