Dr Imane Bayane is a structural engineering researcher at KTH, passionate about how artificial intelligence and data can help us better understand and care for the infrastructure we already have.
Her research brings together machine learning, structural monitoring, non-destructive testing, and engineering models to understand how bridges and other civil infrastructure behave, detect early signs of damage, and support smarter decisions about maintenance and life extension. Rather than developing AI for its own sake, her work focuses on turning complex data into knowledge that engineers and infrastructure owners can actually use.
Her research journey began at EPFL through INFRASTAR, a European Marie Skłodowska-Curie project, where her PhD focused on monitoring and fatigue assessment of reinforced-concrete bridges. This experience shaped a research approach that remains central to her work today: combining scientific innovation with real structures, real data, and real engineering challenges.
Today, her research is expanding toward AI and machine learning for civil infrastructure, while keeping structural engineering at its core. Through close collaboration with infrastructure owners, industry, and international research partners, her ambition is to contribute to a future where existing infrastructure can be managed more intelligently, sustainably, and efficiently and kept in service for longer.