- HDR Student
- Queensland University of Technology (QUT)
Degradation Modelling and Maintenance Strategies for Railway Surface Defects Through a Machine Learning Approach
Saeed Khalaj is currently a Ph.D. student at the School of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT). Saeed received a bachelor’s degree in Civil Engineering as well as a Master’s degree in Civil-Geotechnical Engineering. He completed his master’s program by working on thesis titled “Reliability Assessment of Landslide Modeling due to Seismic Loads Using Advanced Probabilistic Approaches.” He actively and constantly collaborated on different research areas with some institutions and universities, including the University of Florence, the University of Cassino and Southern Lazio, and the Parthenope University of Naples in Italy, Aalto University in Finland, Delft University of Technology in the Netherland, the University of Exeter in the UK, Macquarie University, and the University of Tasmania in Australia. These collaborations resulted in publishing 6 papers in peer-reviewed journals as well as 2 conference papers. Up to now, his papers have been cited 107 times in google scholar platform.
Developing predictive models, conducting reliability analysis, systematic condition-based monitoring, and optimizing civil infrastructure always grabs his attention. Accordingly, for his Ph.D. project, he is working on rail surface defect arrivals and developing a methodology for rail surface inspection and maintenance. He collaborates with some industry partners, including “Queensland Rail” and “Covaris” in this project. In addition, He has been honored with the HDR Excellence Award 2023 at the School of Mechanical, Medical and Process Engineering.