Muhammad Kasim

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Muhammad Kasim

Postdoctoral Research Assistant

Muhammad Firmansyah Kasim is a postdoctoral research assistant in the Atomic and Laser Physics, and a senior demonstrator in the Physics Computing lab. He obtained his DPhil from John Adams Institute in the University of Oxford. He got his BSc from Institut Teknologi Bandung (ITB) in Indonesia, with Electrical Engineering major. His main interest is to apply techniques from statistics, signal processing, computer science, and machine learning to solve problems in plasma physics.

I am a senior demonstrator in the Physics Computing lab for the first and second year of undergraduate in Oxford Physics department. Other than demonstrating, I am also responsible for the problem scripts revision to reach a higher standard.

I am very keen to learn numerical techniques from statistics, computer science, signal processing, and machine learning to solve problems in plasma physics. Some of the examples from my previous work are:

  • 3D spectrometer. It uses the concept of compressed sensing to obtain more information than the measured data in a spectrometer. It is a patent-pending with number GB1712357.1.
  • Inverting shadowgraphy or proton radiography. I used an optimal transport algorithm to retrieve the object's parameter from a shadowgram or a proton radiogram. Publication:

In my spare time, I do research in optimisation and machine learning. I have a peer-reviewed paper on optimisation that was accepted for the Bayesian Optimization workshop at NIPS 2016: M. F. Kasim and P. A. Norreys, Infinite dimensional optimistic optimisation with applications on physical systems, BayesOpt 2016 and arXiv:1611.05845 (2016).