Expected thesis defense in early 2026. Open to research collaborations and faculty positions.
About Me
I am a Ph.D. candidate at the University of Oulu, working under the supervision of Dr. Panos Kostakos and Dr. Lauri Loven. My research focuses on the intersection of cybersecurity and artificial intelligence, with specific expertise in Federated Learning, Intrusion Detection Systems (IDS), and Threat Intelligence.
My work contributes to securing critical infrastructure and modern networks (5G/6G) by developing decentralized, privacy-preserving security mechanisms.
Education
Doctor of Science (Tech) in Computer Science & Engineering
Focus: Cybersecurity, Federated Learning, and Intrusion Detection Systems. Expected defense: Early 2026.
Master of Science in Software Engineering
Bachelor of Science in Software Engineering
Selected Publications
2025Optimized Contrastive Transformer Models for Self-Supervised 5G Network Intrusion Detection
Federated Variational Autoencoders for Unsupervised Anomaly Detection in Distributed 5G Networks
Research Projects
H2020 IDUNN: Cognitive Detection for Operational Technologies
EU H2020Developed a cloud-native, microservices-based architecture for anomaly detection in OT. Implemented Explainable AI (SHAP, LIME) for intrusion detection.
H2020 NESTOR: Border Security Intelligence
EU H2020Designed an enhanced pre-frontier intelligence picture. Developed AR mapping application for HoloLens 2.
Professional Experience
Doctoral Researcher
- Leading research on federated learning algorithms for cyber threat detection
- Developed lab infrastructure including cyber ranges for attack simulation
- Supervising Master's and Bachelor's thesis students
Senior Software Engineer & Web Developer
- Architected and deployed custom CRM systems
- Led full-stack development projects