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Chatchuea Kimchaiwong


Bachelor of Science in mathematics (Mar 2013 – May 2017)

Mathematics Department, Faculty of Science, Khon Kaen University (KKU)

      • GPA: 3.95 (First Class Honours)
      • Thesis title: Botsko Integral and Its Properties
MSc student of the Mathematics for Real-World Systems CDT programme at the University of Warwick. (Aug 2018 – Oct 2019)
      • Class conferred: MERIT
      • Thesis title: Robust multi-target tracking
        • Supervisor: Dr Jeremie Houssineau
          Co-supervisor: Dr Adam Johansen
        • Abstract :

          For the state space model, filtering is one of the approaches to estimate the state of evolving targets in time from a sequence of observations. The filters in this report are designed for a dynamical system. The target can randomly appear and disappear from the sensor's field of view, and the sensor is imperfect, leading to imprecise measurement, detection failures and false alarms. The considered filters are recursive and based on the random finite set framework, which helps avoid data association complexity. The fillters are the Bernoulli filter andthe PHD filter. The former is used for single-object tracking, while the latter is used for multi-target tracking. However, neither the Bernoulli nor the PHD filter has analytic solutions in general. Thus, both filters' approximations under a linear-Gaussian assumption are derived and referred to as the Bernoulli Gaussian sum filter and the Gaussian mixture PHD filter. Furthermore, the implementation of these filters on real data is also provided in this thesis.

Currently, 1st year PhD student at the MathSys CDTPhD student of the Mathematics for Real-World Systems CDT programme at the University of Warwick. (Oct2020 – Present time)
      • Supervisor: Dr Jeremie Houssineau
        Co-supervisor: Dr Adam Johansen
      • The idea of thesis: Applying data assimilation with a new approach defining uncertainty to weather forecasting problem
        • Abstract for the annual retreat (mid-year progress for 1st year PhD) :
Many parameter estimation problems are considered under the probability framework from uncertainty caused by the randomness of a parameter of interest. However, there is another type of uncertainty which is from a lack of knowledge. This type of uncertainty needs to be treated differently. Thus, a deterministic uncertain variable and outer probability measure is applied to this case. The application to the scenario having a mixture of two types of uncertainty in a dynamical system will be shown. Moreover, the advantage compared to the traditional method will be highlighted in two perspectives: the credibility of a situation when information is not well-provided and useful information for model selection using Bayes factor.

Area of interest

    • Data Assimilation
    • Monte Carlo method
    • Weather forecast problem
    • Bayesian inference and decision theory


  • Doing an internship at Hydro-Informatics Institute (HII) from 6 November 2019 to 28 February 2020.
  • Training in 4 sections
    • Telemetry section
    • Climate and Weather section
    • Hydro Data Science section
    • Hydro Informative Modelling System Section


Development and Promotion of Science and Technology (DPST) scholarship (Mar 2013 – May 2017)
      • Covering all needed materials and resources for studying Mathematics from B.Sc. to PhD in Thailand.
Royal Thai Government Scholarship (Ministry of Science and Technology) (Aug 2019 – )
      • to pursue Master Degree and Doctoral Degree abroad in Mathematics
      • Only 1 scholarship belongs to Hydro and Agro Informatics Institute (HII) that year


Hobbies :

  • Singing (used to join choir club before),
  • Reading cartoon (One piece, Hunter x Hunter, Jujutsu Kaisen, Solo levelling and many others, you can talk with me about this)
  • Collecting Pokemon stuff
  • Playing game (terraria, PvZ2, Solo knight)
  • Travelling

Contact details:

Office: D.104, Complexity Science, Zeeman Building.


Telephone : 073 99196959