Andrea Cavallaro is Professor in Multimedia Signal Processing & Turing Fellow in the School of Electronic Engineering and Computer Science at Queen Mary University of London. He is also Principal investigator on a new project funded by the Alan Turing Institute: 'Privacy-preserving Multimodal Learning for Activity Recognition' (PRIMULA).
PRIMULA will study, design and validate efficient on-device models from multimodal sensor available on a body camera for privacy preserving aggregation, processing and interpretation. The study and analysis of novel algorithms and techniques will enable us to deepen the scientific understanding of the core problems in the rapidly emerging landscape and application domains of body cameras.
Professor Cavallaro is Area Editor for the Institute of Electrical and Electronics Engineers (IEEE) Signal Processing Magazine and Associate Editor for the IEEE Transactions on Image Processing. He is an elected member of the IEEE Signal Processing Society, Image, Video, and Multidimensional Signal Processing Technical Committee, and chair of its Awards committee. He served as an elected member of the IEEE Signal Processing Society, Multimedia Signal Processing Technical Committee, as Associate Editor for the IEEE Transactions on Multimedia and the IEEE Transactions on Signal Processing, and as Guest Editor for seven international journals. He has published more than 130 journal and conference papers and three edited books and main research interests are image and video analysis, video compression and visual information description.
Camera networks, Target detection and tracking, Behaviour and identity recognition, Bayesian visual tracking