Luigi Gallo is a Professor and the Director of the Research Center for Computer Vision and eXtended Reality (xRAI) at Pegaso University, and an Associate Researcher at the National Research Council of Italy (CNR), Institute for High-Performance Computing and Networking (ICAR).
Previously, he served as a Senior Research Scientist at the National Research Council of Italy – Institute for High-Performance Computing and Networking, where he led the Augmented Human-Computer Interaction (AHCI) research group. He has been also a Faculty Board Member of the PhD course on “Humanities and Technologies” at the University of Macerata and the PhD course on “Technology Applied to Cultural Heritage” at the University of Calabria. Between 2012 and 2018, he was an Adjunct Professor of Informatics at the University of Naples “Federico II”.
He holds a Laurea degree in Computer Engineering (cum laude) from the University of Naples “Federico II” and a PhD degree in Information Technology Engineering from the University of Naples “Parthenope”.
His research interests include computer vision, pattern recognition, natural user interfaces, and the human interface aspects of extended reality. He has authored more than 130 scientific papers published in international journals, conference proceedings, and books.
Luigi Gallo has held leadership roles in various funded research projects (EU H2020, ESA, Italian) in the fields of ICT for health and cultural heritage applications. Currently, he is the co-principal investigator of the EU H2020 project SMART BEAR – https://www.smart-bear.eu/.
He is an Associate Editor of the Pattern Recognition Letters journal (Elsevier) and the Heritage journal (MDPI), and a member of the Steering Committee of the IEEE SITIS and of the XR Salento international conferences. Additionally, he serves on the program committees of several international conferences and workshops.
Luigi Gallo 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).