Dr Eirini Konstantinou is a research associate in DIAL focusing on machine learning methods for improving the asset maintenance decision making.
Eirini holds a PhD from the University of Cambridge. During her PhD studies she focused on computer vision, image processing and machine learning methods for automating the monitoring of construction workers labour productivity. In particular, she developed a vision-based tracking method that localises workers across the jobsite using multiple cameras and a semantic-based method that converts the trajectories of workers into productive and unproductive labour time. Eirini holds a Master of Science and a 5 year Diploma in Civil Engineering from the University of Patras, Greece. She has also a 5 year professional experience in project management and structural engineering.
Eirini's research interests are:
- Machine learning
- Asset management
- Computer vision
- Data management
- Image processing
- Signal processing
- Building information modelling (BIM)
- Structural health monitoring of civil infrastructure ”