Carlos E. B. Santos Junior received his AS degree in Computer Networking in 2013 from the Federal Institute of Education, Science, and Technology of Rio Grande do Norte, Brazil, and the M.Sc. degree in Computer Engineering in 2018 from the Federal University of Rio Grande do Norte, Brazil. He works as a Senior II Information Security Analyst at Ab-Inbev. He is currently a PhD candidate in Computer Engineering from the Federal University of Rio Grande do Norte and a Team Member of the Research Group on Embedded Systems and Reconfigurable Computing at InovAI Lab, where his main research topics are cybersecurity, reconfigurable hardware, blockchain, IoT, artificial intelligence, and embedded systems.
Matheus F. Torquato received his B.Sc. degree in science and technology, his B.Eng. degree in computer engineering, and his M.Sc. degree in computer engineering from the Federal University of Rio Grande do Norte, in 2013, 2015, and 2017, respectively. He is currently a Senior Data Scientist at JLR. He is also an external member of the Research Group on Embedded Systems and Reconfigurable Hardware at InovAI Lab, where his main research topic is the acceleration of artificial intelligence (AI) algorithms through reconfigurable computing (RC) on FPGA. His research interests include Al, machine learning, RC, embedded systems, reconfigurable hardware, human–computer interaction, and tactile internet.
Sérgio Natan Silva received a BS degree in Science and Technology in 2012 and a BS degree in Computer Engineering in 2014, both from the Federal University of Rio Grande do Norte (UFRN), Natal, Brazil. He completed his MS in Computer Engineering in 2016 and his Ph.D. in Computer Engineering in 2021, both at UFRN. Currently, he holds a post-doctoral position with the Graduate Program in Electrical and Computer Engineering at UFRN. He is also a member of the InovAI Lab. His research interests include Generative AI, Deep Learning, Machine Learning, Artificial Intelligence, Tactile Internet, Embedded Systems, Data Analysis, and Reconfigurable Computing.
