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.<\/p>\n","protected":false},"featured_media":11074,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-14965","projects","type-projects","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"Piattaforma avanzata per analisi massive e medicina digitale","acronym":"PAM","project_uuid":"aa345619-b8c4-11ef-a6ce-005056a5f278","start_date":"01\/03\/2021","end_date":"28\/02\/2023","funder":"RAS","partners":"","proj_website":"","project_image_header":false,"project_status":"Completed","project_coordinator":[{"ID":10233,"post_author":"4","post_date":"2025-06-30 17:23:13","post_date_gmt":"2025-06-30 15:23:13","post_content":"Enrico Gobbetti is the director of Visual and Data-intensive Computing (ViDiC) at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Italy. He holds an Engineering degree (1989) and a Ph.D. degree (1993) in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), as well as Full Professor Habilitations in Computer Science and Information Processing from the Italian Ministry of University and Research. Prior to joining CRS4, he held research and\/or teaching positions at the Swiss Federal Institute of Technology in Lausanne, the University of Maryland Baltimore County (UMBC), Baltimore MD, USA, and the Center of Excellence in Space Data and Information Sciences (NASA\/CESDIS), NASA Goddard Space Flight Center, Greenbelt MD, USA. At CRS4, Enrico develops and manages a research program in visual and data-intensive computing supported through institutional, industrial and government grants, including many national and international projects. His research spans many areas of visual and data-intensive computing and is widely published in major journals and conferences. The primary focus is the study and creation of innovative, intelligent, and scalable solutions for acquiring, creating, processing, distributing, exploring, and analyzing complex and\/or massive datasets derived from simulations or measurements of phenomena, objects, environments, or real-world processes. He regularly serves the scientific community through participation in editorial boards, program committees, working groups and steering boards, as well as through the organization and chairing of conferences. He is a Fellow of Eurographics.","post_title":"Enrico Gobbetti","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"enrico-gobbetti","to_ping":"","pinged":"","post_modified":"2026-04-09 12:11:23","post_modified_gmt":"2026-04-09 10:11:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/enrico-gobbetti\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":10141,"post_author":"4","post_date":"2025-06-30 17:22:03","post_date_gmt":"2025-06-30 15:22:03","post_content":"Fabio Bettio is an electronics engineer, software developer, and technologist specializing in visual computing and scientific visualization. He has strong expertise in GPU-accelerated and web-based rendering, with a solid background in C++, OpenGL\/WebGL, GLSL, and WebXR development. He is a contributor to OpenLIME, an open-source platform for interactive visualization and relightable model rendering in scientific and cultural heritage contexts. In addition to software development, he has extensive experience as a Linux system and HPC cluster administrator. He has developed tools for system and UPS monitoring, implemented automated backup solutions, and manages web infrastructures based on CMSs for research initiatives and international conferences such as Eurographics and EuroVis. His scientific contributions have been published in top-tier journals such as ACM Journal on Computing and Cultural Heritage (JOCCH), Computers & Graphics, IEEE Transactions on Visualization and Computer Graphics (TVCG), and Solar Energy. His work has also been presented at renowned international conferences, including Eurographics, EuroVis, ISMAR, and Digital Heritage.","post_title":"Fabio Bettio","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fabio-bettio","to_ping":"","pinged":"","post_modified":"2026-04-09 12:10:12","post_modified_gmt":"2026-04-09 10:10:12","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/fabio-bettio\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10226,"post_author":"4","post_date":"2025-06-30 17:23:05","post_date_gmt":"2025-06-30 15:23:05","post_content":"Francesca coordinates the digital health research activities on the Visual and Data-intensive Computing Sector at CRS4 (prev. Research Programs Digital Health\/Healthcare Flows). Her research activity spans the opportunities and problems arising from the application of computer science to medicine, working on interoperability, traceability, telemedicine and modelling of data and processes in the clinical context. In her 20 years of research experience she has cultivated ongoing collaborations with public and private organisations, including research institutions, hospitals and industries operating in the health IT sector, with particular attention to the direct application