This image shows Ran Wei

Ran Wei

Dr. rer. nat.

Scientific Assistant
Institute for Modelling Hydraulic and Environmental Systems
Dept. of Stochastic Simulation and Safety Research for Hydrosystems, SimTech

Contact

Pfaffenwaldring 5a
70569 Stuttgart
Room: 2.01

  1. 2025

    1. Becker S, Dang TT, Wei R, Kappler A. Evaluation of Thiobacillus denitrificans’ sustainability in nitrate-reducing Fe(II) oxidation and the potential significance of Fe(II) as a growth-supporting reductant. FEMS Microbiol. Ecol. [Internet]. 2025 Apr;101. Available from: https://doi.org/10.1093/femsec/fiaf024
    2. Wei R, Le AV, Liu B, Azari M, Nowak W, Kappler A, et al. Modeling the Ammonium Removal Processes in Household Sand Filters. In: Geophys. Res. Abstr. Vienna: EGU General Assembly 2025; 2025.
  2. 2023

    1. Bayer T, Wei R, Kappler A, Byrne JM. Cu(II) and Cd(II) Removal Efficiency of Microbially Redox-Activated Magnetite Nanoparticles. ACS Earth Sp. Chem. 2023 Oct;7:1837–47.
  3. 2022

    1. Wei R, Escher BI, Glaser C, König M, Schlichting R, Schmitt M, et al. Modeling the Dynamics of Mixture Toxicity and Effects of Organic Micropollutants in a Small River under Unsteady Flow Conditions. Environ. Sci. Technol. 2022 Sep;56:14397–408.
  4. 2021

    1. Wei R. Modeling combined with fieldwork on surface water quality: the sources and fate of mixture effects under unsteady flow. In: Integrated Hydrosystem Modeling Conference. Tübingen, Germany: Integrated Hydrosystem Modeling Group; 2021.
    2. Schmitt M, Wack K, Glaser C, Wei R, Zwiener C. Separation of photochemical and non-photochemical diurnal in-stream attenuation of micropollutants. Environ. Sci. Technol. 2021 Jun;55:8908–17.

07/2011 B.Sc. Environmental Engineering, Hunan Agricultural University, China
03/2012 Exchange Environmental Engineering, Wrocław University of Environmental and Life Sciences, Poland
05/2018 M.Sc. Environmental Engineering, University of Colorado Boulder, U.S.A
Since 09/2018 Ph.D. Candidate, Geoscience / Research Training Group ‘Integrated Hydrosystem Modeling’, University of Tübingen
Since 03/2024 Postdoc, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

Surrogate modeling
Bayesian inference and calibration
Active learning
Reactive transport models
Machine learning for scientific computing

Project: Surrogate Modeling Coupled With Bayesian Active Learning Evaluated Using Information Theory Metrics for Computationally Expensive Sediment Transport Models

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