Google scholar profile

News about my work

  • “From models of galaxies to atoms, simple AI shortcuts speed up simulations by billions of times”, Science Magazine, 2020.

Selected publications

Peer-reviewed journals

  • M. F. Kasim, T. P. Galligan, J. Topp-Mugglestone, G. Gregori, S. M. Vinko, Inverse Problem Instabilities in Large-Scale Plasma Modelling, Phys. Plasmas, 2019, and arXiv:1805.08301, 2018.
  • M. F. Kasim, J. S. Wark, S. M. Vinko, Validating Continuum Lowering Models via Multi-Wavelength Measurements of Integrated X-ray Emission, Sci. Rep. 8 (1), 6276, 2018.
  • M. F. Kasim, L. Ceurvorst, N. Ratan, J. Sadler, A. Savert, et al., Quantitative shadowgraphy and proton radiography for large intensity modulations, Phys. Rev. E 95, 023306 & arXiv:1607.04179, 2016.
  • N. F. Y. Chen, M. F. Kasim, L. Ceurvorst, N. Ratan, J. Sadler, et al., Machine learning applied to proton radiography, Phys. Rev. E 95, 043305 & arXiv:1608.05582, 2016.
  • M. F. Kasim, J. Holloway, L. Ceurvorst, M. Levy, N. Ratan, et al., Quantitative single shot and spatially resolved plasma wakefield diagnostics, Phys. Rev. ST Accel. Beams 18, 081302, 2015.
  • M. F. Kasim, N. Ratan, L. Ceurvorst, J. Sadler, P. N. Burrows, et al., Simulation of density measurements in plasma wakefields using photon acceleration, Phys. Rev. ST Accel. Beams 18, 032801, 2015.

Peer-reviewed conferences/workshops

  • M. F. Kasim and P. A. Norreys, Infinite dimensional optimistic optimisation with applications on physical systems, Bayesian Optimization Workshop at NIPS & arXiv:1611.05845, 2016. (poster)
  • M. F. Kasim, T. Adiono, M. Fahreza, M. F. Zakiy, FPGA Implementation of Fixed-Point Divider Using Pre-Computed Values, ICEEI, 2013.
  • M. F. Kasim, T. Adiono, M. Fahreza, M. F. Zakiy, Real-time Architecture and FPGA Implementation of Adaptive General Spectral Substraction Method, ICEEI, 2013.

Invited talks

  • Building high fidelity emulators with deep emulator network search, ClimateChange.ai workshop at International Conference on Learning Representation (ICLR), 29 April 2020. (presentation, recording)
  • Accelerating scientific simulations with deep emulator network search, Perth Machine Learning Group, 9 April 2020.
  • Accelerating scientific simulations with deep emulator network search, Michaelmas FoaLab talks, 8 November 2019.
  • Compressed sensing and machine learning in medical physics, weekly seminar at Universitas Indonesia, 11 January 2019.
  • Optimal transport in proton radiography and shadowgraphy, Plasma Physics group seminar at Imperial College London, 7 March 2018.