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Event Chairs

VISIGRAPP Conference Chair

Jose Braz
Escola Superior de Tecnologia de Setúbal

Brief Bio
Not Available


Program Co-Chairs

Giovanni Maria Farinella
Università di Catania

Brief Bio
Giovanni Maria Farinella received the M.S. degree in Computer Science (egregia cum laude) from the University of Catania, Italy, in 2004, and the Ph.D. degree in computer science in 2008. He joined the Image Processing Laboratory (IPLAB) at the Department of Mathematics and Computer Science, University of Catania, in 2008. His research interests lie in the fields of computer vision, pattern recognition and machine learning. He has edited five volumes and coauthored more than 100 papers in international journals, conference proceedings and book chapters. He is a co-inventor of five international patents. He serves as a reviewer and on the programme committee for major international journals and international conferences. He founded (in 2006) and currently directs the International Computer Vision Summer School (ICVSS). ... More >>

Petia Radeva
Computer Vision Center, Universitat de Barcelona

Brief Bio
Prof. Petia Radeva completed her undergraduate study on Applied Mathematics and Informatics at the University of Sofia, Bulgaria, in 1989. In 1996, she received a Ph.D. degree in Computer Vision at UAB. In 2007, she moved as Tenured Associate professor at the Universitat de Barcelona (UB), Department of Mathematics and Informatics, where from 2009 to 2013 she was Director of Computer Science Undergraduate Studies. In 2018, Petia Radeva became Full professor at the Universitat de Barcelona. Petia Radeva is Head of the Consolidated Group Computer Vision at the University of Barcelona (CVUB) at UB (www.ub.edu/cvub) and Head of the Medical Imaging Laboratory of Computer Vision Center (www.cvc.uab.es). Petia Radeva’s research interests are on Development of learning-based approaches (especially, deep learning) for computer vision, and their application to health. Currently, she is involved on projects that study the application of wearable cameras and life-logging, to extract visual diary of individuals to be used for memory reinforcement of patients with mental diseases (e.g. Mild cognitive impairment). Moreover, she is exploring how to extract semantically meaningful events that characterize lifestyle and healthy habits of people from egocentric data. Petia Radeva is Principal Investigator of the Universitat de Barcelona in two European projects devoted to food intake monitoring for patients with kidney transplants and for older people. There her team applies most recent and advanced methods for food image analysis using Deep learning models. Petia Radeva is REA-FET-OPEN vice-chair from 2015 and has actively participated from 2018 as a mentor in the Wild Cards EIT program. Petia Radeva is associate editor of Pattern Recognition journal and International Journal of Visual Communication and Image Representation. She obtained the ICREA award from the Catalonian Government for her scientific merits in 2014, the international award “Aurora Pons Porrata” from CIARP in 2016 and the Prize “Antonio Caparrós” for the best technology transfer project of 2013. ... More >>