Diana Suleimenova
Diana Suleimenova
PhD Researcher, Brunel University London
Bestätigte E-Mail-Adresse bei brunel.ac.uk
Zitiert von
Zitiert von
A generalized simulation development approach for predicting refugee destinations
D Suleimenova, D Bell, D Groen
Scientific reports 7 (1), 1-13, 2017
Mastering the scales: a survey on the benefits of multiscale computing software
D Groen, J Knap, P Neumann, D Suleimenova, L Veen, K Leiter
Philosophical Transactions of the Royal Society A 377 (2142), 20180147, 2019
FACS: a geospatial agent-based simulator for analysing COVID-19 spread and public health measures on local regions
I Mahmood, H Arabnejad, D Suleimenova, I Sassoon, A Marshan, ...
Journal of Simulation, 1-19, 2020
Introducing VECMAtk-verification, validation and uncertainty quantification for multiscale and HPC simulations
D Groen, RA Richardson, DW Wright, V Jancauskas, R Sinclair, ...
International Conference on Computational Science, 479-492, 2019
Building confidence in simulation: Applications of EasyVVUQ
DW Wright, RA Richardson, W Edeling, J Lakhlili, RC Sinclair, ...
Advanced Theory and Simulations 3 (8), 1900246, 2020
Towards an automated framework for agent-based simulation of refugee movements
D Suleimenova, D Bell, D Groen
2017 Winter Simulation Conference (WSC), 1240-1251, 2017
How policy decisions affect refugee journeys in South Sudan: a study using automated ensemble simulations
D Suleimenova, D Groen
SimSoc Consortium, 2020
A Coupled Food Security and Refugee Movement Model for the South Sudan Conflict
CV Campos, D Suleimenova, D Groen
International Conference on Computational Science, 725-732, 2019
Modelling refugees escaping violent events: A feasibility study from an input data perspective
NT Chan, D Suleimenova, D Bell, D Groen
Proceedings of the Operational Research Society 9th Simulation Workshop …, 2018
Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources
S Gogolenko, D Groen, D Suleimenova, I Mahmood, M Lawenda, ...
International Conference on Computational Science, 410-424, 2020
A Route Pruning Algorithm for an Automated Geographic Location Graph Construction
C Schweimer, BC Geiger, M Wang, S Gogolenko, I Mahmood, A Jahani, ...
The impact of uncertainty on predictions of the CovidSim epidemiological code
W Edeling, H Arabnejad, R Sinclair, D Suleimenova, K Gopalakrishnan, ...
Nature Computational Science 1 (2), 128-135, 2021
Coupling Bayesian inference and agent based modeling in the context of refugee movement
K Mezuman, PC Larrauri, U Lall, MJ Puma, D Groen, D Suleimenova
AGU Fall Meeting 2020, 2020
VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification toolkit for Scientific Simulations
D Groen, H Arabnejad, V Jancauskas, WN Edeling, F Jansson, ...
arXiv preprint arXiv:2010.03923, 2020
Model uncertainty and decision making: Predicting the Impact of COVID-19 Using the CovidSim Epidemiological Code
W Edeling, A Hamid, R Sinclair, D Suleimenova, K Gopalakrishnan, ...
Predicting forced displacement using a generalised and automated agent-based simulation
D Suleimenova
Brunel University London, 2020
Towards modelling the effect of evolving violence on forced migration
D Groen, D Bell, H Arabnejad, D Suleimenova, SJE Taylor, A Anagnostou
2019 Winter Simulation Conference (WSC), 297-307, 2019
Building global research capacity in public health: the case of a science gateway for physical activity lifelong modelling and simulation
A Anagnostou, SJE Taylor, D Groen, D Suleimenova, N Anokye, R Bruno, ...
2019 Winter Simulation Conference (WSC), 1067-1078, 2019
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