{"id":10210,"date":"2025-06-30T17:22:45","date_gmt":"2025-06-30T15:22:45","guid":{"rendered":"https:\/\/www.crs4.it\/people\/giovanni-delussu\/"},"modified":"2026-04-05T19:10:54","modified_gmt":"2026-04-05T17:10:54","slug":"giovanni-delussu","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/","title":{"rendered":"Giovanni Delussu"},"content":{"rendered":"<p>Giovanni Delussu is a researcher in the &#8220;Digital Health&#8221; area which belongs to the &#8220;Visual and Data-Intensive Computing&#8221; research Program. He holds a Laurea (MSc) degree in  Aeronautical Engineering from the &#8220;Politecnico di Torino&#8221; (1993).  Afterwards he worked in the Italian Air Force as officer to ground  equipment aircraft maintenance. He joined the CRS4 in 1996. He has  worked in many different fields: algorithms and codes for mesh generation,  sail  aerodynamics, boat hydrodynamics, combustion, dynamic structural calculations on artificial heart valves, rocket for Mars exploration (Prof. Rubbia). He worked also in the renewable energy area, specifically  on  concentrated solar power (CSP) systems. Then he worked on &#8220;Big Data&#8221; problems. Presently he is working on digital healthcare solutions. In 2017 got his PhD in Innovation Sciences and Technologies jointly awarded by University  of Cagliari (UNICA), University of Aveiro (UAVR), Portugal, Pushchino  State Institute of Life Sciences, (PSILS), Pushchino, Russia and ENIM  Ecole Nationale  de l&#8217;Industrie Minerale, Morocco with a thesis in the field of Biomedical Informatics. Main interests:surfing, tennis<\/p>\n","protected":false},"featured_media":4169,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-10210","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"name":"Giovanni","surname":"Delussu","email":"surfer@crs4.it","phone":"","user_uuid":"e3c3bb88-99fc-1032-95fe-0030485a3848","personal_page":"","google_scholar_id":"","position":"Researcher","microsoft_academic_id":"","project_coordinator":[{"ID":19654,"post_author":"4","post_date":"2025-07-03 18:22:43","post_date_gmt":"2025-07-03 16:22:43","post_content":"The main goal of this project is transferring the know-how acquired by CRS4 on the main Big Data technologies to the regional industrial fabric.","post_title":"DaSSIA","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"dassia","to_ping":"","pinged":"","post_modified":"2026-04-02 12:36:30","post_modified_gmt":"2026-04-02 10:36:30","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/dassia\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":12561,"post_author":"4","post_date":"2025-07-03 18:17:44","post_date_gmt":"2025-07-03 16:17:44","post_content":"The LIFEMap Project \"From Pediatric Pathology to Cardiovascular and Neoplastic Diseases in Adults: Genomic Mapping for Personalized Medicine and Prevention\" - Trajectory 3 of the Operational Health Plan of the Ministry of Health - aims to identify pathological and sub-pathological conditions in children and\/or predictive genetic profiles associated with an increased risk of serious diseases in adults, taking into account environmental risk factors to develop personalized therapy and prevention plans for both children and adults.\n\u00a0For this purpose, the following will be undertaken:\n\n<li>Development of a federated database for the integration of genomic and phenotypic data;<\/li>\n<li>Utilization of a dataset (\u22655,000 patients) comprising clinical, genomic, and environmental (lifestyle) data for AI analysis;<\/li>\n<li>Recruitment of new cases, both pediatric and adult (5,000 patients), with detailed clinical characterization;<\/li>\n<li>Development of a scalable and reusable platform for the analysis and sharing of new data (1,400 WGS, 3,600 SNP);<\/li>\n<li>Identification of a series of genetic variants and profiles associated with the risk of developing obesity, chronic inflammatory diseases, pediatric neoplasms, and their complications in adulthood;<\/li>\n<li>Development of an AI analysis framework and application of Deep Learning for Network Medicine;<\/li>\n<li>Implementation of a biobank of samples, potentially reusable beyond the project's completion.<\/li>\n\nCRS4 will take part in the project with the following activities:\n<ul>\n<li>Whole Genome Sequencing on approximately 1,000 samples;<\/li>\n<li>development of scalable and reusable platforms for WGS data analysis for variant identification;<\/li>\n<li>genomic data modeling, standardization and sharing in international reference platforms;<\/li>\n<li>application of scalable platforms for WGS analysis and data sharing;<\/li>\n<li>scientific dissemination.