Admar Longo Jr holds a bachelor’s degree and a post-graduate (1995) degree in Systems Analysis from Universidade Mackenzie de São Paulo. He is a Technical Support Analyst at Division of Informatics and at the Laboratory of Biomedical Informatics, School of Medicine, USP. He has experience in the administration and support of big volumes of data, particularly images from the institutional PACS, as well as other systems and equipment used in performing and analyzing medical imaging exams. Additionally, he has long experience in support and standardization of processes in microinformatics.

Dr. Catharine de Vita Graves is graduated in Biomedical Engineering and in Science and Technology by Federal University of ABC (2016) and has a PhD from University of São Paulo in Electrical Engineering. She is a researcher at the Laboratory of Biomedical Informatics, School of Medicine, USP. She has experience in biological signal processing, medical image analysis, artificial intelligence, especially on deep learning tools for image processing.
CV-Lattes: http://lattes.cnpq.br/8452451965148071

Dr. Diego Armando Cardona Cardenas holds a degree in Bioengineering from the University of Antioquia (Colombia), M.Sc. and PhD (2018) in Electrical Engineering from the University of Sao Paulo. His research interests include medical image processing, pattern recognition, ultrasound tomography, biological signal processing and machine learning. He is a Researcher at the Laboratory of Biomedical Informatics of the Heart Institute, Clinics Hospital, University of São Paulo Medical School.
CV-Lattes: http://lattes.cnpq.br/8262973483773973

Douglas Almeira is a Bachelor of Biomedicine from Nove de Julho University (UNINOVE) (2012-2015). He conducted scientific initiation in biochemistry at the UNINOVE Research Laboratory, Memorial Campus (2013), and at the Malacology Laboratory of the Butantan Institute (2015), focusing on Bioinformatics analyses, specifically Hepatitis C virus (HCV) phylogeny. He holds a Master’s degree in Sciences, with a focus on Virology and Bioinformatics, from the Federal University of São Paulo (UNIFESP) (2016-2020). Currently, he works as a researcher at the Heart Institute of the São Paulo Hospital das Clínicas (InCor-HCFMUSP), in the area of Machine Learning applied to cardiac biomarker monitoring.
CV Lattes: http://lattes.cnpq.br/2144911195773709

Felipe Dias graduated in electrical engineering with emphasis on electronic systems from the Federal University of Juiz de Fora (UFJF), with a one-year sandwich period at the Illinois Institute of Technology located in the city of Chicago in the United States. He carried out a project on the generation of visual and thermal three-dimensional models for electrical equipment using computer vision techniques. Additionally, he worked in the field of computer vision focusing on monitoring large structures (dams and slopes) at the Intelligent Robotics Group (GRIn) at UFJF. Currently, he is a doctoral student at the University of São Paulo (USP) and a researcher at the Heart Institute of the Hospital das Clínicas at the Faculty of Medicine of USP (InCor HC-FMUSP). He is interested in biomedical signal processing using techniques such as machine learning and compressive sampling. CV lattes: http://lattes.cnpq.br/3455258218368949

Filipe Oliveira is bachelor of Biomedical Engineering from the Federal University of Uberlândia (UFU). He is currently working in Research and Development activities at the Heart Institute (InCor) in São Paulo. CV-Lattes: http://lattes.cnpq.br/2265414046268772

Marcelo Toledo is PhD. (2018), MSc. (2013), Lic. (2010), and BSc (2009) in Biology from the University of São Paulo. Research experience in animal physiology, neuroscience, animal behaviour and computational biology. Mainly interested in biological applications of artificial intelligence and statistics, especially in deep learning and neural networks applied to image analysis, swarm intelligence and statistical modeling.
CV-Lattes: http://lattes.cnpq.br/6595953925093891

Prof. Marco Antonio Gutierrez: Graduated by the School of Engineering, from the University of Sao Paulo, Sao Carlos (1985), received the Doctoral Degree in Electric Engineering by the Polytechnique School of the USP (1995) and carried out Post-Doctoral activities in Medical Imaging Processing in the Image Science Institute, Utrecht University (1996) and Assistant Professor in Medical Informatics by the Federal University of Sao Paulo (2008). He is part of the Cardiopneumology Department from the Medical School of the USP and the Biomedical Engineering Department from Polytechnic School of the USP, where he is Assistant Professor. He is head of the Division of Informatics and of the Laboratory of Biomedical Informatics, School of Medicine, USP. Researcher Level 1D of the CNPq.
CV-Lattes: http://lattes.cnpq.br/4428534123137232

Dr. Marina de Fátima de Sá Rebelo holds a degree in Physics and a Master´s degree in Physics from the University of São Paulo and a PhD in Electrical Engineering from the State University of Campinas (2005). She is a researcher at the Laboratory of Biomedical Informatics, School of Medicine, USP. She has experience in Biomedical Engineering and Health Informatics, with emphasis on Biological Signals Processing and Clinical Information Systems, working mainly on the following topics: image processing, motion quantification, spect and integration of clinical information, and intelligent systems.
CV-Lattes: http://lattes.cnpq.br/2603863331633089

Quenaz Soares is currently pursuing a Master’s degree in Electrical Engineering at the Polytechnic School of the University of São Paulo (USP), researching automatic classification of electrocardiograms. He holds a Bachelor’s degree in Electrical Engineering from the Federal University of Viçosa (UFV). He conducted research in the field of Biomedical Engineering (development of medical hardware (EEG) and processing of biological signals for Brain-Computer Interfaces and objective audiometry applications), machine learning (environment recognition by 2D LiDAR), and evolutionary algorithms (automatic development of classifiers for biological signals). CV Lattes: http://lattes.cnpq.br/2174311120816081

Dr. Ramon Alfredo Moreno holds a degree in Electrical Engineering from the University of São Paulo and a PhD in Electrical Engineering from the University of Sao Paulo (2005). He is a Researcher at the Laboratory of Biomedical Informatics, School of Medicine, USP. He has experience in Biomedical Engineering and Health Informatics, with emphasis on PACS Systems and Electronic Records, working mainly on the following topics: PACS, medical images, biomedical signals, DICOM, java, context and intelligent systems.
CV-Lattes: http://lattes.cnpq.br/4556786837583818

Renata Callado Borges holds a degree in History from Universidade de São Paulo (USP) and a Master’s degree in Computer Science also from USP. She has worked as a system administrator at the Physics Institute from USP and as a software developer for the Laboratoire d’Astrophysique de Marseille and for the Institute d’Astrophysique de Paris, in France. She also worked as systems engineer for the Instituto de Astrofí­sica e Geofí­sica at USP.
CV-Lattes: http://lattes.cnpq.br/2307734550999272