Diego Restrepo-Leal

Spatial Data Fusion and Machine Learning Bias Correction for Convection-Permitting Atmospheric Downscaling and Multi-Criteria Site Feasibility Mapping in Complex Coastal Terrains

High-resolution atmospheric modeling over topographically complex coastal zones requires multi-source spatial data fusion to bridge the scale gap between satellite-assimilated global reanalysis and localized boundary layer dynamics. This study presents a spatial data fusion frame...

Edge-Optimized Reservoir Computing for Forecasting Complex Ecological Systems: Predicting Fishery Collapse with Incomplete Data

Monitoring landings in data-scarce fisheries is hampered by short, noisy series and multi-year reporting gaps. We benchmark Echo State Networks (ESNs) against SARIMA, LightGBM, and LSTM models and against naïve and seasonal-naïve persistence, for one-step-ahead forecasting of the...