This image showsWaqas Ahmed

Waqas Ahmed

M.Sc.

PhD Student
Institute for Modelling Hydraulic and Environmental Systems
Dept. of Stochastic Simulation and Safety Research for Hydrosystems

Contact

Pfaffenwaldring 5a
70569 Stuttgart
Room: 2.31

  1. 2026

    1. Nowak W, Ahmed W, Buccini E. How far can we stretch big-data ideas with limited data? Machine-learned groundwater level predictions at a continental scale with smaller and smaller data sets. In: Geophys. Res. Abstr. Vienna: EGU General Assembly 2026; 2026.
    2. Ahmed W, Khan AQ, Nowak W. Making surrogates robust against model misspecification: A residual-aware combination of Gaussian processes and U-Net architectures. In: Geophys. Res. Abstr. Vienna: EGU General Assembly 2026; 2026.
  2. 2025

    1. Jamali S, Punthakey JF, Ahmed W, Qureshi AL, Raheem A, Mitchell M, et al. Groundwater modelling assessment of a coastal agriculture climate change adaptation strategy incorporating green infrastructure: An Indus Delta case study. Groundwater for Sustainable Development [Internet]. 2025;30:101484. Available from: https://www.sciencedirect.com/science/article/pii/S2352801X25000815
  3. 2024

    1. Ahmed W, Ahmed S, Punthakey JF, Dars GH, Ejaz MS, Qureshi AL, et al. Statistical Analysis of Climate Trends and Impacts on Groundwater Sustainability in the Lower Indus Basin. Sustainability. 2024 Jan;16:441.

12/2010 B.E Civil Engineering, NEDUET Karachi, Pakistan
03/2014 M.Sc. Water Resources Engineering and Management, University of Stuttgart
03/2014-01/2015 Scientific Assistant, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart
07/2015-02/2023 Assistant Professor, Mehran UET, Jamshoro, Pakistan
Since 02/2023 PhD Student, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

Improving machine learning and space-time geostatistics methods for interpolation

Project: Estimating Groundwater Levels at Multiple Scales in Data-Scarce Regions by Combining Data, Geostatistics, and Physics

To the top of the page