Hamidu Midlah Barrie is a PhD candidate at London South Bank University, working within the Human-Centred Industrial Intelligence Lab in the College of Technology and Environment. His research specializes in data-driven AI anomaly detection for collaborative robotic manufacturing systems, with a focus on process mining, deep learning, and real-time fault diagnosis in Cyber-Physical Industrial Automation. His work explores the integration of process discovery techniques with advanced machine learning models to enable component-level root cause attribution, predictive maintenance, and operator-actionable intelligence in Industry 4.0/5.0 smart manufacturing and automation environments.