of research results in clinical practice. She holds a Ph.D. in Innovation Sciences and Technologies from the University of Cagliari and a degree in Biomedical Engineering from the University of Genoa. Her present research interests are mainly focused on the modelling of biomedical data and processes, with a particular attention to interoperability and traceability, also in the perspective of the application of the FAIR Principles. In particular, she is currently working: on an integration profile about specimen tracking (SET profile), with the IHE PaLM Technical committee; on the modelling of genetic data through the openEHR formalism, with openEHR International; and a standard under development about provenance information in the biotechnology domain (Standard ISO 23494, ISO Technical Committee 276), with BBMRI-ERIC, the European research infrastructure for biobanking.","post_title":"Francesca Frexia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"francesca-frexia","to_ping":"","pinged":"","post_modified":"2026-04-09 12:11:14","post_modified_gmt":"2026-04-09 10:11:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/francesca-frexia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10228,"post_author":"4","post_date":"2025-06-30 17:23:07","post_date_gmt":"2025-06-30 15:23:07","post_content":"Massimo Gaggero received his B.Sc. in Electronic Engineering in 2006 from the University of Cagliari, Italy, with a thesis on the use of the FPGA accelerators of the Cray supercomputer XD1 for the parallelization of digital filtering algorithms. In 2000 he started working at CRS4 dealing with networks, systems and distributed computing. In 2007, as Expert Software Engineer of the Advanced Computing group, he deals with distributed deployment systems on a geographical scale of virtual computing clusters. In 2008 he participated in the Research Assistantship Program at the NURC, NATO Undersea Research Center, where he carried out analysis and design of distributed sensors for underwater acoustic networks and Delay-Tolerant \/ Disruption-Tollerant architectures for maritime applications. He is currently Senior Technologist at the Data-intensive Computing Program where he deals with telemetry of industrial processes, clinical devices, IoT and applications for Smart Cities.","post_title":"Massimo Gaggero","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"massimo-gaggero","to_ping":"","pinged":"","post_modified":"2026-04-09 12:11:17","post_modified_gmt":"2026-04-09 10:11:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/massimo-gaggero\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10283,"post_author":"4","post_date":"2025-06-30 17:24:15","post_date_gmt":"2025-06-30 15:24:15","post_content":"Fabio Marton is a researcher in the Visual Computing (ViC) group at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4). He holds a Laurea (M. Sc.) degree (1999) in Computer Engineering from the University of Padova. His current research interests include out-of-core data processing, compression multiresolution modeling and time-critical rendering. He has participated as a key developer in industrial and research projects that have led to the development of state-of-the-art tools for large scale model rendering. He has co-authored papers in major international refereed journals and conferences, including SIGGRAPH, Eurographics, and IEEE Visualization. He has been EGPGV (Eurographics Symposium on Parallel Graphics) symposium chair (Cagliari, 2012) and paper co-chair (Girona, 2013). He is IPC member for Web3D from 2011. He serves as reviewer for international computer graphics journals and conferences. Before joining CRS4, he worked on 3D scanning at LMTT Padova and Optonet Brescia.","post_title":"Fabio Marton","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fabio-marton","to_ping":"","pinged":"","post_modified":"2026-04-09 12:12:12","post_modified_gmt":"2026-04-09 10:12:12","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/fabio-marton\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9986,"post_author":"4","post_date":"2025-06-30 17:26:23","post_date_gmt":"2025-06-30 15:26:23","post_content":"Graduated in Electronic Engineering at the University of Cagliari in 2003, Alessandro Sulis successively took a II level Master in Information Technology, at the Center of Excellence CEFRIEL in Milan. He has a decade of experience in interoperability between clinical systems according to the main standards and best practices and actively collaborates with international reference organizations (IHE and HL7 International). In particular, since 2013 he has been Monitor at the IHE European Connectathon and since 2021 he has been Co-Chair of the Technical Committee of the IHE PaLM (Pathology and Laboratory Medicine) domain, where he is also the main editor of the SET Profile (Specimen Event Tracking), for sample traceability. His current research interests include the study and promotion of FAIR principles, in the context of projects related to