Modelling and Simulation

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The Modelling & Simulation Group (MSG) at Brunel University aims to advance the theory and practice of M&S by offering a wide range of multidisciplinary expertise including computer science, distributed computing, operational research, analytics, mathematics, information systems and application domains such as healthcare and manufacturing. MSG has capabilities in discrete-event simulation, agent-based simulation, systems dynamics, distributed simulation, continuous simulation, monte carlo simulation and hybrid approaches. We investigate how M&S can be supported by research into high performance computing, e-Infrastructures, Cyberinfrastructures, cloud computing and web-based simulation. Our research is strongly application focused with a track record of successful industrial collaboration that has led to major cost savings through high performance simulation. We also translate cutting edge M&S research into teaching and learning activities at undergraduate and postgraduate levels and students are actively involved in our projects.


(2013) Liu, X., S.J.E. Taylor, N. Mustafee, J. Wang, Q. Gao, and D. Gilbert, Speeding up Systems Biology Simulations of Biochemical Pathways Using Condor. Concurrency Computation Practice and Experience.

(2013) Lord, J., S. Willis, J. Eatock, P. Tappenden, M. Trapero-Bertran, A. Miners, C. Crossan, M. Westby, A. Anagnostou, S. Taylor, I. Mavranezouli, D. Wonderling, P. Alderson, and F. Ruiz, Economic Modelling of Diagnostic and Treatment Pathways in National Institute for Health and Care Excellence Clinical Guidelines: The Modelling Algorithm Pathways in Guidelines (Mapguide) Project. Health Technology Assessment, 17(58): p.1-150.

(2013) Wang, Z., J. Eatock, S. McClean, D. Liu, X. Liu, and T. Young, Modeling Throughput of Emergency Departments Via Time Series: An Expectation Maximization Algorithm. ACM Transactions on Management Information Systems, 4(4).

(2012) Bell, D., S. De Cesare, M. Lycett, S.J.E. Taylor, and N. Mustafee, Service-Oriented Simulation Using Web Ontology. International Journal of Simulation and Process Modelling, 7(3): p.217-227.

(2012) Jahangirian, M., A. Naseer, L. Stergioulas, T. Young, T. Eldabi, S. Brailsford, B. Patel, and P. Harper, Simulation in Health-Care: Lessons from Other Sectors. Operational Research, 12(1): p.45-55.

(2012) Mustafee, N., S. Taylor, K. Katsaliaki, Y. Dwivedi, and M. Williams, Motivations and Barriers in Using Distributed Supply Chain Simulation. International Transactions in Operational Research, 19(5): p.733-751.

(2012) Taylor, S.J.E., S.J. Turner, S. Strassburger, and N. Mustafee, Bridging the Gap: A Standards-Based Approach to OR/MS Distributed Simulation. ACM Transactions on Modeling and Computer Simulation, 22(4).

(2011) Anagnostou, A., J. Eatock, and S.J.E. Taylor, Response to Forsberg Et Al (2011) Managing Health Care Decisions and Improvement through Simulation Modeling: Modeling Versus Modelling. Quality Management in Health Care, 20(3): p.246-247.

(2011) Coughlan, J., J. Eatock, and N. Patel, Simulating the Use of Re-Prioritisation as a Wait-Reduction Strategy in an Emergency Department. Emergency Medicine Journal, 28(12): p.1013-1018.

(2011) Eatock, J., M. Clarke, C. Picton, and T. Young, Meeting the Four-Hour Deadline in an a&E Department. Journal of Health, Organisation and Management, 25(6): p.606-624.

(2011) Jahangirian, M., T. Eldabi, L. Garg, G.T. Jun, A. Naseer, B. Patel, L. Stergioulas, and T. Young, A Rapid Review Method for Extremely Large Corpora of Literature: Applications to the Domains of Modelling, Simulation, and Management. International Journal of Information Management, 31(3): p.234-243.

(2010) Jahangirian, M., T. Eldabi, A. Naseer, L.K. Stergioulas, and T. Young, Simulation in Manufacturing and Business: A Review. European Journal of Operational Research, 203(1): p.1-13.

(2010) Mustafee, N., K. Katsaliaki, and S.J.E. Taylor, Profiling Literature in Healthcare Simulation.Simulation, 86(8-9): p.543-558.

Page last updated: Tuesday 23 September 2014