Ferran Plana Rius
Papers
1
Total Citations
7
H-Index
1
About
Dr. Ferran Plana Rius is a leading researcher at the intersection of civil infrastructure and artificial intelligence, with a primary focus on advancing automated sewer inspection and water level modeling. His most cited work, "Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data" (2022, 7 citations), tackles a critical challenge in urban water management: the high cost and subjectivity of manual sewer pipe inspections. By developing semi-supervised autoencoder models, Plana Rius enables accurate water level predictions even when labeled training data is scarce—a breakthrough that could save utilities billions by reducing reliance on imprecise, technician-dependent video assessments. His approach directly addresses the inefficiencies of current inspection protocols, where technicians must manually judge pipe conditions from remote-controlled camera footage. This work exemplifies his broader mission to democratize infrastructure monitoring through machine learning, making it more objective, scalable, and cost-effective. With growing recognition for bridging deep learning with practical civil engineering problems, Plana Rius is positioned as a key innovator in smart water systems and predictive maintenance for aging urban networks.
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Top Papers
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