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Portrait of Monchai Kooakachai
Faculty

Monchai Kooakachai

Assistant Professor Doctor of Philosophy
I earned my PhD in Applied Mathematics with a concentration in Statistics and have been part of the Department of Mathematics and Computer Science at Chulalongkorn University since November 2019. My roles consistently combine significant research and teaching responsibilities. I genuinely enjoy working with and mentoring students, and I believe the best way to support their learning is by engaging in meaningful research that enriches and contextualizes my teaching. As a result, I place strong emphasis on both my research and instructional contributions. I also maintain a solid record of service and leadership to my department, the university, and the broader scientific community.
S Scopus® Email
Office
MATH 1008/3
Phone
02-218-7135
Email
Monchai.K@chula.ac.th

Research Areas

Artificial Intelligence and Data Science Operations Research Probability and Statistics
Statistical Methods in Forensic Science including Familial DNA Searches, Simulation by Resampling Methods, Advanced Statistical Methods, Applied Probability

Education

  1. 2019
    Doctor of Philosophy
    Applied Mathematics
    University of Colorado Denver, Denver, CO, USA
  2. 2013
    Master of Science
    Mathematics
    University of Wisconsin-Milwaukee, Milwaukee, WI, USA
  3. 2011
    Bachelor of Science, First Class Honors
    Mathematics
    Chulalongkorn University, Bangkok, Thailand

Publications

  1. [1] Jantaraphum, A., Laoiam, C., Rerkamnuaychoke, B., Shotivaranon, J. & Kooakachai, M. (2026). Incorporating Naive Bayes Classification to Address Subpopulation Structure in Familial DNA Search. Communications for Statistical Applications and Methods. Accepted (In Press)
  2. [2] Naiwikun K. & Kooakachai, M. (2026). Modeling Relegation Risk in the Premier League with Logistic Regression. Thai Journal of Mathematics. Accepted (In Press)
  3. [3] Kooakachai, M., Patarapuripas, P. & Tenzin, R. (2026). A Hybrid EM-FEFI Imputation Strategy for Two-Way Contingency Tables with Incomplete Observations. Proceedings of the International Conference on Applied Statistics 2026 (ICAS 2026). Accepted (In Press)
  4. [4] Jantaraphum, A., Santorico, S. & Kooakachai, M. (2026). Logistic Regression for Robust Familial DNA Analysis Amidst Population Substructure. Lobachevskii Journal of Mathematics, 47(2), 774-795. https://doi.org/10.1134/S1995080225615668 
  5. [5] Kooakachai, M., Gaengaew, P. & Jantai, W. (2026). Proving One-Dimensional Convergence of Trinomial Random Walks Conditioned on End Points via Stein’s Method. AIP Conference Proceedings. 3444(1), 050005 https://doi.org/10.1063/5.0327609
  6. [6] Thaebanpakul, C., Hongjamrassilp, W., Kooakachai, M., Rojanapongpun, P., Tantisevi, V., Manassakorn, A., Chansangpetch, S., Itthipanichpong, R. & Ratanawongphaibul, K. (2026). Clinical Outcomes of Neovascular Glaucoma in Patients with Prior and Non-prior Intravitreal Anti-VEGF Treatment: A Retrospective Cohort Study. Clinical Ophthalmology, 20:612268. https://doi.org/10.2147/OPTH.S612268
  7. [7] Phuemchai, R. & Kooakachai, M. (2026). Hypothesis Tests for Difference in Zero-Truncated Poisson Parameters. In Mathematics for Industrial Applications. Springer Proceedings in Mathematics and Statistics vol 537 (pp. 25-33). https://doi.org/10.1007/978-3-032-17944-9_3
  8. [8] Meecharoenvaranon, P. & Kooakachai, M. (2026). Permutation Tests with Transformations Enhance Power in Percentile Comparisons. International Journal of Mathematics and Computer Science, 21(1) 13-20. https://doi.org/10.69793/ijmcs/01.2026/monchai
  9. [9] Jantaraphum, A. & Kooakachai, M. (2025). Logistic Regression for Mitigating Subpopulation Effects in Familial DNA Search. Proceedings of the 29th Annual Meeting in Mathematics (AMM 2025), 572-590.
  10. [10] Manggon, T., Sumetkijakarn, S., Santiwipanont, S.& Kooakachai, M. (2025). SL-vine Copula Model. Proceedings of the 29th Annual Meeting in Mathematics (AMM 2025), 610-625.
  11. [11] Monnoi, J., Jamrat, S., & Kooakachai, M. (2025). Modeling Volleyball Match Outcomes Using Modified Estimators for the Binomial Parameter. Thai Journal of Mathematics, 23(1), 41–55.
  12. [12] Kabbun, N., Jantai, W., Than, D., & Kooakachai, M. (2025). Stochastic Models for Breaking Large Bills and Coins. Thai Journal of Mathematics, 23(1), 57–71.
  13. [13] Hommai, Y., Kooakachai, M., & Jantai, W. (2025). Some Properties of Two-Dimensional Trinomial Random Walks Conditioned on End Points. Thai Journal of Mathematics, 23(1), 111–128.
  14. [14] Makapawee, P., Kamkongkaew, K., & Kooakachai, M. (2024). Addressing Incomplete Data in Two-way Contingency Tables with Three-Level Variables. In International Conference on Soft Methods in Probability and Statistics (pp. 264-272). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-65993-5_32
  15. [15] Gaengaew, P., Jantai, W., & Kooakachai, M. (2024). Some Properties of a Trinomial Random Walk Conditioned on End Points. Thai Journal of Mathematics, 22(1), 203-216.
  16. [16] Laoiam, C. & Kooakachai, M. (2023). Developing Test Statistics for Familial DNA Searches through Classification Ideas. Proceedings of the 27th Annual Meeting in Mathematics (AMM 2023), 141-152.
  17. [17] Hanmungtham, P. & Kooakachai, M. (2022). Estimation of the Win-Probabilities for Comparing Two Negative Binomial Random Variables. Proceedings of the International Conference in Mathematics and Applications 2022 (ICMA-MU 2022), 25-33.
  18. [18] Kooakachai, M. (2022). Algorithms for the Test of Independence of Two Categorical Variables over Uncertain Data. Thai Journal of Mathematics, 62-74.
  19. [19] Kooakachai, M., LaBerge, G., & Santorico, S. A. (2019). A New Framework to Test Parent-Child and Full Sibling Relationships with Population Substructure. Forensic Science International, 305, 110012. https://doi.org/10.1016/j.forsciint.2019.110012
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