Professor Petia Radeva is a full professor at the Universitat de Barcelona (UB), Head of the Consolidated Research Group “Computer Vision and Machine Learning” at the University of Barcelona (CVMLUB) at UB (www.ub.edu/cvmlub), and Senior researcher in Computer Vision Center (www.cvc.uab.es)). She was PI of UB in 7 European, three international, and more than 25 national projects devoted to applying Computer Vision and Machine learning for real problems like food intake monitoring (e.g., for patients with kidney transplants and for older people). Professor Radeva is REA-FET-OPEN vice-chair since 2015 and international mentor in the Wild Cards EIT program since 2017. She is an Associate Editor of Pattern Recognition journal (Q1, IP=7.196) and International Journal of Visual Communication and Image Representation (Q2, IP=3.13). She is a Research Manager of the State Agency of Research (Agencia Estatal de Investigación, AEI) of the Ministry of Science and Innovation of Spain. Professor Radeva has been awarded IAPR Fellow since 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.). She supervised 22 PhD students and published more than 100 SCI journal publications and 250 international chapters and proceedings; her Google scholar h-index is 49 with more than 9000 cites.