Dr Diana Suleimenova
Lecturer in Computer Science
Summary
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
Harbach, LM., Suleimenova, D., Xue, Y., Yudin, Y., Groen, D., Tornieri, G., et al. (2026) 'Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool', inLecture Notes in Computer Science. Springer Nature Switzerland. , 16787 LNCS. pp. 87 - 94. ISBN 13: 9783032299086.
Ghorbani, M., Suleimenova, D., Harbach, L., Mazumdar, P., Paramanathan, N., Severino, R., et al. (2026) 'Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology', inLecture Notes in Computer Science. Springer Nature Switzerland. , 16788 LNCS. pp. 509 - 524. ISBN 13: 9783032299147.
Matarova, T. and Suleimenova, D. (2026) 'Satellite-Based Conflict Damage Detection: Siamese CNNs for Forced Displacement Planning in Ukraine', inLecture Notes in Computer Science. Springer Nature Switzerland. , 16788 LNCS. pp. 58 - 72. ISBN 13: 9783032299147.
Malčić, I., Groen, D., Krzhizhanovskaya, V. and Suleimenova, D. (2026) 'Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine'. Springer Nature Switzerland. pp. 43 - 57. ISSN: 0302-9743
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