Professor Fernando Buarque de Lima Neto received his PhD in Artificial Intelligence from the University of London-Imperial College, UK in 2002. He is head of Computational Intelligence Research Group and Associate Professor at the University of Pernambuco-Brazil, where he has supervised over 100 students in the PhD, MSc and BSc final dissertations. He has authored over 220 scientific publications and holds visiting positions at Texas A&M University, University of Johannesburg, University of Exeter, and University of Münster-WWU. He is Fellow of Academy of Sciences (Pernambuco-Brasil), Alexander von Humboldt Fellow and IEEE Senior Member. Presently, he is also investigating how Computational Intelligence hybridized with Computational Semiotics can evoke explanations that are not mere rules extractions for decision support to complex problems.
Dr. Rafael Rêgo Caldas received his PhD in Natural Sciences from the RWTH Aachen University, Germany in 2020. He received his Masters degree in System Engineering from the University of Pernambuco (UPE), Brazil and his Bachelors degree in Physiotherapy from the Federal University of Pernambuco (UFPE), Brazil in 2015 and 2011, respectively. He is an associate researcher of Computational Intelligence Research Group, where he supervises students in the MSc and BSc final dissertations. He has authored scientific publications regarding artificial intelligence methods, motion analysis, biomechanics, and rehabilitation. Currently, he is also investigating how Computational Intelligence hybridized with Computational Semiotics can provide explainable methods that are not mere rules extractions for decision support applied to complex healthcare problems.