2024 9th International Workshop on Pattern Recognition
Life Fellow of IEEE Prof. Witold Pedrycz, University of Alberta, Canada
Speech Title: Credibility and Interpretability/Explainability in Applications of Machine Learning: An Environment of Granular Computing (Abstract)
Mauro Barni graduated in electronic engineering at the University of Florence in 1991. He received the PhD in Informatics and Telecommunications in October 1995. He has carried out his research activity for more than 20 years, first at the Department of Electronics and Telecommunication of the University of Florence, then at the Department of Information Engineering and Mathematics of the University of Siena where he works as full Professor. His activity focuses on digital image processing and information security, with particular reference to the application of image processing techniques to copyright protection (digital watermarking) and authentication of multimedia (multimedia forensics). He has been studying the possibility of processing signals that has been previously encrypted without decrypting them (signal processing in the encrypted domain – s.p.e.d.). Lately he has been working on theoretical and practical aspects of adversarial signal processing, adversarial machine learning and protection of IPR in AI by means of neural network watermarking. From 2010 to 2011, Prof. Barni has been the chairman of the IEEE Information Forensic and Security Technical Committee (IFS-TC) of the IEEE Signal Processing Society. He has been a member of the IEEE Multimedia Signal Processing technical committee and of the conference board of the IEEE Signal Processing Society. Mauro Barni is a fellow member of the IEEE, fellow member of AAIA (Asia-Pacific Artificial Intelligence Association) and senior member of EURASIP. He was appointed distinguished lecturer by the IEEE Signal Processing Society for the years 2013-2014. He has been the chairman of the Italian chapter of the IEEE Signal Processing Society from 2018 to 2021.