FAIRification of data and metadata in the clinical domain.","post_title":"Alessandro Sulis","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"alessandro-sulis","to_ping":"","pinged":"","post_modified":"2026-04-09 12:14:08","post_modified_gmt":"2026-04-09 10:14:08","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/alessandro-sulis\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9699,"post_author":"4","post_date":"2025-06-30 17:26:44","post_date_gmt":"2025-06-30 15:26:44","post_content":"","post_title":"Antonio Zorcolo","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"antonio-zorcolo","to_ping":"","pinged":"","post_modified":"2026-04-09 12:14:23","post_modified_gmt":"2026-04-09 10:14:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/antonio-zorcolo\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10210,"post_author":"4","post_date":"2025-06-30 17:22:45","post_date_gmt":"2025-06-30 15:22:45","post_content":"Giovanni Delussu is a researcher in the \"Digital Health\" area which belongs to the \"Visual and Data-Intensive Computing\" research Program. He holds a Laurea (MSc) degree in Aeronautical Engineering from the \"Politecnico di Torino\" (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 \"Big Data\" 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'Industrie Minerale, Morocco with a thesis in the field of Biomedical Informatics. Main interests:surfing, tennis","post_title":"Giovanni Delussu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"giovanni-delussu","to_ping":"","pinged":"","post_modified":"2026-04-09 12:10:57","post_modified_gmt":"2026-04-09 10:10:57","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/giovanni-delussu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10208,"post_author":"4","post_date":"2025-06-30 17:22:43","post_date_gmt":"2025-06-30 15:22:43","post_content":"Mauro Del Rio received the M.Sc. degree in Electronic Engineering from the University of Cagliari in 2005. In 2006 he joined the Digital Media Applications group at CRS4. Here he took part to the development of tools and applications for managing multimedia files. Since 2013 he has been working with the Digital Health group. He deals with Telemedicine and distributed computing of clinical data.","post_title":"Mauro Del Rio","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"mauro-del-rio","to_ping":"","pinged":"","post_modified":"2026-04-09 12:10:55","post_modified_gmt":"2026-04-09 10:10:55","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/mauro-del-rio\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10066,"post_author":"4","post_date":"2025-06-30 17:25:33","post_date_gmt":"2025-06-30 15:25:33","post_content":"Luca Pireddu earned his degree in Computing Science in 2003 from Laurentian University in Sudbury, Canada. Here he also started his research work joining MIRARCO in 2002, where he completed his undergraduate thesis on computational methods to optimize underground mine plans. He later pursued graduate studies at the University of Alberta, Canada, receiving his M.Sc. in Computing Science in 2006 with a thesis on predicting biological pathways by proteome analysis - a project that he continued as a researcher at U. of A. after his studies. After a stint in the private sector, Luca joined CRS4, where he currently works with the Visual and Data-Intensive Computing group. He has coordinated CRS4's participation in several EU, national and regional research projects in the area of novel development and application of data processing, analysis and management techniques to concrete problems in several fields of interest - particularly, bioinformatics, biomedical research and urban computing. He is particularly interested in techniques for facilitating scalability of complex computational scientific workflows, secure and scalable methods to leverage sensitive data collections, and data and workflow re-use through the application of FAIR principles. He represents CRS4 at the Italian nodes of the BBMRI-ERIC and ELIXIR EU Research Infrastructures and at the Data, AI and Robotics (DAIRO) Association (ex BDVA).","post_title":"Luca Pireddu","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-pireddu","to_ping":"","pinged":"","post_modified":"2026-04-09 12:13:21","post_modified_gmt":"2026-04-09 10:13:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-pireddu\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10077,"post_author":"4","post_date":"2025-06-30 17:25:26","post_date_gmt":"2025-06-30 15:25:26","post_content":"Ruggero Pintus studied Electronic Engineering at the University of Cagliari in Italy,where he received his master's degree in April 2003. In 2004, he started working as a researcher at the Department of Electrical and Electronic Engineering (DIEE). He received the Ph.D. degree in Electronic and Computer Engineering in 2007, working on Computer Vision algorithms and software applied to Scanning Electron Microscope. He also supported didactic activities. In the same year, he was awarded