Projects
Graph visualization of network traffic flows with anomalous nodes highlighted
AI for Cybersecurity
Detecting network and host intrusions with causal-mechanism modelling and graph-temporal fusion networks.
SHAP-style feature attribution chart over a network alert dashboard
Studying how well post-hoc explanation methods actually serve analysts working with deep learning intrusion detectors.
Sensor fusion diagram over a fault-tolerant edge computing architecture
AI for IoT
Federated learning and fault-tolerant architectures for running AI directly on constrained, safety-critical IoT devices.
Quantum circuit diagram feeding into a classical LSTM network
Hybrid quantum-classical detection models, and a look at how ready real enterprises are for the quantum-safe transition.
Traffic classification dashboard showing malware family clusters
IoT Security
Classifying IoT botnet traffic and ransomware families with graph neural networks, Kolmogorov-Arnold networks, and lightweight hashing.
Students competing in a capture-the-flag cybersecurity exercise
Intelligent Systems
Designing competition-based cybersecurity education for K-12, and studying enterprise readiness for emerging threats.
No projects in this research area yet.