Conference proceedings

Invited Lectures

1. “Applications, possibilities and limitations of machine learning and artificial intelligence in dam engineering”. 75th Anniversary of the Faculty of Civil Engineering at Ss. Cyril and Methodius University in Skopje, North Macedonia, 2024 

2. “Analysis of dam monitoring data with machine learning: fundamentals, possibilities and free-use software”. Delivered at the meeting of the Committee A of SPANCOLD during the “Jornadas Españolas de Presas”, Barcelona, June, 2024.

3. “Combination of advanced numerical methods and machine learning for dam safety assessment”. 11th ICOLD European Club Symposium, Chania, Greece, October 2019

4. “New technologies for strengthening dam safety and resilience”. Meeting of the European Club of National Committes of ICOLD. Vienna, Austria, 2018.

5.  “The role of numerical models in research and design of dam spillways”. CEDEX, Madrid, Spain, 2013.

6. “Development of numerical methods at CIMNE for dam safety analysis”. US Bureau of Reclamation (USBR). Denver, Colorado, USA, 2010.

Conference Proceedings

1. Silva-Cancino, N., Salazar, F., Irazábal, J., Mata, J. (2025). Adaptive warning thresholds in dam safety using kernel density estimation. 5th International Dam World Conference. Lisbon, Portugal, April 2025.

2. Salazar, F., Irazábal, J., Silva-Cancino, N., Vicente, D.J., 2025. Performance evaluation of hybrid approaches for predicting arch dam deformations, in: Proceedings of the 17th ICOLD Benchmark Workshop on Numerical Analysis of Dams. Sophia, Bulgaria.

3. Salazar, F., Irazábal, J., Barbero, C., Fernández, X., Gil, M., Gámez, C., 2024. Análisis de los datos de auscultación de las presas de la agencia catalana del agua con técnicas de aprendizaje automático. Presented at the XIII Jornadas Españolas de Presas, Barcelona, Spain.

4. López-Chacón, S., Salazar, F., Bladé, E. Análisis de incertidumbre basado en clústeres y mezclas gaussianas en modelos de aprendizaje automático para la predicción de caudal en ríos. Seminario InterJIA, Octubre 2024, IAHR.

5. Salazar, F., Irazábal González, J., Silva, N., Vicente, D.J., 2024. Combination of FEM and machine learning models for enhanced dam safety assessment. Presented at the 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), Lisbon, Portugal.

6. Salazar, F., Irazábal, J., Silva-Cancino, N., Mata, J., 2024. Automatic identification of potential outliers in large data bases of time series based on autoencoders. Application to dam monitoring data. Presented at the 8th Europe Congress of the International Association for Hydro-Environment Engineering and Research (IAHR), Lisbon, Portugal.

7. Salazar, F., Membrillera, M., Gil, M., Barbero, C., Fernández, X., 2023. Application of machine-learning predictive models to a dam portfolio, in: Proceedings of the 91st ICOLD Annual Meeting. Goteborg.

8. Salazar, F., Irazábal, J., Vicente, D.J., 2022. Prediction and interpretation of dam response with boosted regression trees, in: Proceedings of the 16th ICOLD Benchmark Workshop on Numerical Analysis of Dams. Ljubjana, Slovenia.

9. Salazar, F., Simon, A., Malm, R., Hellgren, R., Klun, M., 2022. Behaviour Prediction of a Concrete Arch Dam: Description and Synthesis of Theme A, in: University of Ljubljana, Faculty of Civil and Geodetic Engineering (Ed.), Proceedings of the 16th International Benchmark Workshop on Numerical Analysis of Dams. Ljubljana, Slovenia.

10. Salazar, F., Conde, A., Barbero., C. 2022. A free software for dam monitoring data analysis: exploration, curation and machine learning model fitting. Question 106. 27th ICOLD Congress. Marseille, France, 2022

11. Cunha, J., Faria, A., Mata, J., Salazar, F. (2023) Use of boosted regression tree algorithms in dam behaviour analysis. Case of Covão do Meio dam (Portugal). Symposium “Management for Safe Dams” - 91st Annual ICOLD Meeting. June 2023, Gothenburg, Sweden.

12. López-Chacón, S. R., Salazar, F., & Bladé, E. (2023). Evaluation of streamflow prediction models under imbalanced domain conditions. 40th IAHR World Congress, Vienna, Austria, 21-25, August.

