Students

PhD students ( main/principal/primary/co-supervisor)

1. Misganaw Kebede

2. Wegderes Beyene

3. Adamu Gaston Philipo, AI-enabled Cyberbullying Detection in the Cyber-Physical-Social-Thinking (CPST) Space, (2023-2027)

4. Doreen Sebastian Sarwatt, Adversarial Defense for Traffic Sign Classification in Autonomous Vehicles, 2026

5. Zita Lifelo, Continual Adaptation for Reliable and Robust Cross-Domain Depression Detection, 2026

6. Getahun Wassie Geremew, Traffic Prediction and Detection for QoS Optimization in SDN Using Deep Learning Approach, Addis Ababa University, 2025

7. Attia Qammar, Blockchain-based optimized client selection with privacy-preserved federated learning, 2024

8. Yuning Jiang, Vulnerability Analysis for Critical Infrastructures, 2022

Master students (supervisor)

1. Kevin Wigren, Byzantine Fault-Tolerant SIEM: A Two-Tier Consensus Architecture for Distributed Security Monitoring, 2026

2. Fredrik Jansson, Comparing machine learning algorithms for detecting behavioural anomalies, BTH, 2023

3. Peter Yliniemi, Timothy Hjort,  Testing the Feasibility of Using Generative AI in Expanding the Event Horizon in Intrusion Detection Systems, BTH, 2024 

4. Jacob Carlsson, Comparison in functionality between a closed and two open source distributions in a router, University of Skövde, 2016

5. Dennis Modig, Assessing performance and security in virtualized home residential gateways, University of Skövde, 2014

Bachelor students (supervisor)

1. John Ringström, Synthetic Data Augmentation for Intrusion Detection: Evaluating WGAN-GP for Class Imbalance and Novel Attack Detection, 2026