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.



Gudgeon L, Werner S, Perez D, et al., 2020, DeFi Protocols for Loanable Funds: Interest Rates, Liquidity and Market Efficiency, Aft 2020 - Proceedings of the 2nd Acm Conference on Advances in Financial Technologies, Pages:92-112

Ilie DI, Karantias K, Knottenbelt WJ, 2020, Bitcoin Crypto - Bounties for Quantum Capable Adversaries., Iacr Cryptol. Eprint Arch., Vol:2020, Pages:186-186


Gudgeon L, Werner S, Perez Hernandez D, et al., DeFi protocols for loanable funds: interest rates, liquidity and market efficiency, 2nd ACM Conference on Advances in Financial Technologies (AFT 2020), ACM

Koutsouri A, Poli F, Alfieri E, et al., 2020, Balancing cryptoassets and gold: a weighted-risk-contribution index for the alternative asset space, 1st International Conference on Mathematical Research for Blockchain Economy, Springer Verlag, Pages:217-232, ISSN:0302-9743

Marchenko Y, Knottenbelt WJ, Wolter K, 2020, EthExplorer: A Tool for Forensic Analysis of the Ethereum Blockchain, Pages:100-117, ISSN:0302-9743

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