NAPOLETANO PAOLO

Biography

Paolo Napoletano is associate professor of Computer Science at Department of Informatics, Systems and Communication of the University of Milano-Bicocca where he coordinates several research activities in the area of photo sharing and storage service, Internet of Things and Intelligent Vehicles within projects supported by both industry and public institutions. He has got the Italian National Academic Qualification as Full Professor of Computer Engineering (09/H1) in November 2020. He joined the Imaging and Vision Laboratory of the University of Milano-Bicocca in 2012. From 2007 to 2012 he worked as research associate at University of Salerno (Italy) focusing on information retrieval and data mining. In 2007, he received a Doctor of Philosophy degree (PhD) in Information Engineering from the University of Salerno (Italy) with a thesis focused on Computational Vision and Pattern Recognition. In 2003, he received a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, with a thesis focused on Transmission of Electromagnetic Fields. His current research interests focus on signal, image and video analysis and understanding, multimedia information processing and management and machine learning for multi-modal data classification and understanding. He is Associate Editor of the Elsevier Neurocomputing, IET Signal Processing, MDPI Sensors Journal and MDPI Smart Cities Journal.

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Research

Paolo Napoletano is associate professor of Computer Science at Department of Informatics, Systems and Communication of the University of Milano-Bicocca where he coordinates several research activities in the area of photo sharing and storage service, Internet of Things and Intelligent Vehicles within projects supported by both industry and public institutions. He has got the Italian National Academic Qualification as Full Professor of Computer Engineering (09/H1) in November 2020. He joined the Imaging and Vision Laboratory of the University of Milano-Bicocca in 2012. From 2007 to 2012 he worked as research associate at University of Salerno (Italy) focusing on information retrieval and data mining. In 2007, he received a Doctor of Philosophy degree (PhD) in Information Engineering from the University of Salerno (Italy) with a thesis focused on Computational Vision and Pattern Recognition. In 2003, he received a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, with a thesis focused on Transmission of Electromagnetic Fields. His current research interests focus on signal, image and video analysis and understanding, multimedia information processing and management and machine learning for multi-modal data classification and understanding. He is Associate Editor of the Elsevier Neurocomputing, IET Signal Processing, MDPI Sensors Journal and MDPI Smart Cities Journal.

Publications

Napoletano, P., Piccoli, F., & Schettini, R. (2021). Semi-supervised anomaly detection for visual quality inspection. EXPERT SYSTEMS WITH APPLICATIONS, 183(30 November 2021) [10.1016/j.eswa.2021.115275].

Dettaglio
Berto, R., Napoletano, P., & Savi, M. (2021). A LoRa-Based Mesh Network for Peer-to-Peer Long-Range Communication. SENSORS, 21(13), 1-12 [10.3390/s21134314].

Dettaglio
Leonardi, M., Napoletano, P., Schettini, R., & Rozza, A. (2021). No reference, opinion unaware image quality assessment by anomaly detection. SENSORS, 21(3), 1-16 [10.3390/s21030994].

Dettaglio
Amrani, H., Micucci, D., & Napoletano, P. (2021). Personalized Models in Human Activity Recognition Using Deep Learning. In Proceedings of the International Conference on Pattern Recognition (ICPR) (pp.9682-9688). IEEE [10.1109/ICPR48806.2021.9412140].

Dettaglio
Tanoh, I., & Napoletano, P. (2021). A novel 1-d ccanet for ecg classification. APPLIED SCIENCES, 11(6) [10.3390/app11062758].

Dettaglio