with an Italian Government Grant, and he worked as a visiting researcher in the Multimedia Communications and Networking Lab at the Hewlett-Packard Laboratories, California, US. His research focused on photometric stereo techniques applied to conventional flatbed scanners. Since November 2007 he has been part of the Visual Computing group of CRS4 (Center for Advanced Studies, Research and Development in Sardinia). His research interests have shifted towards Computer Graphics topics. In particular, the primary focus is the development of algorithms for acquisition, out-of-core processing, time-critical rendering and 3D printing of massive models, mostly applied to large scale color and geometry Cultural Heritage datasets. In 2013 he worked as a Postdoctoral Associate Research Scientist in the Computer Graphics Group at the Yale University. His research focused on 3D model scanning and processing, and on multispectral imaging acquisition and document layout analysis techniques applied to historical, handwritten medieval manuscripts.","post_title":"Ruggero Pintus","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ruggero-pintus","to_ping":"","pinged":"","post_modified":"2026-04-09 12:13:15","post_modified_gmt":"2026-04-09 10:13:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/ruggero-pintus\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10164,"post_author":"4","post_date":"2025-06-30 17:22:14","post_date_gmt":"2025-06-30 15:22:14","post_content":"Giovanni Busonera received his M.Sc. in Electronic Engineering from the University of Cagliari in 2004 and the Ph.D. in Electronic Engineering and Computer Science from the same University in 2008. Since 2008 he works at CRS4 as a researcher. His research interests concerned mainly virtualization, distributed programming and hardware acceleration for parallel computing by using GPGPU and FPGA devices. Before joining CRS4, he worked in the Microsoft Research Embedded Group in Redmond developing eBug, a software debugging support for the dynamically reconfigurable processor eMIPS. He also worked on the development of a haplotyping algorithm to perform multi-marker genome wide association study (GWAS). Currently his work deals with signal processing and data analysis for biomedical applications and statistical methods for network traffic modeling.","post_title":"Giovanni Busonera","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"giovanni-busonera","to_ping":"","pinged":"","post_modified":"2026-04-09 12:10:23","post_modified_gmt":"2026-04-09 10:10:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/giovanni-busonera\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10259,"post_author":"4","post_date":"2025-06-30 17:23:44","post_date_gmt":"2025-06-30 15:23:44","post_content":"After graduating in Computer Science at the University of Cagliari in 2006, he joined the Digital Health group of CRS4, directing his research activity to the application of ICT in the clinical and biomedical fields, mainly in the areas of telemedicine, interoperability between clinical systems and creation of systems for the treatment of large amounts of biomedical data. His current research interests are focused on the management of complex and heterogeneous clinical data with open standard formats (such as openEHR and HL7-FHIR) and on Digital Pathology. In this area in particular, he has designed and implemented the CRS4 Digital Pathology platform to support diagnosis from digitized slides, collaborating with leading clinical institutions such as the Karolinska Institutet in Stockholm and the COREP consortium. The platform allows to handle, view and annotate scanned images, and it is the core of several use cases in the context of international research projects, focused on remote training (CyTest), clinical trials (ProMort Study) and Artificial Intelligence models' development from annotated images (DeepHealth).","post_title":"Luca Lianas","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"luca-lianas","to_ping":"","pinged":"","post_modified":"2026-04-09 12:11:47","post_modified_gmt":"2026-04-09 10:11:47","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/luca-lianas\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10128,"post_author":"4","post_date":"2025-06-30 17:21:58","post_date_gmt":"2025-06-30 15:21:58","post_content":"I am a Bioinformatician and Software Engineer with extensive experience in research.Since 2011, I have developed strong expertise in managing large-scale genomic and biological data from an NGS Core facility, integrating clinical and experimental data, tracking samples and data provenance, and ensuring the reproducibility and portability of analysis workflows.My skills range from programming to project planning, covering scripting, web services, and databases. I have a strong aptitude for problem-solving and teamwork.I earned my master's degree in Physics at the University of Cagliari in 2004. More recently, I obtained a Ph.D. with a thesis titled \"Analysis of somatic mutations in oncology liquid biopsies: the effectiveness of a data-driven approach.