- Paper 'GeMID: Generalizable Models for IoT Device Identification' accepted for publication in the Elsevier IoT journal
- Paper 'IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection' accepted for publication in the Computer Networks journal
- Paper 'Graph-Based Floor Separation Using Node Embeddings and Clustering of WiFi Trajectories' accepted to the IPIN 2025 conference
- Paper 'Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection' accepted to IEEE Networking Letters
Research Experience
- Researcher at Huawei's Edinburgh R&D Centre, developing machine learning solutions for indoor positioning using geospatial data
- Teaching Assistant at Heriot-Watt University, teaching Advanced Network Security, Computer Network Security, Software Development 1 (JAVA), and Data Communications and Networking
Education
- PhD in Computer Science from the School of Mathematical and Computer Sciences, Heriot-Watt University, focusing on IoT security, particularly device identification and attack detection
- MSc in Computer Networks and Security (Distinction) from the University of Essex, with a thesis on using machine learning for network attack detection (Supervised by Martin Reed)
- BSc in Computer Education and Instructional Technology from Marmara University
Background
Research interests include IoT security, device identification, and attack detection. Broader interests also include computer networks, indoor positioning, and practical applications of machine learning.
Miscellany
Keen interest in Turkish literature, etymology, classical poetry, hiking, and photography