Skip to main content Skip to navigation

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, 3rd year PhD student in 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
        • The poster from the annual retreat at 3rd year PhD
        • Title: Ensemble Kalman filtering with an alternative representation of uncertainty

        • Abstract: In high-dimensional non-linear uncertainty quantification problems, much of the uncertainty is epistemic in nature, i.e. it comes from a lack of knowledge rather than from random perturbations. We introduce a version of the ensemble Kalman filter based on a dedicated representation of epistemic uncertainty, demonstrate its performance on both linear and non-linear filtering problems and show how it helps formulate standard heuristics such as localisation in a principled way.

Area of interest

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


  • Did an internship at Hydro-Informatics Institute (HII) from 6 November 2019 to 28 February 2020.
  • Training in 4 sections
    • Telemetry section: collect the real-time data which is related to climate and water

    • Climate and Weather section: forecast short-term weather (7 days), seasonal weather and bias correct the rain data from satellite

    • Hydro Data Science section: preprocess the data, gather the data from other sources and visualize the data to be a form that is easier to understand

    • Hydro Informative Modelling System Section: predict any information that is related to water in Thailand and bias correct rain data from radar

For more information, follow the website:

  • Teaching
    • 2021-2022:
      • Term 1: Teaching Assistant for MA241(Combinatorics)
    • 2022-2023:
      • Term 1: Teaching Assistant for MA241(Combinatorics)
  • Activity
    • member of the Warwick SIAM-IMA Student Chapter 2022-2023
      • It is the student organization providing weekly seminars related to mathematics and holding mathematics events
      • working as a treasurer in the chapter


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 a Master's Degree and Doctoral Degree abroad in Mathematics
      • Only 1 scholarship belongs to Hydro and Agro Informatics Institute (HII) that year


Hobbies :

  • Specialized in cooking, especially Thai cuisine
  • Singing (used to join choir club before),
  • Reading cartoon (One piece, Hunter x Hunter, Jujutsu Kaisen, Solo levelling and others)
  • Collecting Pokemon stuff
  • Playing games (terraria, PvZ2, Solo knight)
  • Travelling

Contact details:

Office: D1.02, Complexity Science, Zeeman Building.