Rafael Timóteo de Sousa Júnior (https://orcid.org/0000-0003-1101-3029, WoS ResearcherID V-3293-2019) received his bachelor’s degree in electrical engineering, from the Federal University of Paraíba – UFPB, Campina Grande, Brazil, 1984, his master’s degree in computing and information systems, from the Ecole Supérieure d'Electricité – Supélec, Rennes, France, 1984-1985, and his doctorate in telecommunications and signal processing, from the University of Rennes 1, Rennes, France, 1988. He was a visiting researcher with the Group for Security of Information Systems and Networks (SSIR) at the Ecole Supérieure d'Electricité – Supélec, Rennes, France, 2006-2007. He worked in the private sector from 1988 to 1996. Since 1996, He is a Network Engineering Associate Professor with the Electrical Engineering Department, at the University of Brasília, Brazil, where he has coordinated the Academic (2010-2011) and Professional (2018-2022) Post-Graduate Programs on Electrical Engineering Cybersecurity and supervises the Decision Technologies Laboratory (LATITUDE). Being IEEE Senior Member, he is chair of the IEEE VTS Centro-Norte Brasil Chapter (IEEE VTS Chapter of the Year 2019) and the IEEE Centro-Norte Brasil Blockchain Group. He is a Researcher with the Productivity Fellowship Level 2 (PQ-2) granted by the Brazilian National Council for Scientific and Technological Development (CNPq). His professional experience includes innovation projects with Dell Computers, HP, IBM, Cisco, and Siemens. He has coordinated research, development, and technology transfer projects with the Brazilian Ministries of Planning, Economy, Justice, and Health, as well as with the Institutional Security Office of the Presidency of Brazil, the Administrative Council for Economic Defense, the General Attorney of the Union and the Brazilian Union Public Defender. He has received research grants from the Brazilian research and innovation agencies CNPq, CAPES, FINEP, RNP, and FAPDF. He has developed research in cyber, information and network security, distributed data services and machine learning for intrusion and fraud detection, and signal processing, energy harvesting and security at the physical layer.