13. Sanz-Ramos, M., Bladé, E., Silva-Cancino, N., Salazar. F. (2023) Avances en Iber para la clasificación de balsas: Proyecto ACROPOLIS. VII Jornadas Ingeniería del Agua (JIA). Cartagena, Spain. 18-19, October.

14. Irazábal, J., Salazar, F., Vicente, D. J., "An automatic methodology based on Machine Learning for the calibration of parameters in numerical models", Congreso de Métodos Numéricos en Ingeniería, Las Palmas de Gran Canaria (Spain), September 2022.

15. Silva-Cancino, N., Salazar, F., Sanz-Ramos, M., Bladé, E. "Metodología para la identificación de zonas de riesgo debido a la rotura de balsas usando técnicas de Machine Learning", Congreso de Métodos Numéricos en Ingeniería, Las Palmas de Gran Canaria (Spain), September 2022.

16. Silva-Cancino, N., Salazar, F., Sanz-Ramos, M., Bladé, E. "A Machine Learning-based surrogate model for the identification of risk zones due to off-stream reservoirs failure", 39th IAHR World Congress, Granada (Spain), June 2022.

17. López, S., Salazar, F., "Machine Learning y Recursos Hídricos", Conferencia Universidad Mayor de San Andrés, La Paz, Bolivia, 19 de julio de 2022.

18. Guerra-Rodríguez, S., Vicente, D. J., Rodríguez-Chueca, J., Pérez-Aja, A., Rodríguez, E., Salazar, F., "Application of Machine Learning techniques to optimize water disinfection through Advanced Oxidation Processes", 39th IAHR World Congress, Granada, Spain, 19-24, June 2022.

19. Caballero, F.J., Peraita, J., Morán, R., Toledo, M.Á., Salazar, F., San Mauro, J. 2022. Instalación experimental de Laverné para la evaluación de tecnologías de protección frente al sobrevertido de presas y diques en condiciones de cuasi prototipo. XIV seminario de la red de laboratorios de hidráulica de España (RLHE). Barcelona, marzo de 2022.

20. Salazar, F., Sánchez, P., San Mauro, J., Barbero, C, Conde, J., Aromir, M., "Mejora de la seguridad hidrológica mediante rehabilitación del cuenco amortiguador de una presa de gravedad usando modelización numérica", XII Jornadas Españolas de Presas, Las Palmas de Gran Canaria (Spain), October 2021

21. Salazar, F., Conde, A., Barbero, C., Silva-Cancino, N., "Análisis de los datos de auscultación de la presa de La Baells con técnicas de aprendizaje automático ", XII Jornadas Españolas de Presas, Las Palmas de Gran Canaria (Spain), October 2021

22. San Mauro, J., Salazar, F., "CALA: A GiD assistant to design stilling basins for dams", 10th online Convention on Advances and Applications of GID, 20 July 2020.

23. Salazar, F., "Roads that supply energy", 18th European Week of Regions and Cities, October 2020. European Commission.

24. Vicente, D. J., San Mauro, J., Salazar, F., "A GiD tool for numerical simulation of leaks and intrusions in water pipes", 10th online Convention on Advances and Applications of GID, 20 July 2020.

25. Conde, A., Salazar, F. “Pre-processing of dam data coupled with behavior analysis through machine learning”. VIII Xornada de usuarios de R en Galicia. Santiago de Compostela, 14 de octubre de 2021.

26. Salazar, F., Kohler, R., Conde, A., & Landstorfer, F. (2021). Interpretation of dam monitoring data combining visualisation tools and machine learning. Eberlaste dam case study. In Numerical analysis of dams: proceedings of the 15th ICOLD international benchmark workshop (pp. 863-874). Springer International Publishing.

27. Salazar, F., Conde, A., & Vicente, D. J. (2019, September). Identification of dam behavior by means of machine learning classification models. In ICOLD International Benchmark Workshop on Numerical Analysis of Dams, ICOLD-BW (pp. 851-862). Cham: Springer International Publishing.

28. Salazar, F., & Hariri-Ardebili, M. (2019, May). Machine learning based seismic stability assessment of dams with heterogeneous concrete. In Proceedings of the 3rd Meeting of EWG Dams and Earthquakes. An International Symposium, Lisbon, Portugal (pp. 6-8).

