Machine Learning for the Sustainable Management of Main Water Supply Assets

Maryam Rahbaralam ’19 (Data Science)

big data

Maryam Rahbaralam ’19 (Data Science) presented “Machine Learning for the Sustainable Management of Main Water Supply Assets” with Jaume Cardús (Aigües de Barcelona) during the Pioneering Fields and Applications (Strong AI) session at the 2019 Big Data and AI Congress in Barcelona.

Abstract

The developed machine learning model gives the prediction of the probability of failure for each pipe section of the water supply network, allowing an early renewal of those in more detrimental conditions in terms of social, environmental and economic consequences.

Video

Maryam Rahbaralam ’19 is a Data Scientist at the Barcelona Supercomputing Center (BSC). She is an alum of the Barcelona GSE Master’s in Data Science.

LinkedIn | Twitter

Leave a Reply