{"id":10024,"date":"2025-06-30T17:26:00","date_gmt":"2025-06-30T15:26:00","guid":{"rendered":"https:\/\/www.crs4.it\/people\/raffaella-sanna\/"},"modified":"2026-04-09T20:13:45","modified_gmt":"2026-04-09T18:13:45","slug":"raffaella-sanna","status":"publish","type":"people","link":"https:\/\/www.crs4.it\/en\/people\/raffaella-sanna\/","title":{"rendered":"Raffaella Sanna"},"content":{"rendered":"<p>Raffaella holds a Master&#8217;s degree in Mathematics (University of Cagliari, Italy). She  started her experience at CRS4 in 2000, working on her experimental  degree thesis in Fluid Dynamics.From 2000 to 2010 she has worked as a software engineer for the ICT  Programme, improving her knowledge in distributed applications  development (with Java technologies) and Agile Methodologies for  software lifecycle management (XP-eXtreme Programming, Scrum, etc.). She  entered several research projects publishing articles for both national  and international conferences.Since 2008, she has focused her interest on project management and fund  raising for scientific research, in particular European funds, programs  and agendas, also national and regional. She constantly empowers her  knowledge in these fields.From June 2010 to May 2016 she worked as an expert technologist in the CRS4 Project Office, supporting the research teams in  project development and partnership building.In 2015 she has spent one year of unpaid leave working as project  developer and marketing assistant in Entando (http:\/\/www.entando.com),  an Italian IT company active in the field of DXP platforms.In June 2016 she joined the CRS4 &#8220;Smart Environments and Technologies&#8221; research group as expert in project management, proposal development and partnership building in the smart cities sector.She is PMP\u00ae Project Management Professional certified (License 2149870) and CSM\u00ae Certified ScrumMaster\u00ae (Certificant ID 000941328, BadgeCert ID 1067585).<\/p>\n","protected":false},"featured_media":4065,"template":"","meta":{"_acf_changed":false},"gruppo":[99],"class_list":["post-10024","people","type-people","status-publish","has-post-thumbnail","hentry","gruppo-tecnologie-digitali-en"],"acf":{"name":"Raffaella","surname":"Sanna","email":"raffa@crs4.it","phone":"+39 070 9250317","user_uuid":"e3c2ad06-99fc-1032-95fe-0030485a3848","personal_page":"https:\/\/www.linkedin.com\/in\/raffaella-sanna\/","google_scholar_id":"","position":"Technologist","project_coordinator":"","microsoft_academic_id":"","team_members":[{"ID":14978,"post_author":"4","post_date":"2025-07-03 18:19:45","post_date_gmt":"2025-07-03 16:19:45","post_content":"The ArchaeoSardinia project aims to define a methodology based on remote sensing for nuragic and pre-nuragic archaeological sites study, that can be applied to the whole regional territory.","post_title":"ArchaeoSardinia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"archaeosardinia","to_ping":"","pinged":"","post_modified":"2026-04-02 12:33:38","post_modified_gmt":"2026-04-02 10:33:38","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/archaeosardinia\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19585,"post_author":"4","post_date":"2025-07-03 18:20:35","post_date_gmt":"2025-07-03 16:20:35","post_content":"Cagliari 2020 is an industrial research initiative developed in the     context of Smart Cities. The project consortium is composed of     public and private partners: in addition to CRS4, it includes the     Department of Electrical and Electronic Engineering (DIEE) of     University of Cagliari, INFN (Italian National Institute for Nuclear     Physics), Vitrociset (large enterprise) and Space (SME). Cagliari     2020 will see also the active involvement of the Municipality of     Cagliari and the CTM, the metropolitan public transport company.<br\/> The project faces the increasing need of tools and technological     solutions that can enable the optimization of urban mobility: Cagliari and its metropolitan area represent an ideal case study for     the development and experimentation in this scenario, especially due     to a public transport management system that already operates at the     cutting-edge of industry standards.<br\/> Through the acquisition of information coming from vehicles     circulating in appropriate reference corridors and integrating it     with people moving habits, a punctual representation of the urban     mobility ecosystem can be obtained. The integration of environmental     modeling with the Intelligent Transport System (ITS) developed under     Cagliari 2020 will allow the optimization of public and private     traffic flows in the urban area, together with pollutant emissions     control and reduction.<br\/> The project aims to provide public organizations with a set of Decision Support Systems based on innovative models that will be     developed within the project. Specific levels of information will be     made available adopting an \"open data\" approach. This will enable     and stimulate the creation of new multisector businesses focused on     the development of services for mobility planning and environmental     sustainability.","post_title":"CAGLIARI 2020","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"cagliari-2020","to_ping":"","pinged":"","post_modified":"2026-04-02 12:34:22","post_modified_gmt":"2026-04-02 10:34:22","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/cagliari-2020\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19604,"post_author":"4","post_date":"2025-07-03 18:21:08","post_date_gmt":"2025-07-03 16:21:08","post_content":"The overall objective is to develop a Smart User Experience Platform (UXP) intended for the communication between human and a more pervasive digital world. The DXP development is based on the Digital Transformation (DX) paradigm, a process composed of user or customer oriented technologies. The CRS4's work starts from a deep analysis of the state of the art of Internet of Things\/Internet of Everything devices (smart devices), in order to define a micro-services architecture that can allow to mitigate the currently hardware weaknesses and limits and to guarantee the possibility of creating networks