29. A. Conde, F. Salazar and D. Vicente, Tratamiento y análisis inteligente de datos del comportamiento de estructuras hidráulicas, VI Jornadas de Ingeniería del Agua. 23-24 de Octubre, 2019. Toledo, España.

30. J. San Mauro, F. Salazar, F. Caballero, R. Morán, M. Toledo, L. Ruano, . C. and F. Salazar, Optimización geométrica de aliviaderos en tecla de piano para la mejora de su capacidad hidráulica, VI Jornadas de Ingeniería del Agua, 23-24 de Octubre, 2019. Toledo, España.

31. D. Vicente, M. Aguilar, F. Salazar and J. Helmbrecht, Algoritmo adaptativo para la estimación de pérdidas de agua en redes basado en análisis avanzado de Caudales Mínimos Nocturnos (CMN). VI Jornadas de Ingeniería del Agua, 23-24 de Octubre, 2019. Toledo, España.

32. Salazar, F., San Mauro, J., Vicente D. J., Irazábal, J., Baena, C., Granell, C. and Oñate, E. (2018). Arch Dam Geometry Generator. 9th Convention on Advances and Applications of GiD. 06/06/2018. Barcelona, Spain.

33. Caballero, F.J., San Mauro, J., Toledo, M.Á., Morán, R., Salazar, F., Moreno, E. A new evolution on the wedge-shaped block for overtopping protection of embankment dams: the ACUÑA block. 3rd Int.Conference on Protection against Overtopping, 6-8 June 2018, UK

34. Larese, A., Salazar, F., San Mauro, J., Oñate, E., Toledo, M.Á., Morán, R. Advanced computational methods for dam protections against overtopping. 3rd International Conference on Protection against Overtopping, 6-8 June 2018, UK

35. Salazar, F., Crookston, B.M., Application of machine learning in the analysis of arced labyrinth weirs. 5° IAHR Europe Congress, 12-14 June, 2018, Trento, Italy.

36. Larese, A., Salazar, F., Iaconeta, I, Rossi, R., Oñate, E., Particle methods for the simulation of free surface flows. 5° IAHR Europe Congress, 12-14 June, 2018, Trento, Italy.

37. Irazábal, J., Salazar, F., Oñate, E. Advances in the modelling of railway ballast using the Discrete Element Method (DEM). 4th International Conference in Railway Technology. 3-7 September 2018. Sitges, Barcelona, Spain

38. Irazábal, J., Salazar, F., Celigueta, M.Á., Latorre, S., Oñate, E. Design and validation of rockfall protection systems by numerical modeling with discrete elments. 6th Interdisciplinary Workshop on Rockfall Protection. Barcelona, Spain, 22-24 May, 2017

39. Vicente, D. J., Sánchez R., Garrote, L. and Salazar F. (2017). A Decision Support System to estimate the benefits of pressure management in water distribution systems. IWA 8th Eastern European Young Water Professionals Conference. 26/06/2017. Budapest, Hungary

40. Salazar, F., Toledo, M. Á. and Vicente D. J. (2017). A systematic assessment of the influence of geometry and materials properties on the behavior of arch dams. International Benchmark Workshop on Numerical Analysis of Dams. 06/09/2017. Stockholm, Sweden.

41. Salazar, F., San Mauro, J., Vicente, D. J., Baena, C., Gracia, L. and de-Pouplana, I. (2017). Computer-aided design and analysis of arch dams. International Benchmark Workshop on Numerical Analysis of Dams. 06/09/2017. Stockholm, Sweden.

42. Gracia, L., de-Pouplana, I., Salazar, F., Oñate, E. (2017). Static and Seismic Analysis of the Janneh  Arch-gravity Dam. Theme B – 14th International Benchmark Workshop on the Numerical Analysis of Dams, Stockholm, Sweden, September 2017

43. de-Pouplana, I., Gracia, L., Salazar, F., Oñate, E. (2017). Cracking of a concrete arch dam due to seasonal temperature variations. Theme A – 14th International Benchmark Workshop on the Numerical Analysis of Dams, Stockholm, Sweden, September 2017

44. Irazábal, J., Salazar, F., Oñate, E. Shape characterization of railway ballast stones for discrete element calculations. IV International Conference on Particle Based Methods. 26-28 September, 2017, Hannover, Germany

45. Irazábal, J., Salazar, F., Celigueta, M.Á., Latorre, S., Oñate, E. Numerical modelling with discrete elements of rockfall protection systems. IV International Conference on Particle Based Methods. 26-28 September, 2017, Hannover, Germany

46. Arcos A., Arcos J.L., Fernández-Centeno M.A., González-Galindo J., Gordo C., Manget C., Salazar F., Senent S. Aula Invertida en la Ingeniería del Terreno Asistida por Ordenador. IV Congreso Internacional Sobre Aprendizaje, Innovación y Competitividad, 4-6 Octubre, 2017, Zaragoza, España.

