Prof. Petia Radeva
University of Barcelona, Spain
Title: TBA
Abstract to follow
Prof. Petia Raveda is a Full professor at the Universitat de Barcelona (UB), Head of the Consolidated Research Group “Artificial Intelligence and Biomedical Applications (AIBA)” at the University of Barcelona. Her main interests are in Machine/Deep learning and Computer Vision and their applications to health. Specific topics of interest: data-centric deep learning, uncertainty modeling, self-supervised learning, continual learning, learning with noisy labeling, multi-modal learning, NeRF, food recognition, food ontology, etc. She was PI of UB in 12 European and international and 45+ national projects devoted to applying Computer Vision and Machine learning for real problems like food intake monitoring. She is Editor in Chief of Pattern Recognition journal (Q1, IP=7.6).
Petia Radeva became an IAPR Fellow in 2015, ICREA Academia assigned to the 30 best scientists in Catalonia for her scientific merits since 2014, received several international awards (“Aurora Pons Porrata” of CIARP, Prize “Antonio Caparrós” for the best technology transfer of UB, etc).