Accepting PhD Students

PhD projects

Also willing to take MSc by research. - 1. Multimodal AI for Early Detection of Neurodevelopmental Disorders . This project focuses on low-cost, explainable AI methods for analysing infant movement to support earlier identification of neurodevelopmental risk. - 2. Explainable AI for Behaviour and Movement Understanding in Safety-critical Contexts. This project investigates how explainable AI can analyse human behaviour and movement from video, motion, or sensor data to identify risk, fatigue, or deviations from safe procedures in regulated environments such as industry, healthcare, and aviation. - 3. Robotic Sensing and AI for Predictive Safety Monitoring. This project explores autonomous robotic inspection using mobile or quadruped robots equipped with LiDAR and hyperspectral imaging to detect early signs of structural or material risk in large facilities, supporting predictive maintenance and safety decision-making. - 4. Explainable AI for Anomaly Detection in Safety-critical Sensor Systems. This project focuses on interpretable AI models for detecting early faults and unsafe patterns in multi-sensor data from aircraft, drones, and industrial machinery, with potential for real-time and edge deployment.