University Teaching

• 2025- International University of La Rioja (UNIR). Subject: “Artificial Intelligence and Knowledge Engineering”. BSc in Computer Engineering.

• 2019-2024. Erasmus Mundus EUROAQUAE+ Master Course by Universitat Politècnica de Catalunya (UPC). Subject: “Machine Learning in Decision Support Systems”.

• 2016-2019. MSc in Civil Engineering. Technical University of Madrid (UPM). Subject: “Engineering Drawing”.

Supervision of PhD Thesis

• Joaquín Irazábal. “Numerical analysis of railway ballast behaviour using the Discrete Element Method”. UPC Barcelona Tech,. 2017. XVI TALGO Innovation Award. Unofficial supervisor. 

• Javier San Mauro. “Wedge-Shaped Block Spillway Design”. ETSICCP, UPM.  González Cruz Prize for the best PhD thesis in hydraulic and dam engineering at UPM. Unofcicial supervisor. 2018 

• Nathalia Silva-Cancino. "Evaluation of potential hazard due to off-stream reservoir failure using machine learning techniques". UPC Barcelona Tech. 2024. Co-supervisor.

• Sergio López-Chacón. "Enhanced short-term prediction of high streamflow combining physically based and machine learning models". UPC Barcelona Tech. 2026 (expected). Co-supervisor

Supervision of Research Stays

• Rocío L. Segura (Santa Clara University, USA). 1/7/2023-31/7/2023. Severo Ochoa Incoming Mobility Programme for researchers. Research on the application of machine learning as surrogate models in the context of uncertainty quantification in dam safety assessment. Prof. Segura delivered a Severo Ochoa Seminar with the title "Parameterized seismic fragility functions for gravity dams: An approach including the effect of updated model parameter knowledge".

• Christian Tutivén (ESPOL, Ecuador). 29/5/2024-31/7/2024. Research on the use of deep learning in dam structural health monitoring. Submitted contribution to 16th International Workshop on Advanced Smart Materials and Smart Structures Technology & 4th ZHITU Symposium on Advances in Civil Engineering. Scientific article under review (see above).

• Caterina Nogara (Politécnico di Milano). 6/5/2024-31/7/2024 Research on unsupervised machine learning methods for anomaly detection and localization in dams. Contribution presented at the 17th Benchmark Workshop on Numerical Analysis of Dams (Sophia, Bulgaria, April 2025). Scientific article under review (see above).

• Christian Galarza (ESPOL, Ecuador). 1/10/2024-18/10/2024. Exploration of opportunities for collaboration on the application of machine learning and artificial intelligence on projects DOLMEN and DIGIT4WATER.

• Frosina Panovska (Faculty of Civil Engineering - Skopje).  29/11/2025-6/12/2025. Research on the application of machine learning and computational methods in dam safety assessment in the framework of the DAMSHAI Project: Dam Structural Heatlh Monitoring and Safety Assessment with an AI-driven framework.

Courses, Talks and Seminars

• CIMNE Winter School. Lecture on Practical Machine Learning. January 28th, 2022.

• Severo Ochoa Coffee Talk. “Public-Private Collaboration. News of the 2022 call”. January 25th, 2023.

• Severo Ochoa Coffee Talk. "ACROPOLIS: Classification of off-stream reservoirs against potential risk combining GIS and Machine Learning". December, 14th, 2022.

• Café CIMNE: “Public-Private Collaboration Projects (formerly Collaboration Challenges). A great opportunity to finance applied research”. 24/11/2021

• CIMNE Coffee Talk: "Get to know Horizon Europe and the new CIMNE´s Preaward Unit". 21/4/2021

• CIMNE Seminar: “Machine learning: an engineering perspective and some applications in combination with numerical modelling”. 14/07/2021

• CIMNE Seminar: “Challenge 3. Design of tools to predict episodes of exceeding ozone concentration limits”. 17/02/2022.