<\/li>\n<\/ul>\n<ul>\n<\/ul>","post_title":"LIFEMAP","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"lifemap","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:01","post_modified_gmt":"2026-04-02 10:32:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/lifemap\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12672,"post_author":"4","post_date":"2025-07-03 18:18:00","post_date_gmt":"2025-07-03 16:18:00","post_content":"The Lab FAIR Data Project is part of the I FAIR Programme \"Enhancement of Independent Clinical Research and FAIR\", which aims to support independent clinical research conducted spontaneously by non-commercial promoters within the Regional Health System Institutions, promoting the adoption of FAIR Principles for research results that can be <em>Findable, Accessible, Interoperable and Reusable<\/em>.\nCRS4 is one of the main creators of the I FAIR Programme and is in charge of its strategic design and implementation, together with Expert Patients' Associations and the Universities of Cagliari and Sassari, with the coordination of the Biomedical Research Support Unit of Sardegna Ricerche.\nWithin the framework of the I FAIR Programme, CRS4 has contributed and continues to contribute to the dissemination of the importance of the application of the FAIR Principles among the scientific community on the territory, through dissemination, training and support initiatives towards a shared culture of management and valorisation of the data collected in the framework of research activities.\nCRS4 has also set up the Regional Biomedical Research Registry, a tool designed to improve the quality, reusability and sustainability of clinical research. It is an infrastructure built according to the FAIR Principles and aimed at collecting a set of descriptive metadata related to independent clinical trials, in order to facilitate the sharing and reuse of the data collected and generated.\nThe Registry is in the process of being populated with metadata from the clinical trials identified during the FAIR I Calls, and is publicly accessible online at:\n<a>https:\/\/ifair.crs4.it<\/a>\nThe I FAIR Programme was born in coherence with and implementation of the Smart Specialisation Strategy (S3) of the POR-FESR 2014-20 for the strategic area of Biomedicine, confirmed and extended in the S3 of the POR FESR 2021-27.","post_title":"Lab FAIR Data","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"lab-fair-data","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:23","post_modified_gmt":"2026-04-02 10:32:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/lab-fair-data\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12678,"post_author":"4","post_date":"2025-07-03 18:18:12","post_date_gmt":"2025-07-03 16:18:12","post_content":"The purpose of the ToPMa Project is the creation of tools and methodologies that enable the transfer of individual health data to personal repository systems made available to the citizens, in a continuous and automatic manner, from institutional and non-institutional sources, based on what is specified in an informed consent defined prior to the start of data transfer and dynamically modifiable at any time by the individuals.","post_title":"ToPMa","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"topma","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:14","post_modified_gmt":"2026-04-02 10:32:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/topma\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12688,"post_author":"4","post_date":"2025-07-03 18:18:25","post_date_gmt":"2025-07-03 16:18:25","post_content":"The aim of this training course is to consolidate skills useful for tackling the transition of the BBMRI-ERIC biobanks geared to the cornerstones of the FAIR Principles (Findability-Accessibility-Interoperability-Reusability), particularly with regard to the data held and the processes that generate or aggregate them.<br\/>The programme starts by reinforcing the participants' skills in system and biomedical data management and explores the topics of interoperability (technical and semantic), scalable and reproducible computing and the application of the FAIR Principles in biomedical research contexts.<br\/>The course is organised in theoretical lectures accompanied by practical sessions (topic-specific or as part of the realisation of a final project).","post_title":"BBMRI TRAINING","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-training","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:43","post_modified_gmt":"2026-04-02 10:32:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-training\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13305,"post_author":"4","post_date":"2025-07-03 18:19:01","post_date_gmt":"2025-07-03 16:19:01","post_content":"The BBMRI Common Service IT aims to:\n\n<li>Enable the <strong>findability <\/strong>of biobanking and biomolecular resources;<\/li>\n<li>Facilitate <strong>access <\/strong>to biobanks;<\/li>\n<li>Help biobanks in providing quality-defined samples &amp; datasets;<\/li>\n<li>Support <strong>legal and ethical compliance<\/strong>;<\/li>\n<li><strong>Support biobanks <\/strong>in implementing missing IT components.