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.



Dong N, Wang Z, Sun J, et al., 2024, Defending against poisoning attacks in federated learning with blockchain, Ieee Transactions on Artificial Intelligence, ISSN:2691-4581


Srinivasan P, Knottenbelt W, Offline Reinforcement Learning with Behavioral Supervisor Tuning, 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)

Sönmez FÖ, Knottenbelt WJ, 2024, ContractArmor: Attack Surface Generator for Smart Contracts, Pages:8-15

Xiong X, Wang Z, Knottenbelt W, et al., 2023, Demystifying Just-in-Time (JIT) liquidity attacks on Uniswap V3, 2023 5th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), IEEE, ISSN:2835-3021

Wang Z, Cirkovic M, Le D, et al., 2023, Pay less for your privacy: towards cost-effective on-chain mixers, 5th ACM Conference on Advances in Financial Technologies (AFT 2023), Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik, Pages:16:1-16:25, ISSN:1868-8969

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