composed of a large number of objects, in line with the objectives expected for the Entando UXP platform. The outcomes of the project include, from one hand, an a high-level architectural model suitable for the integration of the pervasive IoT\/IoE components. From the other, a Smart City vertical application.","post_title":"ENTANDO","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"entando","to_ping":"","pinged":"","post_modified":"2026-04-02 12:34:56","post_modified_gmt":"2026-04-02 10:34:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/entando\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":19740,"post_author":"4","post_date":"2025-07-03 18:25:29","post_date_gmt":"2025-07-03 16:25:29","post_content":"DART (Distributed Agent-based Retrieval Tools) is a research project  focused on studying, developing and testing of new information retrieval  patterns and integrated tools to improve the quality of search engines  results, with the main objective of satisfying user needs.Search engines  help people to find information in the largest public knowledge system  of the world: the Web. Unfortunately its size makes very complex to  discover the right information: the users face with lots of useless  results forcing them to select one by one the most suitable. The new  generation of search engines evolves from keyword-based indexing and  classification to more sophisticated techniques considering the meaning,  the context and the usage of information","post_title":"DART","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"dart","to_ping":"","pinged":"","post_modified":"2026-04-02 12:38:40","post_modified_gmt":"2026-04-02 10:38:40","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/dart\/","menu_order":0,"post_type":"projects","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12572,"post_author":"4","post_date":"2025-07-03 18:17:49","post_date_gmt":"2025-07-03 16:17:49","post_content":"The continuing advances and increasing pervasiveness of simulation methods and data acquisition and processing tools enable us to measure and characterize natural and artificial objects, environments, and processes in ever greater detail and at ever higher generation rates. The fields of science, engineering, and technology are increasingly defined by data-driven approaches and need scalable solutions to make the most of the vast masses of information available. The study, development, and application of methods and technologies for processing, analyzing, exploring, and sharing massive and\/or complex data are, therefore, at the heart of all strategic research plans, both at the European and National scales and for regional smart specialization.\u00a0\nCRS4 actively contributes to this field of research and has now achieved a leading role in the national landscape. The institutional project XDATA, funded by the contribution under art. 9 L.R. 20\/2015, aims to consolidate and strengthen the center's activities in this strategic area and is divided into two parallel strands of activity:\n<ul>\n<li>The first stream, developed within the ViDiC sectore and leveraging synergies with initiatives at the national and international scale in the field of <strong>visual and data-intensive computing<\/strong>, focuses on scalable, and where possible shared and interoperable, enabling methods and technologies for acquiring, creating, processing, distributing and exploring complex and\/or massive datasets from simulations or measurements of real phenomena, objects, environments or processes. In particular, we will target our interest on: distributed computing, automation and machine learning solutions to improve the scalability of all processes; adaptive and intelligent visual computing methods for both the processing and understanding of geometric and visual data and their presentation; and management and sharing solutions based on data and process modeling using open formalisms, with a specific focus on the traceability and reproducibility of each process step. These general solutions will then be applied in vertical solutions in application areas that will include digital medicine, cultural heritage, and, more generally, digital science, engineering, and society.<\/li>\n<li>\nThe second strand, on the other hand, is developed within the Digital Technologies sectore, and focuses on the <strong>remote sensing<\/strong> supply chain, where the need emerges for a systematic structuring of processes for managing information flows, whether derived from satellite observation, aerial sensing, or ground-based networks, and the establishment of a persistent information base of aggregation of the time series of interest, functional for feeding models in the domains of interest and for multi-scenario representation of geographic output. The development of data fusion methodologies in the different spectral ranges, in line with the activities of ongoing projects, also requires the study of operational-type processing methodologies, especially where real-time requirements may be relevant. Application areas will mainly address the issues of resource access and environmental sustainability.\n<\/li>\n<\/ul>\n\u00a0\nIncluded in the project are specific activities targeting: research, development, and technology transfer; pilot studies; maintenance of dedicated research and development infrastructure; scientific dissemination; standardization activities; and other activities aimed at achieving greater integration with the scientific community and public and private entities.","post_title":"XDATA","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"xdata","to_ping":"","pinged":"","post_modified":"2026-04-02 12:32:06","post_modified_gmt":"2026-04-02 10:32:06","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/projects\/xdata\/","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>Raffaella Sanna - 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\/raffaella-sanna\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Raffaella Sanna - CRS4\" \/>\n<meta property=\"og:description\" content=\"Raffaella holds a Master&#8217;s degree in Mathematics (University of Cagliari, Italy). 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