{"id":68,"date":"2014-09-30T21:23:48","date_gmt":"2014-09-30T19:23:48","guid":{"rendered":"https:\/\/ricerca.di.unipi.it\/research-groups-and-labs-websites\/"},"modified":"2025-07-16T17:45:41","modified_gmt":"2025-07-16T15:45:41","slug":"research-groups-and-labs-websites","status":"publish","type":"page","link":"https:\/\/ricerca.di.unipi.it\/en\/research-groups-and-labs-websites\/","title":{"rendered":"Research groups and labs websites"},"content":{"rendered":"

The coordination of the research activities of the members of the Department is supported by the free formation of research groups<\/a>, which typically bring together established skills in specific areas, and by departmental laboratories<\/a>, which are organizational structures independent of the research groups and defined in the Strategic Plan of the Department. A laboratory may involve expertise and personnel from multiple research groups, and each group can contribute to several\u00a0 laboratories.<\/p>\n

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Departmental Laboratories<\/h3>\n
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\"Artificial<\/a><\/td>\n\"BioMedical<\/a><\/td>\n\"ComMa<\/a><\/td>\n\"Foundations<\/a><\/td>\n\"Next<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

The laboratories have a lean and flexible organization that facilitates the inclusion of individuals within communities with wide-ranging skills. Their purpose is to bring together the knowledge and scientific and technological skills of individual researchers in order to carry out cutting-edge, ambitious, and innovative research.<\/p>\n

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\"Artificial<\/td>\nKeywords: Machine Learning; Deep Learning; Trustworthy AI; Algorithms for Big Data; Human Language Technologies; Data Intelligence and Applications<\/em>.<\/td>\n<\/tr>\n
Website:<\/strong> in preparation.<\/td>\nContact:<\/strong> Salvatore Ruggieri<\/a>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
The lab conducts research on all aspects of the information chain for big data analytics, data mining, machine learning and pattern recognition, human language technologies, and trustworthy AI. The lab is committed in a wide range of business-driven and social-good applications, as well as in technology-transfer and in teaching at graduate, master, and PhD level.<\/div>\n<\/div>\n
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\"BioMedical<\/td>\nKeywords: Bioinformatics, Systems Biology, Computational Health, Machine Learning & Data Science for Health, Health Services Optimitazion, IoT and Smart Things for e-Health<\/em>.<\/td>\n<\/tr>\n
Website:<\/strong> BioMedInfo<\/a>.<\/td>\nContact:<\/strong> Paolo Milazzo<\/a>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
The Laboratory of Biomedical and Health Informatics is a network of research groups and individual researchers of the Department of Computer Science aimed at fostering the collaboration among experts in different Computer Science disciplines and methodologies through research projects with applications in Biology, Medicine and Health.<\/div>\n<\/div>\n
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\"ComMa<\/td>\nKeywords: Optimization and operations research; Numerical linear algebra; Applications to machine learning; Combinatorial algorithms on graphs<\/em>.<\/td>\n<\/tr>\n
Website:<\/strong> ComMa<\/a>.<\/td>\nContact:<\/strong> A. Frangioni<\/a>, F. Poloni<\/a>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
The ComMa Lab brings together researchers from the Department of Computer Science who work in various fields of computational mathematics, such as optimization, mathematical programming, game theory, network flows, numerical linear algebra, with emphasis on multidisciplinary aspects. The theoretical and methodological results achieved are used to solve real-world problems in a wide range of domains, such as logistics, transport, health, energy, cloud computing, telecommunications, network theory, and artificial intelligence.<\/div>\n<\/div>\n
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\"Foundations<\/td>\nKeywords: Programming Language Design, Program Analysis and Verification, Computational Models, Algorithmic Design and Analysis<\/em>.<\/td>\n<\/tr>\n
Website:<\/strong> FLab (under construction).<\/td>\nContact:<\/strong> Gian Luigi Ferrari<\/a>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
Computer science has a dual nature: it is both an experimental science and a basic science concerned with core fundamental concepts. Research at the Foundation Lab covers a broad range of theoretically significant topics, whose insights are inherently essential to practical applications.<\/div>\n<\/div>\n
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\"Next<\/td>\nKeywords: Internet of Things, Cloud Applications, Healthcare, Software Engineering, Cybersecurity<\/em>.<\/td>\n<\/tr>\n
Website:<\/strong> in preparation.<\/td>\nContact:<\/strong> Antonio Brogi<\/a>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
Computing and communication infrastructures are evolving into a continuum spanning from the Cloud to the IoT, consisting of thousands of distributed heterogenous devices that rely on different software and hardware technologies.
\nThe research in the lab address a variety of applications, ranging from high-performance computing and Cloud\/Fog\/Edge computing, to digital security and smart cyber-physical systems tackling fundamental challenges such as security and energy consumption.<\/div>\n<\/div>\n
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Research Groups<\/h3>\n

Research groups are structures that promote collaborations among researchers within well-established research areas, with the goal of achieving excellent results.<\/p>\n