Massimo Salvi

Massimo Salvi's picture

Fixed-term tenure-track assistant professor
Department of Electronics and Telecommunications (DET)

  • Member of Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab
  • Member Department Council - DET (DET)

Profile

Keywords

Computational pathology
Deep learning
Digital pathology
Machine learning for biomedical data interpretation
Medical imaging
Multimodal analysis
Uncertainty quantification

Scientific branch

IBIO-01/A - Bioengineering
(Area 0009 - Industrial and information engineering)

Research topics

  • Artificial intelligence algorithms for computational oncology and precision medicine
  • Deep learning techniques for quantitative histopathological image analysis
  • Generative models and color normalization in digital pathology
  • Multimodal systems for biomedical imaging and physiological signal analysis
  • Uncertainty quantification in deep learning models for clinical applications

Skills

ERC sectors

PE6_6 - Algorithms and complexity, distributed, parallel and network algorithms, algorithmic game theory
PE6_7 - Artificial intelligence, intelligent systems, natural language processing
PE6_8 - Computer graphics, computer vision, multimedia, computer games
LS7_14 - Digital medicine, e-medicine, medical applications of artificial intelligence
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
LS7_1 - Medical imaging for prevention, diagnosis and monitoring of diseases
LS7_2 - Medical technologies and tools (including genetic tools and biomarkers) for prevention, diagnosis, monitoring and treatment of diseases
PE1_19 - Scientific computing and data processing
PE6_3 - Software engineering, programming languages and systems

SDG

Goal 3: Good health and well-being
Goal 9: Industry, Innovation, and Infrastructure

Awards and Honors

  • Premio Qualità conferred by Politecnico di Torino, Italy (2019)
  • Premio di Dottorato GNB (Gruppo Nazionale di Bioingegneria) conferred by Gruppo Nazionale di Bioingegneria (GNB), Italy (2019)

Teaching

Collegi of the degree programmes

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research projects

Projects funded by competitive calls

Supervised PhD students

  • Eva Raina. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (41st cycle, 2025-in progress)
  • Alen Shahini. Programme in Bioingegneria E Scienze Medico-chirurgiche (40th cycle, 2024-in progress)
    Research subject: Development and validation of artificial intelligence-based multimodal models for medical image processing.
    Biomedical signal and image processing
    Biomedical signal and image processing
    Biomedical signal and image processing
  • Andrea Ferraris. Programme in Bioingegneria E Scienze Medico-chirurgiche (39th cycle, 2023-in progress)
    Research subject: Synthetic ultrasound image simulator using generative AI, with custom preset applications, based on semantically editable images via a dedicated editor.
    Computer Science
    Biomedical signal and image processing
    Computer Science
    Biomedical signal and image processing
  • Francesco Branciforti. Programme in Bioingegneria E Scienze Medico-chirurgiche (37th cycle, 2021-2025)
    Thesis: From in vitro to in vivo imaging: advanced computational methods for multi-scale biomedical image analysis
    Biomedical signal and image processing
    Biomedical signal and image processing
    Biomedical signal and image processing
  • Francesco Marzola. Programme in Bioingegneria E Scienze Medico-chirurgiche (36th cycle, 2020-2024)
    Thesis: Deep learning in Ultrasound Imaging and beyond: from discriminative analysis to generative models
    Biomedical signal and image processing
    Biomedical signal and image processing
    Biomedical signal and image processing

Publications

Latest publications View all publications in Porto@Iris

Intellectual and industrial property

Patents and other intellectual properties