J.A. (Alexander) Garzón Díaz
J.A. (Alexander) Garzón Díaz
Contact
Profile
Biography
Alexander Garzón is a PhD candidate at TU Delft’s AIdroLab, working on the application of novel artificial intelligence methods for the modelling and design of urban water networks. His research activity includes adaptation measures for water distribution and urban drainage systems using metamodelling and multi-objective optimization. Leveraging his background in Hydroinformatics and Deep Learning, he is working on bringing the multiple benefits of the latest Machine Learning techniques to the field of urban water resources.
Expertise
Bachelor’s degree in Environmental Engineering with a master's degree in Civil Engineering - emphasis in Water Resources and Hydroinformatics. Both programs done in the University of Los Andes in Bogotá, Colombia.
Expertise
Publications
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2023
Assessing the performances and transferability of graph neural network metamodels for water distribution systems
Bulat Kerimov / Roberto Bentivoglio / Alexander Garzón / Elvin Isufi / Franz Tscheikner-Gratl / David Bernhard Steffelbauer / Riccardo Taormina
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2022
Machine Learning-Based Surrogate Modeling for Urban Water Networks
Review and Future Research Directions
A. Garzón / Z. Kapelan / J. Langeveld / R. Taormina -
Ancillary activities
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2024-04-25 - 2025-11-03