Fernando Salazar

Fernando Salazar

Project Development Director

International Centre for Numerical Methods in Engineering

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About

Fernando Salazar received the Degree on Civil Engineering from the Technical University of Madrid in 2002, specializing in Hydraulics. He has worked in several dam and hydraulic projects, as well as in the development of emergency plans and hazard-potential classification of dams (being Mequinenza and Riba-Roja, in the Ebro river, among them). He is working for CIMNE since 2009, where he is the current Project Development Director.

He obtained his PhD at the UPC in 2017, qualified as Excellent Cum Laude. It focused on the application of machine learning techniques to dam monitoring data analysis. In this field, he was winner of an International Challenge organized by Verbund, the greatest hydropower company in Austria.

He has been involved in several research projects in the fields of hydraulics, dam engineering and dam safety. He is author or co-author of 15 papers in scientific journals, and around 50 contributions in conference proceedings.

Professional Information

Position: Project Development Director
Department: CIMNE-Madrid

Institution: International Centre for Numerical Methods in Engineering
Second Institution: Universitat Politècnica de Catalunya - BarcelonaTech

Skills & Interests

No skills or interests information provided yet.

Articles (external contributions)

Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach

José María Lezcano-Valverde, Leticia León, Esther Toledano, Juan Á. Jover, Benjamín Fernández-Gutiérrez, Eduardo Soudah, Isidoro González-Álvaro, Lydia Abásolo, Luis Rodríguez-Roderíguez

Scientific Reports, volume 7, Article number: 10189 (2017). doi:10.1038/s41598-017-10558-w

Corrigendum to “An empirical comparison of machine learning techniques for dam behaviour modelling”[Struct. Saf. 56 (2015) 9–17]

F Salazar, MÁ Toledo, E Oñate, R Morán

Structural Safety, 118, 2016

Interpretation of dam deformation and leakage with boosted regression trees

F Salazar, MÁ Toledo, E Oñate, B Suárez

Engineering Structures 119, 230-251, 2016

Highly-converging chutes as an overtopping protection for concrete dams: physical and numerical modelling

L Morera, J San Mauro, F Salazar, MÁ Toledo

Dam Protections against Overtopping and Accidental Leakage, 245, 2015

Physical and numerical modeling for understanding the hydraulic behaviour of Wedge-Shaped-Blocks spillways

FJ Caballero, F Salazar, J San Mauro, MÁ Toledo

Dam Protections against Overtopping and Accidental Leakage, 193, 2015

and 5 more...

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