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.
Koutsouri A, Petch M, Knottenbelt W, 2021, Performance of the CoinShares Gold and Cryptoassets Index under different market regimes, Cryptoeconomic Systems, Vol:1
Srinivasan P, Subramanian R, Knottenbelt W, 2023, Thinking the GOAT: imitating tennis styles, MIT Sloan Sports Analytics Conference, MIT Sloan Sports Analytics Conference
Matsui T, Al-Ali A, Knottenbelt WJ, 2022, On the Dynamics of Solid, Liquid and Digital Gold Futures, 4th IEEE International Conference on Blockchain and Cryptocurrency (IEEE ICBC), IEEE
et al., 2021, Three gaps for quantisation in learned image compression, New Trends in Image Restoration and Enhancement (NTIRE 2021) (CVPR Workshop), IEEE
et al., 2021, Unstable throughput: when the difficulty algorithm breaks, 2021 IEEE Conference on Blockchain and Cryptocurrency (ICBC 2021), IEEE, Pages:1-5