<\/li>\n\nThe project strives to achieve its objectives by defining neutral interfaces and data models to facilitate search, access, communication and interoperability across the European biobanking landscape. In addition, it provides open source reference implementations of these interfaces and data models, while also encouraging the BBMRI-ERIC community and private entities to contribute their own implementations that can be connected to the overall network.","post_title":"BBMRI CS IT","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-cs-it","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:07","post_modified_gmt":"2026-04-02 10:33:07","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-cs-it\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14749,"post_author":"4","post_date":"2025-07-03 18:19:19","post_date_gmt":"2025-07-03 16:19:19","post_content":"EOSC Future responds to INFRAEOSC-03-2020 call in order to integrate,  consolidate, and connect e-infrastructures, research communities, and  initiatives in Open Science to further develop the EOSC Portal,  EOSC-Core and EOSCExchange of the European Open Science Cloud (EOSC).  EOSC Future is structured around six thematic pillars that strategically  group the work package tasks and activities and coherently present the  key objectives and activities of the project to stakeholders: Pillar 1  on Policy &amp; Strategy will coordinate and support a strategic vision  for the future EOSC; Pillar 2 on Connection &amp; Integration will  connect and integrate EOSC infrastructures, data, and services; Pillar 3  on Excellent Science &amp; Interdisciplinarity will extend the EOSC  value Chain with scientific use cases; Pillar 4 on Growth &amp;  Innovation will grow and innovate EOSC with value-added services; Pillar  5 on Skills &amp; Training will train users and providers of the EOSC  ecosystem; and Pillar 6 on Engagement &amp; Communications will engage  the wider EOSC Community at a global level. EOSC Future will unlock the  potential of European research via a vision of Open Science for Society  by (1) bringing all major stakeholders in the EOSC ecosystem together  under one project umbrella to break the disciplinary and community silos  and consolidate key EOSC project outputs, (2) developing scientific use  cases in collaboration with the thematic communities showcasing the  benefits and societal value of EOSC for doing excellent and  interdisciplinary research, (3) engaging the wider EOSC community and  increasing the visibility of EOSC through communications campaigns,  marketing strategies, and physical and online engagement events, and (4)  including the EOSC community in developing the EOSC Portal (including  the long tail of science, public and private sectors, and international  partners) via co-creation open calls.","post_title":"EOSC Future","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"eosc-future","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:20","post_modified_gmt":"2026-04-02 10:33:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/eosc-future\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14965,"post_author":"4","post_date":"2025-07-03 18:19:37","post_date_gmt":"2025-07-03 16:19:37","post_content":"The project aims to consolidate and develop integrated and interoperable technologies for digital medicine able to support complex diagnostic and\/or experimental processes, integrating heterogeneous data from different sources (e.g., clinical databases, genomic analysis pipelines, molecular biology systems), according to the main international standards and guidelines. In this context, particular efforts will be targeting digital pathology tools and techniques.","post_title":"PAM","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"pam","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:31","post_modified_gmt":"2026-04-02 10:33:31","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/pam\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":14972,"post_author":"4","post_date":"2025-07-03 18:19:40","post_date_gmt":"2025-07-03 16:19:40","post_content":"PATH combines automation technology, experience in proteomic and genomic diagnostics and expertise in the field of clinical informatics, in relation to processes and management of large amounts of biomedical data, to define enabling technologies that allow to substantially redesign the work paths of pathological anatomy laboratories in order to improve their productivity, and the quality of diagnosis and prognosis.