Taimur Khan

Contact / Address

Taimur Khan
Data Scientist

Department Community Ecology (Biozönoseforschung)
Helmholtz-Zentrum
für Umweltforschung - UFZ
Theodor-Lieser-Str. 4
06120 Halle, Germany

Tel: 0341 235 5532
taimur.khan@ufz.de

LinkedIn

Taimur Khan

Main Focus

Application of high-performance computational tools and techniques for organizing and analyzing large amounts of environmental/earth data to answer increasingly complex questions through statistical and process modeling.

Kooperationen / Projekte | Co-operations / Projects

Current Projects:

Biodiversity Digital Twin (BioDT)

DeepTrees

Working Group

Macroecology and Vegetation Science

Selected Works

IASDT-Workflows: Data workflows for the Invasive Alien Species Digital twin
DeepTrees: Deep-Learning based spatiotemporal tree inventorying and monitoring from public orthoimages.
IASDT-Dataserver: Data server for interfacing data stored in LUMI-O
Halle Treecrowns: Deep-learning based modeled tree counts in the city of Halle (Saale) (w/ web interface)
Metalabel: Semantic labels for tabular data
OPeNDAP Data Catalog: Containerized template for serving grid and sequence datasets with OPeNDAP
Snakemake Cookiecutter: Workflow template for Snakemake



Workshops

Designing Dynamic Data Driven Digital Twins in Ecology @ ECEM23
Processing JSON in R @ Internal


Publications

  • Khan, T., Koning, de K., Endresen, D., Chala, D., Kusch, E. (In-Review) TwinEco: A Unified Framework for Dynamic Data-Driven Digital Twins in Ecology. Ecological Modeling. Pre-print DOI:
  • Taubert, F., Rossi, T., Wohner, C., Venier, S., Martinovič, T., Khan, T., ... & Banitz, T. (2024). Prototype Biodiversity Digital Twin: grassland biodiversity dynamics. Research Ideas and Outcomes, 10, e124168. DOI: https://doi.org/10.3897/rio.10.e124168
  • Khan, T., El-Gabbas, A., Golivets, M., Souza, A., Gordillo, J., Kierans, D., & Kühn, I. (2024). Prototype Biodiversity Digital Twin: Invasive Alien Species. Research Ideas and Outcomes, 10, e124579. DOI: https://doi.org/10.3897/rio.10.e124579
  • Khan, T., Banitz, T., Golivets, M., Grimm, V., Groeneveld, J., Kühn, I., Taubert, F. (2022). Prototyping a Biodiversity Digital Twin. Helmholtz-UFZ Science Days 2022. DOI: https://doi.org/10.5281/zenodo.8079131
  • Morche, D., Baewert, H., Schuchardt, A., Faust, M., Weber, M., & **Khan, T.** (2019). Fluvial sediment transport in the proglacial Fagge river, Kaunertal, Austria. Geomorphology of Proglacial Systems (pp. 219-229). Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-94184-4_13
  • Khan, T. (2017). DC Resistivity: Estimating pore moisture distribution and mapping permafrost content in Kaunertal, Austria. Department of Geosciences. Skidmore College.