\"Currently, I am a Researcher in Bioinformatics at the Department of Biosciences of CRS4 (Center for Advanced Studies, Research and Development in Sardinia). My work focuses on the integration, traceability, interpretation, and intensive analysis of massive and heterogeneous biological data.As part of the Data Engineer & Computing team, I contributed to the development of CRS4's data-intensive computing infrastructure, which integrates computing and storage resources with the CRS4 Next Generation Sequencing Core. This infrastructure provides traceable automation and seamless management and analysis of sequencing data.","post_title":"Rossano Atzeni","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"rossano-atzeni","to_ping":"","pinged":"","post_modified":"2026-04-09 12:10:05","post_modified_gmt":"2026-04-09 10:10:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/rossano-atzeni\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10206,"post_author":"4","post_date":"2025-06-30 17:22:41","post_date_gmt":"2025-06-30 15:22:41","post_content":"Roberto Cusano, responsible of NGS sequencing platform, works at the CRS4 since 2009 where he has specialized inNext Generation Sequencing. After graduating in Biotechnology at the University of Genoa, he worked in various public research centers and hospital institutions in Italy where he acquired vast experience (30 years) in biotechnology applied to research and diagnostics in the fields of molecular biology, rare diseases, oncology and transplantation genetics. Since his early working years he has specialized in techniques for manipulating and analyzing nucleic acids, in particular for genetic mapping and sequencing. The acquired skills are used both in the development of methods applied to diagnostics and research, and in providing scientific support and services to the scientific community. He is the author of 78 publications in international scientific journals subject to editorial control and with an H-index of 35","post_title":"Roberto Cusano","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"roberto-cusano","to_ping":"","pinged":"","post_modified":"2026-04-09 12:10:52","post_modified_gmt":"2026-04-09 10:10:52","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/roberto-cusano\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10285,"post_author":"4","post_date":"2025-06-30 17:24:17","post_date_gmt":"2025-06-30 15:24:17","post_content":"Cecilia Mascia got her master's degree in Biomedical Engineering in 2013 at the Polytechnic of Turin, with a thesis focused on the evaluation of a telemedicine system developed during an internship at the Digital Health group of the CRS4. In 2015 she collaborated with the Department of Mechanical, Chemical and Materials Engineering of the University of Cagliari in a research project on the analysis, modelling and re-engineering of processes related to the drug supply chain in a private hospital. She joined the DH group in 2014, mainly involved in clinical data modelling activities according to international specifications (openEHR, in particular, and HL7 CDA) for EHR interoperability purposes. She is currently working with the BBMRI-ERIC consortium to draft a proposal of a provenance information model for the biotechnology domain (ISO TC 276) and with the OpenEHR consortium for the definition of genomic data models.","post_title":"Cecilia Mascia","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"cecilia-mascia","to_ping":"","pinged":"","post_modified":"2026-04-09 12:12:15","post_modified_gmt":"2026-04-09 10:12:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/cecilia-mascia\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9959,"post_author":"4","post_date":"2025-06-30 17:26:39","post_date_gmt":"2025-06-30 15:26:39","post_content":"I'm a computer scientist and my areas of expertise are HPC, bigdataprocessing and machine learning, with scalability as a common thread.I have a background on parallel computing and foundational problemsmotivated by HPC, which I investigated during my PhD and during myyears as a PostDoc in Vienna.In the latest years I have worked, at the CRS4 research center, tobuild efficient and scalable bigdata and machine learning workflows. Ihave worked with streams of genomic and industrial data (using ApacheKafka and Flink as tools) and, within the DeepHealth European project,to the classification of gigapixel medical images, using bothTensorflow and the specialized EDDL ML library. In this context I havea built a scalable pipeline to efficiently manage datasets via the useof Apache Spark and Cassandra.","post_title":"Francesco Versaci","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"francesco-versaci","to_ping":"","pinged":"","post_modified":"2026-04-09 12:14:21","post_modified_gmt":"2026-04-09 10:14:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/francesco-versaci\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"\n