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Dr Diana Suleimenova

Dr Diana Suleimenova
Research Fellow- Multiscale Migration Prediction

Summary

I am ​a Research Fellow in Multiscale Migration Prediction for the Horizon 2020 projects, namely Verified Exascale Computing for Multiscale Applications (VECMA), HPC and Big Data Technologies for Global Systems (HiDALGO) and IT tools and methods for managing migration FLOWS (ITFLOWS). My​​ research concentrates on migration modelling and verification, validation and uncertainty quantification of multiscale applications deployed on emerging exascale platforms. 

Qualifications

BA in Business Economics, MSc in Information Systems Management and PhD in Computer Science

Newest selected publications

Schweimer, C., Geiger, BC., Wang, M., Gogolenko, S., Mahmood, I., Jahani, A., et al. (2021) 'A route pruning algorithm for an automated geographic location graph construction'. Scientific Reports, 11 (1). pp. 11547. ISSN: 2045-2322

Journal article

Suleimenova, D., Arabnejad, H., Edeling, WN., Coster, D., Luk, OO., Lakhlili, J., et al. (2021) 'Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit'. Journal of Computational Science, 53. pp. 101402 - 101402. ISSN: 1877-7503

Journal article

Groen, D., Arabnejad, H., Jancauskas, V., Edeling, WN., Jansson, F., Richardson, RA., et al. (2021) 'VECMAtk: A Scalable Verification, Validation and UncertaintyQuantification Toolkit for Scientific Simulations'. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379 (2197). pp. 1 - 22. ISSN: 1364-503X Open Access Link

Journal article

Suleimenova, D., Arabnejad, H., Edeling, WN. and Groen, D. (2021) 'Sensitivity-driven simulation development: a case study in forced migration'. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 379 (2197). pp. 1 - 18. ISSN: 1364-503X Open Access Link

Journal article

Mahmood, I., Arabnejad, H., Suleimenova, D., Sassoon, I., Marshan, A., Serrano, A., et al. (2020) 'FACS: A geospatial agent-based simulator for analyzing COVID-19 spread and public health measures on local regions'. Journal of Simulation, in press. pp. 1 - 27. ISSN: 1747-7778 Open Access Link

Journal article
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