Congratulations to our most recent PhD in Electrical Engineering - Tamires Rezende

Congratulations to our most recent PhD in Electrical Engineering, Tamires Martins Rezende. Her project was related to Development and Validation of Brazilian Sign Language Recognition. The full presentation can be seen on YouTube at Defesa de doutorado - Tamires Martins Rezende

Congratulations on your profound achievement, Dra. Tamires Rezende. We are extremely proud of you and wish you all the best in the future.

Explainable Machine Learning Model (xAI) for Detection of COVID-19 and Pulmonary Respiratory Diseases

COVID-19 is a highly contagious disease caused by SARS-CoV-2. It has affected society in several aspects of life. Due to that, many scientists and labs around the world are developing research to combat the coronavirus. The focus, in general, is on prevention, detection or cure.

Our team is also in this race. We are developing an explainable machine learning model to assist the automatic detection of acute respiratory syndromes, such as COVID-19, SARS, MERS, H1N1 and others. To do this, we are going to use clinical, laboratory and image parameters, initially with public datasets. The model should be able to offer good usability and accuracy.

Together with the Hospital das Clínicas of UFMG, considered a center of reference and excellence, we intend to evaluate the model in real cases making it useful for society. We also are in touch with researchers from Grupo de Pesquisa em Ciência de Dados e Inteligência Computacional (or Research Group in Data Science and Computational Intelligence) from Federal Institute of Northern Minas Gerais (IFNMG) and Department of Computer Science from Federal University of Ouro Preto (UFOP).

Collaborations are welcome. If you are interested in knowing more about the project and/or working with us, please contact us.

Some publications related to this project:

SILVA, PETRÔNIO C.L. ; BATISTA, PAULO V.C. ; LIMA, HÉLDER S. ; ALVES, MARCOS A. ; GUIMARÃES, FREDERICO G. ; SILVA, RODRIGO C.P. . COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions. CHAOS SOLITONS & FRACTALS, v. 139, p. 110088, 2020. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0960077920304859

SOUZA, L. P. ; ALVES, MARCOS ANTONIO ; BATISTA, P. V. C. ; SILVA, P. C. L. E. ; GUIMARAES, F. G. . Tomada de Decisão Multicriteiro para Classificação de Políticas de Enfrentamento à COVID-19. In: LII Simposio Brasileiro de Pesquisa Operacional, 2020, Joao Pessoa/PB - Brasil. Anais do LII Simposio Brasileiro de Pesquisa Operacional, 2020. Available at: https://proceedings.science/sbpo-2020/papers/tomada-de-decisao-multicriterio-para-classificacao-de-politicas-de-enfrentamento-a-covid-19

ALVES, MARCOS ANTONIO; ZANON DE CASTRO, GIULIA ; SOARES OLIVEIRA, BRUNO ALBERTO ; FERREIRA, LEONARDO AUGUSTO ; RAMÍREZ, JAIME ARTURO ; SILVA, RODRIGO ; GUIMARÃES, FREDERICO GADELHA . Explaining Machine Learning based Diagnosis of COVID-19 from Routine Blood Tests with Decision Trees and Criteria Graphs. COMPUTERS IN BIOLOGY AND MEDICINE, v. 104335, p. 104335, 2021. Available at: https://www.sciencedirect.com/science/article/pii/S0010482521001293

Achievement of Senior Membership of IEEE

It is a pleasure to announce that Frederico Gadelha Guimarães has been elevated to the grade of Senior Member of IEEE this year. Senior Member is the highest professional grade of IEEE for which a member may apply. It requires extensive experience, and reflects professional accomplishment and maturity. Only few members get this recognition.