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Staff Profile

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Dr. Cynthia Kon Mui Lian

Lecturer
BSc (Hons) (USM), MSc, PhD (UNIMAS)

Faculty of Engineering, Computing and Science

Office No:+60 82 260 653
Fax No:+60 82 260 813
Room No: E322
Email: ckon@swinburne.edu.my
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Biography

Dr. Cynthia Kon is a mathematician whose research interest is in the computational modeling of dynamical systems. Her research focuses on modeling the spread of infectious diseases.

Her PhD dissertation topic was on formulating a generic model for the transmission of mosquito-borne diseases based on reaction-diffusion equations.

She received her BSc (Hons) in Mathematics from Universiti Sains Malaysia, MSc in Computational Science, and a PhD in Computer Science from Universiti Malaysia Sarawak.

Dr. Kon has extensive teaching experience in Mathematical undergraduate studies. She currently teaches Engineering Mathematics at Swinburne University of Technology (Sarawak).

Research Interests

  • Mathematical Modeling
  • Dynamical Systems
  • Mathematical Biology
  • Ordinary and Partial Differential Equations
  • Computational Methods

Professional Memberships

  • Golden Key International Honour Society

PhD/Master by Research Opportunity

Potential research higher degree candidates are welcome to enquire about postgraduate opportunities in the areas listed above. Please e-mail ckon@swinburne.edu.my for more information.

Awards

  • Best Poster, “A general spatial-temporal transmission model for mosquito-borne infectious diseases”, International Congress of Women Mathematicians (ICWM 2014)

  • Silver Award, “Comparison of Simulated Malaria Transmission Model with Acquired Immunity with Malaria Cases in Malaysia”, R&D EXPO, UNIMAS, 2010.

  • Silver Award, “Comparison of Simulated Malaria Transmission Model with Acquired Immunity with Malaria Cases in Malaysia”, 21st International Invention, Innovation and Technology Exhibition, KLCC, Malaysia, 2010.

Publications

  • Tan, L.Z, Kong, J.C, Hii, K.U & Kon, C.M.L (2021). Investigation of MultipleTransceiver System for Free Space Optical Communication, International Journal of Integrated Engineering, 13(2):159-167.

  • Kon, C.M.L & Labadin, J. (2019). Simulating Dengue: Comparison of Observed and Predicted Cases from Generic Reaction-Diffusion Model for Transmission of Mosquito-Borne Diseases, MATEMATIKA: Malaysian Journal of Industrial and Applied Mathematics, 35.

  • Kon, C.M.L. & Labadin, J. (2016). Generic reaction-diffusion model for transmission of mosquito-borne diseases: Results of simulation with actual cases in Proceedings of 30th European Conference on Modeling and Simulation, 2016, Regensburg, Germany, pp. 93-99. ISBN: 978-0-9932440-2-5 / ISBN: 978-0-9932440-3-2 (CD).

  • Kon, C.M.L & Labadin, J. (2016). Simulating the Spread of Malaria Using a
    Generic Transmission Model for Mosquito-Borne Infectious Diseases in Proceedings of 2nd International Conference on Mathematical Sciences and Statistics 2016, AIP Conference Proceedings, 1739, 020052, DOI:http://dx.doi.org/10.1063/1.4952532

  • Labadin, J., Kon, C. M. L. & Juan, S.F.S. (2009). Deterministic Malaria
    Transmission Model with Acquired Immunity, Proceedings of the World Congress on Engineering and Computer Science 2009 Vol II WCECS 2009, October 20-22, 2009, San Francisco, USA, pp.779-784.