A globally convergent wind speed estimator for windmill systems. - Romeo Ortega; Fernando Mancilla-David; Fernando Jaramillo (CDC/ECC, 2011)

Minimizing total weighted tardiness and overtime costs for single machine preemptive scheduling. - Fernando Jaramillo; Murat Erkoc (Comput. Ind. Eng., 2017)

Modeling single machine preemptive scheduling problems for computational efficiency. - Fernando Jaramillo; Busra Keles; Murat Erkoc (Ann. Oper. Res., 2020)

Multi-Sensor InSAR Assessment of Ground Deformations around Lake Mead and Its Relation to Water Level Changes. - Mehdi Darvishi; Georgia Destouni; Saeid Aminjafari; Fernando Jaramillo (Remote. Sens., 2021)

DeepAqua: Self-Supervised Semantic Segmentation of Wetlands from SAR Images using Knowledge Distillation. - Francisco J. Peña; Clara Hübinger; Amir Hossein Payberah; Fernando Jaramillo (CoRR, 2023)

DeepAqua: Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data. - Francisco J. Peña; Clara Hübinger; Amir Hossein Payberah; Fernando Jaramillo (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Using Satellite Images And Self-supervised Machine Learning Networks To Detect Water Hidden Under Vegetation. - Ioannis Iakovidis; Zahra Kalantari; Amir Hossein Payberah; Fernando Jaramillo; Francisco Pena Escobar (CoRR, 2025)