**Meet the editors**

Fabiano Cavalcanti Fernandes, PD. in Computer Science, Federal University of Paraiba (1998), Master of Science in Knowledge Management and Technology Information, Catholic University of Brasilia (2007), Doctorate in Biotechnology (Bioinformatics), Catholic University of Brasilia (2012). He is currently professor at Federal Institute of Brasilia. His scientific works concern bioinfor-

matics, artificial intelligence, data mining, data science, machine learning and informatics in health.

Lourdes Mattos Brasil, PhD Electrical Engineer, Federal University of Santa Catarina (1984), Master of Science in Electrical Engineering/Biomedical Engineering, Federal University of Santa Catarina (1994), Sandwich Doctorate in Mathematical Applied from Facultes Universitaires Notre\_Dame de La Paix (FUNDP), Belgium (1997–1998) and D.Sc. in Electrical Engineering/Biomedical Engineer-

ing (1999). She is currently professor/researcher/head of the Lato Sensu in Clinical Engineering Course and Post-Graduation Program in Biomedical Engineering, besides being professor of the Course of Electronic Engineering, at the University of Brasilia at Gama, Brazil. Her scientific works concern artificial intelligence, data mining, machine learning, knowledge acquisition, knowledge based systems, hybrid expert systems, virtual reality, intelligent tutoring systems, informatics in health, e–learning and nanotechnology.

Renato da Veiga Guadagnin, Dr. rer. publ. Mechanical Engineer at Polytechnic School in Federal University of Rio de Janeiro (1969), MS course on Systems Analysis at the National Institute for Space Research, in São José dos Campos (1972) and Ph.D studies at the German University of Administrative Sciences Speyer, Germany (1983). He is a retired professor from the University of Brasilia.

He is currently adjunct professor at Catholic University of Brasilia. He has academic and management experience in Computer Science, with research interests in applications on automatic image modeling and analysis in health areas, knowledge visualization, artificial intelligence to support decision making.