47. Vicente, D. J., Sánchez R., Garrote, L. and Salazar F. (2017). Sistema de Ayuda a la Decisión para el diseño de planes de gestión de presiones y la estimación de fugas en redes de distribución de agua urbana. V Jornadas de Ingeniería del Agua, 25 Octubre 2017, Universidade da Coruña.

48. San Mauro, J.; Salazar, F.; Morán, R.; Peraita, J.; Toledo, M. A.; Conde, MJ; Flórez, V; Labalde, B; Alcalde, F; Aliviaderos con cajeros altamente convergentes. ¿Posible solución para la presa de Oroville?,V Jornadas de Ingeniería del Agua, 25 Octubre 2017, Universidade da Coruña

49. Caballero, F.J., San Mauro, J., Toledo, M.A, Morán, R., Salazar, F., Monteiro, R. Avances en la tecnología de aliviaderos de bloques en forma de cuña (WSB), V Jornadas de Ingeniería del Agua, 25 Octubre 2017, Universidade da Coruña

50. Larese, A., Salazar, F., Toledo, M.Á., Oñate, E. Advanced numerical solutions for enhancing the safety of zoned rockfill dams in extreme scenarios. International Workshop on overflowing erosion of dams and dikes. 11-14 December, 2017, Aussois, France

51. San Mauro Saiz, J., Larese De Tetto, A., Salazar González, F., Irazábal González, J., Morán Moya, R., & Toledo Municio, M. Á. (2016). Hydraulic and stability analysis of the supporting layer of wedge-shaped blocks. In Protections 2016: 2nd International Seminar on Dam Protection Against Overtopping (pp. 1-10). Colorado State University.

52. Caballero, F. J., Toledo, M. Á., Morán, R., San Mauro, J., & Salazar, F. (2016). Advances in the understanding of the hydraulic behavior of wedge-shape block spillways.  In Protections 2016: 2nd International Seminar on Dam Protection Against Overtopping (pp. 1-10). Colorado State University.

53. Salazar González, F., San Mauro Saiz, J., Larese De Tetto, A., Irazábal González, J., Morán Moya, R., Oñate Ibáñez de Navarra, E., & Toledo Municio, M. Á. (2016). Applications of numerical methods in design and evaluation of overtopping protection systems. In Protections 2016: 2nd International Seminar on Dam Protection Against Overtopping (pp. 1-10). Colorado State University.

54. Latorre, S., Celigueta Jordana, M. Á., Irazábal González, J., Salazar González, F., & Oñate Ibáñez de Navarra, E. (2017). Design and validation of rockfall protection systems by numerical modeling with discrete elements. In 6th Interdisciplinary Workshop on Rockfall Protection: RocExs 2017: Barcelona, Spain, 22-24 May, 2017 (pp. 161-164). International Centre for Numerical Methods in Engineering (CIMNE).

55. Salazar, F., González, J. M., Toledo, M. Á., & OÑATE, E. (2016). A methodology for dam safety evaluation and anomaly detection based on boosted regression trees. In European workshop on structural health monitoring (pp. 39-58).

56. Caballero, F. J., Salazar, F., San Mauro, J., & Toledo, M. Á. (2015). Physical and numerical modeling for understanding the hydraulic behaviour of Wedge-Shaped-Blocks spillways. Dam Protections Against Overtopping and Accidental Leakage, 193.

57. Morera, L., San Mauro, J., Salazar, F., & Toledo, M. Á. (2015). Highly-converging chutes as an overtopping protection for concrete dams: physical and numerical modelling. Dam Protections against Overtopping and Accidental Leakage, 245-257.

58. Salazar, F., San Mauro, J., Oñate, E., & Toledo, M. A. (2015). CFD analysis of flow pattern in labyrinth weirs. Dam Protections against Overtopping and Accidental Leakage, 287.