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 2017 he has been 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 and from October 2021 holds the position of Assistant Professor.
His main area of expertise is studying and developing pattern recognition techniques and their application to image and video processing and analysis. In particular, his contributions are in the fields of: people's health, mainly medical image analysis to provide tools for automatic or semiautomatic diagnosis as a support for medical activity; people safety and security, mainly image and video analysis from video surveillance cameras. He also contributes to research in the fields of analysis and cataloguing of textures and systems for cataloguing and retrieval (content-based image retrieval) of images of objects or scenes also using relevance feedback techniques. He has published more than 30 papers on these topics in international journals and conference proceedings (the full list of publications is available here).
These topics have been investigated and applied in several research projects funded by national and international institutions (including EU-funded projects) and by the Autonomous Region of Sardinia. Among them:
- DENIS, Dataspaces Enhancing the Next Internet in Sardinia (2013-2015), founded by Regione Autonoma della Sardegna (Project CRP-17615)
- Natura 2000 (2015-2017), founded by Regione Autonoma della Sardegna
- BS2R, Beyond Social Semantic Recommendation (2016-2019), together with Consulthink SpA company and CRS4 and founded by Regione Autonoma della Sardegna
- LetsCrowd, Law Enforcement agencies human factor methods and Toolkit for the Security and protection of CROWDs in mass gatherings (2017-2019), together with ETRA Investigación y Desarrollo company and other international partners, and founded by European Union
- HistoDSSP, Histocytopathological Decision Support Systems for Pathology (2018-2020), together with SmartPath Srl company and founded by Regione Autonoma della Sardegna
- IMMAGINA, IMaging MAnagement Guidelines and Informatics Network for law enforcement Agencies (2020-2022), together with Regola Srl and other national partners, and founded by European Space Agency (ARTES Integrated Applications Promotion Programme), with the role of responsible of 3 WP
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 a member of the program committee in a number of conferences in the field of pattern recognition and its applications. He regularly acts as a reviewer for numerous international journals, including Artificial Intelligence in Medicine (Elsevier), Pattern Recognition (Elsevier), Transaction on Image Processing (IEEE) and Transaction on Medical Imaging (IEEE). He is part of the editorial board of the Medical Image Analysis topic (with more than 100 articles) edited by MDPI aimed at medical image analysis, including publications in 5 international journals: Applied Sciences, Journal of Imaging, Electronics, Diagnostics, Biomedicines. He participates as co-editor in two Special Issues edited by MDPI entitled Image Processing Techniques for Biomedical Applications and Computer Aided Diagnosis, both aimed at the analysis of biomedical images. He is also a member of the editorial board of the international journal Computational Intelligence and Neuroscience (Hindawi). He co-organised and co-chaired the first edition of the Workshop AIRCAD (1st International Workshop on Artificial Intelligence and Radiomics in Computer-Aided Diagnosis), held in conjunction with ICIAP 2022 (21st International Conference on Image Analysis and Processing) scheduled in Lecce, May 2022
From 2016/17 to 2018/19 academic years, he was a lecturer of Image Processing for the BS degree in Medical Radiology Imaging and Radiotherapy Techniques of the Faculty of Medicine. In the 2020/21 academic year, he was a lecturer of Programming 1 (laboratory module) for the BS degree in Computer Science of the Faculty of Science. From the academic year 2020/21 to the current date, he has been a lecturer of Computer Science Laboratory for the MS degree of Environmental and Territorial Engineering of the Faculty of Engineering and Architecture. In the academic year 2021/22 he was a lecturer of Electronic Computers for the BS degree in Biomedical Engineering of the Faculty of Engineering and Architecture. From the academic year 2022/23 to the current date, he has been a lecturer of Machine Learning for the BS degree in Applied Informatics and Data Analytics of the Faculty of Science.
