Dr. Glaucio Haroldo Silva de Carvalho

• Position: Assistant Professor
• Department: Cybersecurity and Information Technology
• Office Location: Building 4, Room 242
• gdilvadecarvalho@uwf.edu
• Campus: 8504742398

Biography

Dr. Glaucio H.S. de Carvalho is an Assistant Professor in the Department of Cybersecurity and Information Technology at the University of West Florida. As an experiential learning-focused educator, he integrates hands-on activities into his teaching to prepare students for practical challenges in the field. He enjoys ethical hacking, designing defense systems that proactively protect complex networks, and applying advanced analytics to understand and address the complexities of cybersecurity.

His research explores the security, privacy, and dependability of intelligent critical infrastructure systems, including 5G/6G networks, intelligent transportation systems, and the Internet of Things, with a particular focus on the integration of artificial intelligence (AI). His work applies AI to enhance cybersecurity—developing intelligent tools for threat detection, intrusion prevention, and resilient system architectures—while also investigating the security and trustworthiness of AI systems themselves, with a focus on critical infrastructure where AI failures could have national or societal impacts.

Dr. Carvalho has published over 90 peer-reviewed papers and has received Best Paper Awards at the International Joint Workshop on Federated Learning for Data Mining and Graph Analytics (FedKDD), 2025, and the IEEE International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), 2020. He is an ACM member and a Senior Member of the IEEE.

Degrees & Institutions

• PhD in Computer Science, Toronto Metropolitan University, 2021
• PhD in Electrical Engineering, Federal University of Pará (2005)
• MSc in Electrical Engineering, Federal University of Pará (2001)
• BSc in Electrical Engineering, Federal University of Pará (1999)

Research

Dr. Carvalho’s research addresses the security, privacy, and dependability of critical infrastructure systems. His work spans next-generation telecommunications (5G/6G), intelligent transportation systems, and Internet of Things, with an emphasis on AI-driven cybersecurity solutions, privacy-preserving mechanisms, and resilient system architectures. He has published over 90 peer-reviewed papers and has received Best Paper Awards at the International Joint Workshop on Federated Learning for Data Mining and Graph Analytics (FedKDD), 2025, and the IEEE International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), 2020. His work focuses on practical applications that enhance the reliability and safety of real-world infrastructure.

Special Interests

Telecommunication Security, Cyber-Physical Systems Security, Internet of Things Security, AI- and Cloud-Native Critical Infrastructure, Zero-Trust Systems

Publications

Selected Papers

1. M. Murshed, N. Wickramasurendra, A. Jubaida, R. De Grande, Glaucio H.S. Carvalho, Novel RF-Jamming IDS for Vehicular Networks: LSTM, XGBoost, and Meta-Models Approaches, Elsevier International Journal of Critical Infrastructure Protection, vol. 52, p. 130, March 2026.
2. S. Saha, S. Das, Glaucio H.S. Carvalho, A Hybrid Deep Learning Model for Adversarially Resilient Internet Traffic Prediction, Elsevier Journal Computers & Electrical Engineering, vol. 130, Feb. 2026.
3. J. Oliveira, R. Ferreira, A. Riker, Glaucio H.S. Carvalho, E. E. Tsiropoulou, FEXT-DP: An Approach for Differentially Private and Explainable Federated Learning, IEEE 23rd Consumer Communications & Networking Conference (CCNC), 2026.
4. N. Wickramasurendra, R. De Grande, Glaucio H.S. Carvalho, RF Jamming BERT Intrusion Detection Systems for Vehicular Networks, IEEE International Systems Conference (SysCon), 2025.
5. D. Kaur, A. Pauls, Glaucio H.S. Carvalho, Towards Explainable AI in Continuous Smartphone Authentication: Leveraging CNN, BiLSTM, and Attention Techniques, IEEE International Conference on Computers, Software, & Applications (COMPSAC), 2025.
6. G. Grossi, Glaucio H.S. Carvalho, B. O.-Berman, Hyperparameter Tuning of Convolution Neural Network for Intrusion Detection Systems using Particle Swarm Optimization, IEEE Symposium on Computational Intelligence in Security, Defence and Biometrics (CISDB), 2025.
7. R. Dividino, Glaucio H.S. Carvalho, A. Banik, Federated Learning with Graph-Based Aggregation for Traffic Forecasting (Best Paper Award), International Joint Workshop on Federated Learning for Data Mining and Graph Analytics (FedKDD), 2025.
8. L. Barbosa, Y. Santo, J. Oliveira, C. A. Astudillo, W. Cordeiro, A. Riker, Glaucio H.S. Carvalho, Federated Learning of Decision Trees in Cooperative IoT Edge Computing, IEEE Symposium on Computers and Communications (ISCC), 2025.
9. M. Murshed, Glaucio H.S. Carvalho, R. Grande, Ensemble SARSA and LSTM for User-centric Handover Decisions in 5G Vehicular Network, IEEE Intelligent Transportation Systems Transactions, vol. 25, no. 12, pp. 21197-21209, Dec. 2024.
10. B. Saunders, R. E. de Grande, Glaucio H.S. Carvalho, I. Woungang, Deep Graph Learning for DDoS Detection and Multi-Class Classification IDS, IEEE International Conference on Cyber Security and Resilience (IEEE CSR), 2024.
11. Glaucio H.S. Carvalho, I. Woungang, A. Anpalagan, I. Traore, Admission and Placement Policies for Latency-Compliant Secure Services in 5G Edge–Cloud System, IEEE Systems Journal, vol. 17, no. 2, pp. 3105-3116, 2023.
12. A. Abusitta, Glaucio H.S. Carvalho, O. A. Wahab, T. Halabi, B. C. M. Fung, S. Al Mamoori, Deep learning-enabled anomaly detection for IoT systems, Elsevier Internet of Things, vol. 21, 2023.
13. Glaucio H.S. Carvalho, I. Woungang, A. Anpalagan, I. Traore, Cloud firewall under bursty and correlated data traffic: A theoretical analysis, IEEE Transactions on Cloud Computing, vol. 10, no. 3, pp. 1620-1633, 2022.
14. Glaucio H.S. Carvalho, I. Woungang, A. Anpalagan, I. Traore, Optimal security risk management mechanism for the 5G cloudified infrastructure, IEEE Transactions on Network and Service Management, vol. 18, no. 2, pp. 1260–1274, 2021.
15. Glaucio H.S. Carvalho, I. Woungang, A. Anpalagan, I. Traore, Optimal security-aware virtual machine management for mobile edge computing over 5G networks, IEEE Systems Journal, vol. 15, no. 3, pp. 3403–3414, 2020.
16. Glaucio H.S. Carvalho, I. Woungang, A. Anpalagan, I. Traore, When agile security meets 5G, IEEE Access, vol. 8, pp. 166212–166225, 2020.
17. Glaucio H.S. Carvalho, I. Woungang, A. Anpalagan, I. Traore, Optimal Security Cost for Latency-Aware Service Provisioning in Mobile Edge Computing (Best Paper Award), IEEE International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), 2020.