About
Júnia Júnia Maísa is a PhD candidate at the University of Bologna and a Research Fellow at the Advanced Research Center on Electronic Systems (ARCES), Italy. She holds a BSc in Telecommunications Engineering from the Federal University of São João del-Rei (UFSJ) and an MSc in Computer Science from the Federal University of Minas Gerais (UFMG), Brazil. Her research focuses on artificial intelligence for cybersecurity, with particular emphasis on runtime attack detection and security monitoring in resource-constrained computing systems. Her doctoral work investigates instruction-level execution evidence and machine learning models for efficient detection. She has an established publication record in international IEEE and ACM conferences, covering cybersecurity, machine learning, 5G and 6G networks, network anomaly detection, edge computing, and intelligent network management. Her research experience in Brazil includes contributions to collaborative projects involving intelligent network management, 5G data analytics, anomaly detection, and machine learning applications for satellite telemetry. These activities established a foundation for her current research on intelligent security monitoring in embedded computing platforms. She also contributes to the academic community through the supervision and mentoring of undergraduate engineering students and peer review for international scientific conferences, including conferences by IEEE, SBC, ACM. She is committed to encouraging women to pursue careers in science and engineering, promoting their participation and professional development in STEM fields. Her research interests include AI-driven cybersecurity, embedded and cyber-physical systems security, code-reuse attack detection, TinyML, RISC-V security, control-flow integrity, network anomaly detection, and data analytics in next-generation communication systems.
Search for Júnia Maísa de Oliveira's papers on the Research page