PhD
Ongoing
- 2025. Patricio Luna: Ecuador.Towards a Digital Twin for a mountainous catchment: An integrated framework for data assimilation and uncertainty quantification using deep learning.
Master
Ongoing
- 2025-2027. Danny Aucapiña: Ecohydrological vulnerability and resilience of a páramo catchment under climate stress: a bottom-up modeling approach.
- 2024-2026. Togzhan Tangbay: Uncertainty-aware hydrological forecasting using satellite precipitation and probabilistic machine learning. MSc. programme in Water Resources Engineering, Belgium.
Graduated
- 2022-2024. Patricio Luna: Assessing the Effectiveness of the Three-Cornered Hat Method for Satellite Precipitation Data Fusion and its Impact on Runoff Forecasting. Article under review. Master program in Hydrology, Ecuador.
- 2022-2024. Mateo Vélez: Advancing timely satellite precipitation for IMERG-ER using GOES-16 data and a U-net convolutional neural network modelling approach. Article published. Master program in Hydrology, Ecuador.
- 2021-2023. Julio Álvarez: Enhancing peak runoff forecasting through feature engineering applied to X-band radar data. Article published. Master program in Hydrology, Ecuador.
Undergraduate
Graduated
- 2024. Josué Muñoz: Reducing latency in satellite-based precipitation estimates using GOES-16 and machine learning. Article published. Civil Engineering, Ecuador.