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Name: Luigi
Surname: Gallo
Date of birth: 08/04/1976
Role: Senior Researcher
Identification Number: 14553
Phone: +39 081 6139509
Location: Napoli
Cell phone: +39 366 6298661
Fax: +39 081 6139531

Short bio and research interests:

Luigi Gallo is a Senior Research Scientist at the National Research Council of Italy (CNR), Institute for High-Performance Computing and Networking (ICAR). He is a Faculty Board Member of the PhD course on “Humanities and Technologies” of the University of Macerata. Between 2012 and 2018, he was an Adjunct Professor of Informatics at the University of Naples “Federico II”.
He has received a Laurea degree in Computer Engineering (cum laude) from the University of Naples “Federico II” and a PhD degree in Information Technology Engineering at the University of Naples “Parthenope”.
He holds leadership roles within funded research projects (EU H2020, ESA, Italian) in the fields of ICT for health and cultural heritage applications. Currently, he is in the coordination group, and Principal Investigator for the CNR, of the EU H2020 project SMART BEAR, coordinator for the CNR of the national projects REMIAM, PAUN and e-Brewery. Previously, he was the coordinator of the SNECS project.
He is an Associate Editor of the Pattern Recognition Letters journal (Elsevier) and of the Heritage journal (MDPI), and a member of the Steering Committee of the IEEE SITIS conference. He also serves on program committees of several international conferences and workshops.
His research interest includes computer vision, pattern recognition, natural user interfaces and human interface aspects of virtual and augmented reality. He is author of about 80 scientific papers published in international journals, conference proceedings and books.
He is a member of ACM (Association for Computing Machinery), SIGCHI (Special Interest Group on Computer-Human Interaction), KES (Knowledge-Based Intelligent Information & Engineering Systems), CVPL (Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning) and IAPR (International Association for Pattern Recognition) international associations.

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