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Rita Delussu, University of Sassari
Naser Damer, Fraunhofer IGD
Giorgio Fumera, University of Cagliari
Emanuele Ledda, University of Cagliari
Lorenzo Putzu, University of Cagliari
Fabio Roli, University of Genova
Rita Delussu
Rita Delussu
She is an Assistant Professor at the University of Sassari, Department of Electrical and Electronic Engineering.
Her research focuses on intelligent video surveillance, particularly person re-identification and crowd counting (more details can be found here). She is a member of IEEE and IAPR. She is a reviewer for journals such as Computer Vision and Image Understanding, Expert Systems With Applications, Journal of Intelligent & Fuzzy Systems, Knowledge-Based Systems, Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, and for conferences such as International Conference on Pattern Recognition. She was a PC member at the 12th International Conference on Consumer Electronics (ICCE-Berlin)
Naser Damer
Naser Damer
He is a Senior Researcher with Fraunhofer IGD and a Research Area Co-Coordinator and a Principal Investigator with the National Research Center for Applied Cybersecurity ATHENE, Germany.
He lectures on Human and Identity-Centric Machine Learning with TU Darmstadt, Germany. His main research interests lie in the fields of biometrics and human-centric machine learning. He serves as an Associate Editor for Pattern Recognition (Elsevier), the Visual Computer (Springer), and the IEEE Transactions on Information Forensics and Security. He represents the German Institute for Standardization (DIN) in the ISO/IEC SC37 International Biometrics Standardization Committee. He is a member of the organizing teams of several conferences, workshops, and special sessions, including being the program co-chair of BIOSIG and a member of the IEEE Biometrics Council serving on its Technical Activities Committee.
Giorgio Fumera
Giorgio Fumera
He is an Associate Professor of Computer Engineering at the University of Cagliari.
His research interests are related to statistical pattern recognition and machine learning, including ensemble methods, adversarial machine learning, classification reliability and uncertainty estimation, with applications to computer vision for video surveillance tasks. He published over one hundred papers on these topics in international journals and conferences (more details can be found here). He is associate editor of the Pattern Recognition and Pattern Analysis and Applications journals, and a member of IEEE and IAPR.
Emanuele Ledda
Emanuele Ledda
He is a research collaborator at the "Consorzio Interuniversitario Nazionale per l'Informatica" (CINI), with the University of Cagliari.
He received a BSc Degree in Computer Science, with honors, from the University of Cagliari in September 2019. Then, he received his MSc in Computer Science, with honors, from the University of Cagliari in September 2021. In January 2025, he received his Ph.D. in Artificial Intelligence from the University La Sapienza of Rome. He is the first author of the paper "BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting," which won an \textit{Honorable Mention for the Caianiello ICIAP paper award}.
His research interests include Uncertainty Quantification, Intelligent Video Surveillance, and Adversarial Machine Learning.
Lorenzo Putzu
Lorenzo Putzu
He is an Assistant Professor at the University of Cagliari, Department of Electrical and Electronic Engineering.
Since 2012 he has worked on image processing, computer vision and machine learning. Author of more than 40 scientific papers in peer-reviewed journals and international conference proceedings related to this task. Currently, he is carrying out his research on the interpretation of video surveillance images and biomedical images by exploiting synthetic images (more details can be found here). He is associate editor of the Pattern Analysis and Applications journal, edited by Springer, and guest-editor of the special issue "Synthetic Images to Support Computer-Aided Diagnosis Systems" in Pattern Recognition Letters journal, edited by Elsevier. He guest-edited different special issues related to medical image support systems edited by MDPI and guest-edited the MDPI Topic "Medical Image Analysis" (with more than 100 published papers) and organised and chaired the 1st and 2nd Workshop AIRCAD (Artificial Intelligence and Radiomics in Computer-Aided Diagnosis), held in conjunction with ICIAP (International Conference on Image Analysis and Processing) 2021 and 2023, respectively. He is a member of IEEE and IAPR.
Fabio Roli
Fabio Roli
He is a Full Professor of Computer Engineering at the University of Genova, Italy, and Founding Director of the Pattern Recognition and Applications Laboratory PRA Lab at the University of Cagliari.
He is a partner of the company Pluribus One, which he co-founded. He has been doing research on the design of pattern recognition and machine learning systems for thirty years. He has provided seminal contributions to the fields of multiple classifier systems and adversarial machine learning (more details can be found here), and he has played a leading role in the establishment and advancement of these research themes; in particular, he co-chaired the Series of International Workshops on Multiple Classifier Systems (MCS) since 2000 to 2015. He has been appointed Fellow of the IEEE and Fellow of the International Association for Pattern Recognition. He is a recipient of the Pierre Devijver Award for his contributions to statistical pattern recognition.
Contacts
Rita Delussu <rdelussu@uniss.it>
Naser Damer <naser.damer@igd.fraunhofer.de>
Giorgio Fumera <fumera@unica.it>
Emanuele Ledda <emanuele.ledda@unica.it>
Lorenzo Putzu <lorenzo.putzu@unica.it>
Fabio Roli <fabio.roli@unige.it>
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