\n<br\/>The main aim of the PATH project is to define enabling technologies that allow to substantially redesign the \"productive\" process of pathological anatomy laboratories. The mechanisms on which it proposes to act concern: the automation of the handling and storage of samples, in order to create chains such as Total Laboratory Automation for the pipelines of analysis; the traceability of samples and the efficient remote access to the results in order to ensure an efficient interface of the laboratory with external hospital facilities.\n<br\/>The various prototypes and the research and development activities related to them will demonstrate in a concrete way the possibility of extending to the field of pathological anatomy the ICT and process automation technologies already widespread and consolidated in other diagnostic sectors, such as laboratory analysis and radiology, despite the substantial differences in the process and the different clinical needs.\nIn addition to demonstrating the feasibility of this evolution in the field of pathological anatomy, it will be highlighted, through studies and some specific implementations, how this paradigm shift can lay the foundations for the near future of clinical diagnostics, creating the conditions for the creation of an integrated diagnostic laboratory (clinical chemistry\/pathological anatomy) that includes in the diagnostic workflow innovative methods such as genomics and proteomics procedures, with a view to progress towards personalized medicine.\n<br\/>The objectives considered are at the frontier of the state of the art for industrial research: the results of the activities will be specialized in oncology, but they are of general interest and the innovative models of activities in the field of health can be adopted and extended in other clinical contexts, also thanks to the use of open and interoperable technological solutions.\nThe training project, associated with the PATH research project, aims to train industrial researchers with specific skills in the most innovative aspects of modern digital medicine technologies such as: research and development of innovative systems of robotized management of samples for complex examinations on multiple markers and different diagnostic methods; techniques for integration of digital services for diagnostics with new experimental methods (high-processor sequencing, proteomics, genetic profiling); scalable methodologies of management, transfer, analysis and visualization of large moles of biomedical data.","post_title":"PATH","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"path","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:34","post_modified_gmt":"2026-04-02 10:33:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/path\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19780,"post_author":"4","post_date":"2025-07-03 18:27:07","post_date_gmt":"2025-07-03 16:27:07","post_content":"The aim of the VIVA project is to develop tools for the modern hemodynamicist and cardiovascular surgeon to study and interpret the constantly increasing amount of information being produced by non-invasive imaging equipment. In particular, we are developing a system that will be able to process and visualize 3D medical data, reconstruct the geometry of arteries of specific patients and to simulate blood flow in them. The initial applications of the system will be for clinical research and training purposes. In a later stage we will explore the application of the system to surgical planning. VIVA is based on an integrated set of tools, each dedicated to a specific aspect of the data processing and simulation pipelines:image processing and segmentation3D geometry modeling, handling and reconstruction3D mesh generationblood flow simulation, visualization, and real-time 3D imaging structural computations.","post_title":"VIVA","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"viva","to_ping":"","pinged":"","post_modified":"2026-04-02 12:39:37","post_modified_gmt":"2026-04-02 10:39:37","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/viva\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":602543,"post_author":"4","post_date":"2026-04-02 12:32:21","post_date_gmt":"2026-04-02 10:32:21","post_content":"The project\u2019s activities form part of the Strengthening BBMRI.it project, funded by the European Union\u2019s Next Generation Europe initiative and led by the Italian National Node (BBMRI.it) of BBMRI-ERIC. Specifically, the objectives of Work Package 2, dedicated to the Ethical, Legal and Social Implications (ELSI) infrastructure, include the development of a pilot project designed to:<br\/>1.\u00a0 \u00a0 dynamically integrate participants\u2019 informed consent, represented using the international Common Conditions of Use Elements (CCE) terminology;<br\/>2.\u00a0 \u00a0 develop and co-create a BBMRI app for digital consent\/assent;\u00a0<br\/>3.\u00a0 \u00a0 characterise biobank samples using ELSI metadata (participants\u2019 pseudonymised preferences translated into CCE) in an interoperable format;<br\/>4.