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Fabio Gallo is a distinguished Full Professor of Computer Engineering at the Department of Information Engineering (DII) of the University of Pisa. He serves as the Director of the CrossLab, an interdisciplinary laboratory focused on fostering innovation and technology transfer in areas such as Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Cybersecurity, and Human-Computer Interaction. His research interests are deeply rooted in these domains, and he is actively involved in numerous national and international research projects, often in collaboration with industry partners. Professor Gallo is committed to advancing cutting-edge technologies and educating the next generation of engineers and researchers.
Fabio Gallo's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads CrossLab, a significant interdisciplinary laboratory at the University of Pisa, promoting innovation and collaboration between academia and industry in cutting-edge technological fields like IoT, AI, and Big Data.
Holds the esteemed position of Full Professor at the University of Pisa, contributing to research, teaching, and academic leadership within the Department of Information Engineering.
Successfully secured and led multiple national and international research projects, often funded by the European Union and other prestigious bodies, driving advancements in computer engineering and related fields.
Has an extensive publication record in high-impact international journals and conference proceedings, contributing significantly to the body of knowledge in his areas of expertise.
Sapienza Università di Roma - Year 1977
Liceo Italiano Leonardo da Vinci, Paris - Year 1976
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AI4IV (Artificial Intelligence for Intelligent Vehicles) is a technology company specializing in AI-powered software solutions for the automotive industry. They focus on developing advanced perception systems for Advanced Driver-Assistance Systems (ADAS) and Autonomous Driving (AD). Their core mission is to enhance vehicle safety and enable higher levels of driving automation by providing robust and reliable environmental understanding through sophisticated AI algorithms and sensor fusion techniques.
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