Research activities are centred on Data Science, Artificial Intelligence, and Machine Learning, with a focus on building intelligent systems that can analyse complex data and support better decision-making.

The main areas of work include anomaly detection, explainable AI, time-series analysis, cybersecurity, industrial control systems, and energy-efficient network infrastructures. This work involves developing methods that can identify unusual patterns, evaluate model performance when labelled data is limited or unavailable, and explain why a system or model detects certain behaviours as abnormal.

The research combines theoretical model development, experimental evaluation, and real-world application, especially in domains where reliable, transparent, and practical AI solutions are needed.