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Rita Delussu, University of Sassari
Naser Damer, Fraunhofer IGD
Lorenzo Putzu, University of Cagliari
Joachim Rüter, German Aerospace Center (DLR)
Ana Sequeira, INESC TEC - Institute for Systems and Computer Engineering, Technology and Science
Rita Delussu
Rita Delussu
She is an Assistant Professor at the University of Sassari, Department of 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).
She organized and chaired two editions of the V3SC Workshop, held at Winter Conference on Applications of Computer Vision (WACV) 2025 and International Conference on Image Analysis and Processing (ICIAP) 2025, and currently serves as Executive Guest Editor of a Special Issue.
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.
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.
Joachim Rüter
Joachim Rüter
He is a Research Scientist at the German Aerospace Center (DLR), Institute of Flight Systems.
His research focuses on environment perception for unmanned aircraft using deep learning methods. A special interest lies in the use of synthetic data to train deep learning models and in bridging the gap between simulation and real-world deployment (more details can be found here). He has been reviewing submissions for multiple conferences and journals and has been session chair at the AI4Aerospace workshop.
Ana F. Sequeira
Ana F. Sequeira
She is an Assistant Researcher and Research Area Coordinator at INESCTEC as well as an Invited Assistant Professor at the Faculty of Engineering of the University of Porto. Additionally, she is the Leader of the Commission for Diversity and Inclusion of INESCTEC.
Sequeira research focusses on computer vision and machine learning for developing decision support tools in areas comprising biometrics; anti-spoofing; facial analysis; explainability of AI for biometrics; among other related topics. She regularly contribute to peer review collaborating with several Journal & Conferences. Sequeira has been involved in the research community organizing biometric competitions (MobBIO2013, MobILive2014, CrossEyed2016 & 2017), constructing benchmark datasets (MobBIO Multimodal and MobBIOfake databases; the dual spectrum ocular database, Cross-Eyed; and the PROTECT Multimodal DB) and through the organization of scientific events (xai4Biometrics Workshops, visum, INVICTA School).
Contacts
Rita Delussu <rdelussu@uniss.it>
Naser Damer <naser.damer@igd.fraunhofer.de>
Lorenzo Putzu <lorenzo.putzu@unica.it>
Joachim Rüter <joachim.rueter@dlr.de>
Ana F. Sequeira <ana.f.sequeira@inesctec.pt>
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