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.



Harrison PG, Patel NM, Knottenbelt WJ, et al., 2016, Energy--Performance Trade-Offs via the EP Queue, Acm Transactions on Modeling and Performance Evaluation of Computing Systems, Vol:1, ISSN:2376-3639, Pages:1-31

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


Zamyatin A, Wolter K, Werner S, et al., Swimming with fishes and sharks: beneath the surface of queue-based ethereum mining pools, 25th Annual Meeting of the IEEE International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems, IEEE

Pesu T, Knottenbelt WJ, 2017, Optimising hidden stochastic PERT networks, Pages:133-136

Haughian G, Osman R, Knottenbelt WJ, et al., 2016, Benchmarking Replication in Cassandra and MongoDB NoSQL Datastores, 27th International Conference on Database and Expert Systems Applications (DEXA), SPRINGER INT PUBLISHING AG, Pages:152-166, ISSN:0302-9743

More Publications