Marc Casas
Papers
1
Total Citations
7
H-Index
1
About
Marc Casas is a leading researcher at the intersection of machine learning and civil infrastructure, with a primary focus on developing intelligent systems for urban water management. His most impactful work addresses the critical challenge of automating sewer pipe inspection, a process traditionally hampered by subjective manual analysis. In his highly cited 2022 paper, Casas pioneered the use of autoencoders for semi-supervised water level modeling, enabling accurate predictions from sparse labeled data—a breakthrough that promises to save utilities billions by facilitating more frequent and reliable infrastructure assessments. His contributions are particularly notable for bridging the gap between advanced deep learning techniques and real-world engineering constraints, where labeled data is scarce. With his work already garnering attention in the civil engineering and AI communities, Casas is recognized for transforming how cities monitor and maintain their underground assets. His research not only advances the field of predictive maintenance but also demonstrates a powerful model for applying AI to solve pressing societal challenges in aging infrastructure systems.
Research Focus
Key Achievements
Top Papers
- 1