Imperial College London


Faculty of EngineeringDepartment of Computing

Professor of Applied Quantitative Analysis



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




E363ACE ExtensionSouth 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.



Knottenbelt W, Wolter K, 2021, Message from the Chairs, Acm Sigmetrics Performance Evaluation Review, Vol:48, ISSN:0163-5999, Pages:2-2


Ilie D, Werner S, Stewart I, et al., 2021, Unstable throughput: when the difficulty algorithm breaks, 2021 IEEE Conference on Blockchain and Cryptocurrency (ICBC 2021), IEEE, Pages:1-5

Koutsouri A, Petch M, Knottenbelt W, 2021, Diversification benefits of commodities for cryptoasset portfolios, 2021 International Conference on Blockchain and Cryptocurrency (ICBC 2021), IEEE, Pages:1-9

Pan S, Finlay C, Besenbruch C, et al., Three gaps for quantisation in learned image compression, New Trends in Image Restoration and Enhancement (NTIRE 2021) (CVPR Workshop), IEEE

More Publications