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Prof. Dr. Joberto S. B. Martins (UNIFACS) - Project Coordinator
Professor at Salvador University (UNIFACS) and PhD in Computer Science at Université Pierre et Marie Curie - UPMC, Paris (1986). International Professor at HTW - Hochschule für Techknik und Wirtschaft des Saarlandes (Germany) since 2004, Senior Research Period at Université of Paris-Saclay in 2016, Salvador University head and researcher at NUPERC and IPQoS research groups on Resource Allocation Models, Machine Learning, Software Defined Networking - OpenFlow, Smart Cities, Smart Grid and Cognitive Management. Previously worked as Invited Professor at Université Paris VI and Institut National des Télécommunications (INT) in France and as a key speaker, teacher, and invited lecturer in various congresses and institutions in Brazil and Europe.
Prof. Dr. Carolina Spínola - Principal Investigator (PI)
Professor Spínola graduated in administration from the Federal University of Bahia (1996), and Bachelor's Degree in Business Administration from the Catholic University of Salvador (1992). Pro-Rector of Graduate Studies, Research, and Extension at Salvador University (UNIFACS) between 2013 and 2017 and Institutional Representative of Scientific and Technological Initiation at CNPq. She currently occupies the Coordination of Stricto Sensu Courses and the Coordination of the Graduate Program in Regional and Urban Development (PPDRU), where she works as a Full Professor. Coordinator of the Thematic Chamber on Green Areas of the Salvador Panel on Climate Change. Leader of the Tourism Research Group (GPTURIS) and the Regional and Urban Economy Study Group (GERURB). She has experience in Administration and Tourism, with an emphasis on Regional Development, working mainly on the following topics: entrepreneurship, local development, ecotourism, and tourism and urban planning.
Prof. Dr. Rafael F. Reale - Researcher
Professor at Institute Federal of Bahia (IFBA). PhD. in Computer Science with DMCC (UFBA/UNIFACS/UEFS), MSc. in Computer Systems by Salvador University - UNIFACS (2011) and bachelor in Informatics by Universidade Católica do Salvador (2005). Professor at Instituto Federal da Bahia (IFBA). His current research interests include Bandwidth Allocation Model, MPLS, DS-TE, Autonomy, QoS, Future Internet Architectures, Software-Defined Networks and Cognitive Networks.
Adnei W. Donatti
Ph.D. student at the University of São Paulo (USP) working with resource allocation for Network Slicing on the SFI2 project. Received the M.Sc. degree in Applied Computing and Bachelor of Technology from Santa Catarina State University (UDESC). Interested in network slicing, cloud computing, distributed systems, and computer networks.
Brenda Laudano Lima
M. Sc. in Regional and Urban Development at Universidade Salvador (UNIFACS), holding a CAPES scholarship. Brenda currently has the position of Nurse as Primary Care Coordinator in the municipality of Ibicoara, Chapada Diamantina, Bahia, Brazil.
Eduardo Sidnei da Silva Xavier
M. Sc. student at Universidade Salvador (UNIFACS), a graduate student in e-learning at Serviço Nacional de Aprendizagem Comercial (SENAC), and specialist in data processing at Universidade Federal do Pará (UFPA). Interested in database systems, distribution systems, machine learning, and robotics.
Rafael L. Queiroz
Bachelor's in Computer Science student at Universidade Salvador (UNIFACS), scientific initiation undergraduate student (IC), currently working as a Software Engineer. Interested in machine learning, artificial intelligence, and system automations.
João Pedro B. Santos
Bachelor's in Computer Science at Universidade Salvador (UNIFACS), scientific initiation undergraduate student (IC), currently working as a Software Engineer and Web Developer. I am passionate about Machine Learning and Artificial Intelligence, constantly striving to improve my skills and apply my knowledge to develop innovative and efficient solutions.
Luis Claudio T. França
Bachelor's in Computer Science at Universidade Salvador (UNIFACS), scientific initiation undergraduate student (IC) with previous experience as data engineer. Interested in machine learning, artificial intelligence, data manipulation.
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