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Dr Diana Suleimenova
Lecturer in Computer Science

Summary

I am a Lecturer in the Department of Computer Science at Brunel University London. I am a member the Modelling & Simulation Group, the Computer Science for Social Good and the Migration, Asylum and Law research groups. My​​ research concentrates on agent-based modelling, forced displacement prediction, and verification, validation and uncertainty quantification (VVUQ) of multiscale applications deployed on emerging exascale platforms. I worked as 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). Currently, I am a Knowledge Exchange coordinator for the Software Environment for Actionable and VVUQ-evaluated Applications (SEAVEA), which aims to develop an exascale-ready toolkit for VVUQ techniques in application to various domains.

Qualifications

  • PhD in Computer Science "Predicting Forced Displacement using a Generalised and Automated Agent-based Simulation", Brunel University London.
  • MSc in Information Systems Management, Brunel University London.
  • BA in Business Economics, Durham University.

Responsibility

Currently, I am the module leader for a second-year CS2608 Digital Societies module. It is a core module for the Business Computing degree. Moreover, I am a tutor for first-year undergraduate students (CS1704 Group Project  module). I also supervise the CS3072-CS3605 Final year projects and MSc dissertations (CS5500) in the Department of Computer Science.

Newest selected publications

Kardoš, J., Edeling, W., Suleimenova, D., Groen, D. and Schenk, O. (2025) 'Sensitivity analysis of high-dimensional models with correlated inputs'. Journal of Computational Science, 0 (in press, pre-proof). pp. 1 - 18. ISSN: 1877-7503 Open Access Link

Journal article

Groen, D., Suleimenova, D., Xue, Y. and Harbach, L. (2025) 'Forecasting refugee return to Ukraine amid ongoing war and uncertainty'. Place of publication: UNHCR. Available at: https://data.unhcr.org/en/documents/details/117421.Open Access Link

Report

Suleimenova, D., Xue, Y., Tas, A. and Low, W. (2025) 'AI-Enhanced Agent-Based Modelling Approach for Forced Displacement Predictions', in Paszynski, M., Barnard, AS. and Zhang, YJ. (eds.) Lecture Notes in Computer Science. Springer Nature Switzerland. , 15911. pp. 79 - 86. ISBN 10: 3-031-97570-7. ISBN 13: 978-3-031-97569-1. Open Access Link

Book chapter

Jahani, A., Ghorbani, M., Suleimenova, D., Xue, Y. and Groen, D. (2024) 'Enhancing Forced Displacement Simulations: Integrating Health Facilities for Automatically Generated Routes Networks'.2024 Winter Simulation Conference (WSC). Orlando, FL, USA. 15 - 18 December. IEEE. pp. 1163 - 1172. ISSN: 0891-7736 Open Access Link

Conference paper

Xue, Y., Li, M., Arabnejad, H., Suleimenova, D., Jahani, A., Geiger, BC., et al. (2024) 'Many-Objective Simulation Optimization for Camp Location Problems in Humanitarian Logistics'. International Journal of Network Dynamics and Intelligence, 13 (3). pp. 1 - 14.Open Access Link

Journal article
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