Kontakt
Pfaffenwaldring 5a
70569 Stuttgart
Raum: 2.31
2026
- Wildt N, Callau Medrano S, Riazi M, Oladyshkin S, Nowak W. Deep arbitrary Polynomial Chaos Expansion ODE for Hydrological System Modeling: It is all about that Basis. Bologna, Italy: 26th International Conference on Computational Methods in Water Resources (CMWR); 2026.
- Callau Medrano S, Nowak W, Oladyshkin S, Seidel J. Let the data speak: Catchment as non-autonomous dynamical systems via a modulated storage-discharge function. Bologna, Italy: 26th International Conference on Computational Methods in Water Resources (CMWR); 2026.
- Callau Medrano S, Nowak W, Oladyshkin S, Seidel J. Let the data speak: Catchments as non-autonomous dynamical systems via a modulated storage–discharge function. In: Geophys. Res. Abstr. EGU General Assembly 2026; 2026.
2023
- Callaú Medrano S, Satgé F, Molina-Carpio J, Zolá RP, Bonnet M-P. Downscaling daily satellite-based precipitation estimates using MODIS cloud optical and microphysical properties in machine-learning models. Atmosphere. 2023 Aug;14:1349.
- Schwindt S, Callau Medrano S, Mouris K, Beckers F, Haun S, Nowak W, et al. Bayesian calibration points to misconceptions in three-dimensional hydrodynamic reservoir modelling. Water Resources Research. 2023;59:e2022WR033660.
04/2016 Licensure in Civil Engineering, University Mayor de San Simon, Bolivien
12/2020 M.Sc. Water Resources Engineering and Management, Universität Stuttgart
05/2022 – 12/2022 Wissenschaftlicher Mitarbeiter, Institut de Recherche pour le Developpement, Bolivien
Seit 10/2024 Doktorand, Institut für Wasser- und Umweltsystemmodellierung, Universität Stuttgart
Physikbasierte neuronale Netze
Bayes'sche Ansätze
Modellierung von dynamischen Systemen
Projekt: Erkenntnisse über hydrologische Prozesse mittels Deep Learning und Bayesscher neuronaler Hydrologie