{"id":2941,"date":"2025-10-13T16:29:16","date_gmt":"2025-10-13T14:29:16","guid":{"rendered":"https:\/\/portale2.unime.it\/ai-healthlab\/?post_type=lo_staff&p=2941"},"modified":"2025-12-05T13:37:43","modified_gmt":"2025-12-05T12:37:43","slug":"daniele-ravi-2","status":"publish","type":"lo_staff","link":"https:\/\/portale2.unime.it\/ai-healthlab\/en\/lo_staff\/daniele-ravi-2\/","title":{"rendered":"Daniele Rav\u00ec"},"content":{"rendered":"\t\t
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Prof. Daniele Rav\u00ec

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Prof. Daniele Rav\u00ec<\/b> is an Associate Professor at the University of Messina, where he specializes in medical imaging, image-guided surgery, disease progression modeling, and smart sensing. He also holds an honorary appointment as an Associate Professor at University College London.
Dr. Rav\u00ec obtained his BSc and MSc in Computer Science, followed by a PhD in Computer Vision from the University of Catania. His academic training was further enriched by a visiting PhD year at the University of Surrey and postdoctoral appointments at Imperial College London and University College London. Beyond academia, he gained valuable industrial experience at STMicroelectronics and two technology startups.<\/p>\n

He currently leads the AI-HealthLab research group, which pioneers advanced artificial intelligence methods for healthcare. His team was among the first to develop generative AI models\u2014such as GANs and diffusion models\u2014capable of simulating individual neurodegenerative trajectories directly from clinical brain MRI data. He has secured over \u00a31.8M in research funding from bodies including Innovate UK and the Italian Ministry (FIS3), and has contributed to projects funded by the European Union and the EPSRC\/Wellcome Trust focusing on developing and commercializing AI-driven pipelines for healthcare. His leadership has consistently delivered successful research and industrial projects through the coordination of multidisciplinary teams, effective resource management, and strategic stakeholder engagement.<\/p>\n

Dr. Rav\u00ec is an active contributor to the scientific community, with over 20 journal articles in venues such as IEEE Transactions on Medical Imaging, Medical Image Analysis, and the IEEE Journal of Biomedical and Health Informatics, alongside numerous conference papers (e.g., MICCAI, MIDL, BSN, ICIP) and a patent. He serves as an Area Chair for leading conferences, including MICCAI and MIDL, and as an Associate Editor for Medical Image Analysis and Pattern Recognition. He also supervises PhD students, fosters industry collaborations, and teaches AI-related modules. His research has been nominated for a Best Paper Award at MICCAI and was a runner-up for the prestigious MedIA\u2013MICCAI special issue.<\/p>\n

For a complete list of publications, visit the Google Scholar profile<\/a>.<\/p>\n

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 <\/strong><\/p>\n

Modules Taught<\/strong><\/p>\n

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  • Programming (BSc Computer Science, Module Leader) \u2014 University of Messina<\/li>\n
  • Data Mining Analytics (BSc Computer Science, Module Leader) \u2014 University of Messina<\/li>\n
  • Big Data Acquisition (MSc Data Science, Module Leader) \u2014 University of Messina<\/li>\n
  • Informatics (School of Specialisation in Medicine) \u2014 University of Messina<\/li>\n<\/ul>\n<\/div>\n
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    <\/p>\n

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    Research Interests<\/b><\/div>\n
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    • Artificial Intelligence for Healthcare<\/li>\n
    • Disease Progression Modelling<\/li>\n
    • Generative and Diffusion Models<\/li>\n
    • Medical Imaging<\/li>\n
    • Smart Sensing and Digital Health<\/li>\n
    • Image-Guided Surgery<\/li>\n<\/ul>\n
       <\/div>\n<\/div>\n

      <\/p>\n

      \n\n\n\n\n
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      Education<\/div>\n<\/th>\n
      		\n
      Work Experience<\/div>\n<\/th>\n<\/tr>\n
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        \n
      • <\/i>
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        PhD in Computer Vision, 2014<\/p>\n

        University of Catania<\/p>\n<\/div>\n<\/li>\n

      • <\/i>
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        Visiting PhD Student, 2014<\/p>\n

        CVSSP, University of Surrey (UK)<\/p>\n<\/div>\n<\/li>\n

      • <\/i>
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        MSc in Computer Science, 2007<\/p>\n

        University of Catania<\/p>\n<\/div>\n<\/li>\n

      • <\/i>
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        BSc in Computer Science, 2005<\/p>\n

        University of Catania<\/p>\n<\/div>\n<\/li>\n

      • <\/i>
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        Secondary School Diploma, 2002<\/p>\n

        I.T.I.S. \u201cE. Torricelli\u201d, S. Agata Militello<\/p>\n<\/div>\n<\/li>\n<\/ul>\n<\/td>\n

      		\n
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      • <\/i>
        \n

        Associate Professor, 2024\u2013Present<\/p>\n

        University of Messina (IT)<\/p>\n<\/div>\n<\/li>\n

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        Reader \/ Senior Lecturer, 2021\u20132024<\/p>\n

        University of Hertfordshire (UK)<\/p>\n<\/div>\n<\/li>\n

      • <\/i>
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        Senior Research Fellow, 2017\u20132020<\/p>\n

        University College London (UK)<\/p>\n<\/div>\n<\/li>\n

      • <\/i>
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        Research Associate, 2014\u20132017<\/p>\n

        Imperial College London (UK)<\/p>\n<\/div>\n<\/li>\n

      • <\/i>
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        R&D Engineer, 2008\u20132014<\/p>\n

        STMicroelectronics, Visual-Atomss<\/p>\n<\/div>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"featured_media":2013,"template":"elementor_header_footer","class_list":["post-2941","lo_staff","type-lo_staff","status-publish","has-post-thumbnail","hentry","entry"],"yoast_head":"\nDaniele Rav\u00ec - AI-HealthLab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/portale2.unime.it\/ai-healthlab\/en\/lo_staff\/daniele-ravi-2\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Daniele Rav\u00ec - AI-HealthLab\" \/>\n<meta property=\"og:description\" content=\"Prof. Daniele Rav\u00ec dravi@unime.it Linkedin Github Google Facebook Download Curriculum Vitae Prof. Daniele Rav\u00ec is an Associate Professor at the University of Messina, where he specializes in medical imaging, image-guided surgery, disease progression modeling, and smart sensing. 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