Lorenzo Putzu

PhD, Assistant Professor at PRA Lab.

Lorenzo Putzu received the BS degree, the MS degree and the PhD in Computer Science from the University of Cagliari, in 2010, 2012 and 2016, respectively. Since 2012 his research interest focuses on the image and video analysis and processing task, mainly medical images in order to provide tools for automatic or semi-automatic diagnosis as a support for medical activities. Since 2017 he is a member of the Computer Vision unit of the PRA Lab, Pattern Recognition and Applications Lab, belonging to the Department of Electrical and Electronic Engineering of the University of Cagliari for which he mainly deals with the analysis of images and videos for video surveillance activities. On the above-mentioned tasks, he has published more than twenty articles in international journals and conference proceedings. He has also participated in several national and international research projects funded, including projects funded by the EU, European Space Agency (ESA) and by the Autonomous Region of Sardinia. He is currently responsible for three WPs of a project funded by the ESA related to image analysis methods to support law enforcement in the field of video surveillance.

From 2017 to 2020 he was Lecturer of Image Processing for the Bachelor's Degree in Medical Radiology Techniques for Images and Radiotherapy of the Faculty of Medicine and Surgery. In the academic year 2020/21 he was Lecturer of Programming 1 (laboratory module) for the Bachelor's Degree in Computer Science of the Faculty of Sciences. From 2020 to the present date he is a Lecturer of Computer Science Laboratory for the Master's Degree course of Environmental and Territorial Engineering of the Faculty of Engineering and Architecture.

He is currently a member of the Institute of Electrical and Electronics Engineers (IEEE) and of the Italian Association for Research in Computer Vision, Pattern Recognition and Machine Learning (CVPL), the Italian section of the International Association for Pattern Recognition (IAPR). He is part of the editorial board of the Medical Image Processing topic published on MDPI aimed at medical image analysis which includes publications in 5 international journals: Applied Sciences, Journal of Imaging, Electronics, Diagnostics, Biomedicines. He participates as co-editor in two Special Issues published on MDPI entitled Image Processing Techniques for Biomedical Applications II and Computer Aided Diagnosis, both aimed at the analysis of biomedical images.

Research Interests: Content-based image retrieval