Civil Engineering - Adjunct staff
Riadh Al-Mahaidi's Research Interests are in, Structural retrofitting with Fibre, Reinforced Polymers, Strengthening of bridges and Hybrid testing.
Sharing Mobility (carsharing, ride-sharing, customized bus), Driverless taxis, Reliable transit network design, logistics and supply chain design, facility location problem, traffic operation and control.
Dr Au's research areas include traffic congestion, autonomous vehicles, artificial intelligence (deep machine learning), parking, agent-based modelling and simulation, prospect theory and decision making under risk and uncertainty.
• High spatial resolution soil moisture retrieval from microwave remote sensing; • Calibration and validation of airborne radar system; • Machine learning and its application in remote sensing including image classification, change detection and soil moisture retrieval.