Imperial College London


Faculty of EngineeringDepartment of Computing

Professor of Applied Quantitative Analysis



+44 (0)20 7594 8331w.knottenbelt Website




371Huxley BuildingSouth Kensington Campus





My broad area of research interest is the application of mathematical modelling techniques to real life systems. Specific areas of interest include, but are not limited to, modelling and optimisation in parallel queueing systems (especially split-merge and fork-join systems), modelling of storage systems, stochastic modelling of sport, stochastic modelling of healthcare systems, resource allocation and control in cloud-computing environments, numerical solution of (semi-)Markov models and specification techniques for SLA specification, compliance prediction and monitoring.


Tsimashenka I, Knottenbelt WJ, Harrison PG, 2016, Controlling variability in split-merge systems and its impact on performance, Annals of Operations Research, Vol:239, ISSN:0254-5330, Pages:569-588

McGinn D, Birch D, Akroyd D, et al., 2016, Visualizing Dynamic Bitcoin Transaction Patterns, Big Data, Vol:4, ISSN:2167-6461, Pages:109-119

Harrison PG, Patel NM, Knottenbelt, 2016, Energy–performance trade-offs via the EP-queue, Acm Transactions On Modeling and Performance Evaluation of Computing Systems, Vol:1, ISSN:2376-3647

Kelly J, Knottenbelt WJ, 2016, Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature., Corr, Vol:abs/1605.00962

Wu H, Seidenst├╝cker D, Sun Y, et al., 2015, An Optimal Offloading Partitioning Algorithm in Mobile Cloud Computing., Corr, Vol:abs/1510.07986

More Publications