Imperial College London

ProfessorWilliamKnottenbelt

Faculty of EngineeringDepartment of Computing

Professor of Applied Quantitative Analysis
 
 
 
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Contact

 

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

 
 
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Location

 

E363ACE ExtensionSouth Kensington Campus

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Summary

 

Summary

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.

Publications

Journals

Stewart I, Ilie D, Zamyatin A, et al., 2018, Committing to Quantum Resistance: A Slow Defence for Bitcoin against a Fast Quantum Computing Attack., Iacr Cryptology Eprint Archive, Vol:2018, Pages:213-213

Conference

Zamyatin A, Stifter N, Judmayer A, et al., 2018, (Short Paper) A Wild Velvet Fork Appears! Inclusive Blockchain Protocol Changes in Practice., Pages:87-87

Mora SV, Knottenbelt WJ, 2017, Deep Learning for Domain-Specific Action Recognition in Tennis, 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Pages:170-178, ISSN:2160-7508

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

Zamyatin A, Wolter K, Werner S, et al., 2017, Swimming with Fishes and Sharks: Beneath the Surface of Queue-based Ethereum Mining Pools, 25th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), IEEE COMPUTER SOC, Pages:99-109, ISSN:1526-7539

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