Tiziano Bianchi received the M.Sc. degree (Laurea) in electronic engineering and the Ph.D. degree in information and telecommunication engineering from the University of Florence, Italy, in 2001 and 2005, respectively. From 2005 to 2012, he was with the Department of Electronics and Telecommunications (now Department of Information Engineering), University of Florence, as a Research Assistant. He joined the Department of Electronics and Telecommunications, Politecnico di Torino, in 2012, as an Assistant Professor. Since 2020, he is an Associate Professor. He is the coordinator of the “ICT for Smart Societies” M.Sc. degree program of Politecnico di Torino. He is the co-founder of ToothPic, a startup offering breakthrough technologies for camera identification.
He has authored over 100 papers on international journals and conference proceedings and is co-inventor of 4 patents. He is currently Associate Editor for the IEEE Transactions on Information Forensics and Security and the Elsevier Journal of Visual Communication and Image Representation and a member of the IEEE SPS Information Forensics and Security Technical Committee. His research interests include multimedia security technologies, multimedia forensics, signal processing in the encrypted domain, and security aspects of compressed sensing.
He is currently involved in the H2020 EU projects “EO-ALERT – Next Generation Satellite Processing Chain for Rapid Civil Alerts” and “SURPRISE – SUper-Resolved comPRessive InStrument in the visible and medium infrared for Earth observation applications“. He was responsible for WP2 “Communication and security” in the ERC Project “CRISP – Towards compressive information processing systems“, and participated to the ERC Proof of Concept “ToothPic – a large-scale camera identification system based on compressed fingerprints”.
When at the University of Florence, he participated to several projects on multimedia forensics and security, including the FP7 EU projects “REWIND – REVerse engineering of audio-VIsual coNtent Data” and “LivingKnowledge – Facts, Opinions and Bias in Time”, and the FP6 EU project “SPEED – Signal Processing in the EncryptEd Domain”.
Source code and datasets for the papers done in collaboration with the University of Florence can be found here.
- Image and Video Processing, Bachelor’s degree programme in Cinema and Media Engineering.
- Applied Information Security and Cryptography, Master’s degree programme in ICT for Smart Societies.
- Digital Signal Processing module in Signal Processing and Optical Transmission Lab, Master’s degree programme in Communications and Computer Networks Engineering.
- Multimedia Forensics module in Multimedia Signal Processing, Master’s degree programme in Communications and Computer Networks Engineering.