Paulo Freitas received the bachelor’s degree (Summa Cumme Laude honors) in electrical and electronic engineering and the M.S. degree in computer science from the Universidade Federal de Pernambuco (UFPE), Recife, Brazil, in 2016 and 2018, respectively. He is currently pursuing the Ph.D. degree in computer science with UFPE, under the supervision of Prof. Divanilson Campelo, and the Ph.D. degree in electrical engineering with the École de Technologie Supérieure, Université du Québec, Montreal, QC, Canada, under the supervision of Prof. Georges Kaddoum. His main research interests include cyber-security, intrusion detection systems, artificial intelligence, deep learning, adversarial attacks, and connected things. His knowledge includes, but is not limited to, cyber- security, machine learning, deep learning, generative adversarial networks (GANs), adversarial attacks, microcontrollers, FPGAs, SoCs, hardware description languages, and programming languages.

Research Interests

My main research interest is the use of machine learning and artificial intelligence to enhance the security of connected things while also ensuring robustness against adversarial attacks. In summary, my research interests include:

• Cyber-security.
• Privacy
• Intrusion Detection and Prevention Systems.
• Machine Learning and Artificial Intelligence.
• Adversarial Attacks.
• Connected Things.