\u00a0 \u00a0 provide a bidirectional digital interface between citizen-participants and biobanks, created in collaboration with the BBMRI community (including doctors, data protection officers and representatives of patients, citizens and mature minors);<br\/>5.\u00a0 \u00a0 define strategies and tools for a future extension of the results of the Italian pilot project beyond national borders, integrating ELSI metadata within the BBMRI-ERIC Federated Platform (FP), in particular within the Locator system.<br\/><br\/><br\/>The project focuses on the final point and aims to develop models and tools for exporting consent preferences, based on CCEs, from research biobank IT management systems (Biobank IT Management System \u2013 BIMS), in standard formats compatible with the BBMRI-ERIC Federated Platform.<br\/><br\/>","post_title":"BBMRI.it Consent","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"bbmri-it-consent","to_ping":"","pinged":"","post_modified":"2026-04-02 12:39:58","post_modified_gmt":"2026-04-02 10:39:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/bbmri-it-consent\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Giovanni Delussu - CRS4<\/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:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Giovanni Delussu - CRS4\" \/>\n<meta property=\"og:description\" content=\"Giovanni Delussu is a researcher in the &#8220;Digital Health&#8221; area which belongs to the &#8220;Visual and Data-Intensive Computing&#8221; research Program. He holds a Laurea (MSc) degree in Aeronautical Engineering from the &#8220;Politecnico di Torino&#8221; (1993). Afterwards he worked in the Italian Air Force as officer to ground equipment aircraft maintenance. He joined the CRS4 in [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/\" \/>\n<meta property=\"og:site_name\" content=\"CRS4\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/pages\/CRS4\/153623948010688\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-05T17:10:54+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.crs4.it\/wp-content\/uploads\/delussu-giovanni.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"180\" \/>\n\t<meta property=\"og:image:height\" content=\"180\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/\",\"url\":\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/\",\"name\":\"Giovanni Delussu - CRS4\",\"isPartOf\":{\"@id\":\"https:\/\/www.crs4.it\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.crs4.it\/wp-content\/uploads\/delussu-giovanni.jpg\",\"datePublished\":\"2025-06-30T15:22:45+00:00\",\"dateModified\":\"2026-04-05T17:10:54+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/#primaryimage\",\"url\":\"https:\/\/www.crs4.it\/wp-content\/uploads\/delussu-giovanni.jpg\",\"contentUrl\":\"https:\/\/www.crs4.it\/wp-content\/uploads\/delussu-giovanni.jpg\",\"width\":180,\"height\":180},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.crs4.it\/en\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"People\",\"item\":\"https:\/\/www.crs4.it\/en\/people\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Giovanni Delussu\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.crs4.it\/en\/#website\",\"url\":\"https:\/\/www.crs4.it\/en\/\",\"name\":\"CRS4\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.crs4.it\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.crs4.it\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.crs4.it\/en\/#organization\",\"name\":\"CRS4\",\"url\":\"https:\/\/www.crs4.it\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.crs4.it\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.crs4.it\/wp-content\/uploads\/CRS4.trentennale_3.png\",\"contentUrl\":\"https:\/\/www.crs4.it\/wp-content\/uploads\/CRS4.trentennale_3.png\",\"width\":1518,\"height\":577,\"caption\":\"CRS4\"},\"image\":{\"@id\":\"https:\/\/www.crs4.it\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/pages\/CRS4\/153623948010688\",\"https:\/\/www.instagram.com\/crs4.it\/\",\"https:\/\/www.youtube.com\/CRS4video\",\"https:\/\/www.linkedin.com\/company\/crs4\",\"https:\/\/www.slideshare.net\/CRS4\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Giovanni Delussu - CRS4","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.crs4.it\/en\/people\/giovanni-delussu\/","og_locale":"en_US","og_type":"article","og_title":"Giovanni Delussu - CRS4","og_description":"Giovanni Delussu is a researcher in the &#8220;Digital Health&#8221; area which belongs to the &#8220;Visual and Data-Intensive Computing&#8221; research Program. He holds a Laurea (MSc) degree in Aeronautical Engineering from the &#8220;Politecnico di Torino&#8221; (1993). Afterwards he worked in the Italian Air Force as officer to ground equipment aircraft maintenance. 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