Home / Faculty / Mendoza, Victoria May

Mendoza, Victoria May

Associate Professor
Email Addressvmpaguio@math.upd.edu.ph
RoomMath Building Annex 206
Websitevisit website (external)
Research Interests
Mathematical biology, modeling, optimization
Academic Groups
  • Education
    • Dr.rer.nat. Mathematics (2016)
      Karl-Franzens University of Graz, Austria

      Dissertation: A Model of Vascular Refilling with Inflammation
      Adviser: Univ. Prof. Dr. Franz Kappel

    • MS Applied Mathematics (2011)
      University of the Philippines Diliman

      Thesis: Dynamics of an Inflammation Model using Bifurcation Analysis and the Matrix Lambert \(W\) Function
      Adviser: Prof. Emeritus Polly W. Sy

    • BS Mathematics (2007)
      University of the Philippines Diliman

      Thesis: Existence of Some Graceful Digraphs and Characterization via Cyclic Neofields
      Adviser: Prof. Manuel Joseph Loquias

  • Postdoctoral Fellowships
    • Konkuk University, Seoul, Korea (2022)
  • Teaching

    2nd semester AY 2024-2025

    • Math 171: Introduction to Numerical Analysis
    • Math 235: Mathematics in Population Biology

    1st semester AY 2024-2025

    • Math 171: Introduction to Numerical Analysis
    • Math 180.1: Operations Research I
  • Publications

    Journals

    1. Lee, J., Mendoza, R., Mendoza, V. M. P., and Jung, E. (2025). Differential evolution with spherical search algorithm for nonlinear engineering and infectious disease optimization problems. Appl. Soft Comput., 168, 112446, doi:10.1016/j.asoc.2024.112446.
    2. Mata, M.A.E., Escosio, R.A.S., Rosero, E.V.G.A., Viernes, J.P.T, Anonuevo, L.E., Hernandez, B.S., Addawe, J.M., Addawe, R.C., Pilar-Arceo, C.P.C., Mendoza, V.M.P., and de los Reyes V, A.A. (2024). Analyzing the dynamics of COVID-19 transmission in select regions of the Philippines: A modeling approach to assess the impact of various tiers of community quarantines.
      Heliyon, 10(21), e39330, doi:10.1016/j.heliyon.2024.e39330.
    3. Lim, Y., Ko, Y., Mendoza, V.M.P., Mendoza, R., Lee, J., and Jung, E. (2024). Optimal Non-Pharmaceutical Interventions Considering Limited Healthcare System Capacity and Economic Costs in the Republic of Korea. Math. Model. Nat. Phenom., 19: 6, doi:10.1051/mmnp/2024005.
    4. Castillo, R. C. J., Mendoza, V. M. P., Lope, J. E., and Mendoza, R. (2023). Modeling infectious disease trend using Sobolev polynomials. Commun Biomath Sci, 6(2): 100-107, doi: 10.5614/cbms.2023.6.2.2
    5. Pino, R., Mendoza, V. M. P., Enriquez, E. A., Velasco, A. C., and Mendoza, R. (2023). An optimization model with simulation for optimal regional allocation of COVID-19 vaccines. Healthcare Analytics 100244, doi: 10.1016/j.health.2023.100244
    6. Escosio, R. A. S. Cawiding, O. R., Hernandez, B. S., Mendoza, R. G., Mendoza, V. M. P., Mohammad, R. Z., Pilar-Arceo, C. P. C., Salonga, P. K. N., Suarez, F. L. E., Sy, P. W., Vergara, T. H. M., and de los Reyes V, A. A. (2023). A Model-Based Strategy for the COVID-19 Vaccine Roll-Out in the Philippines, J. Theor. Biol. 573: 111596. doi: 10.1016/j.jtbi.2023.111596
    7. Malaguit, J. C., Mendoza, V. M. P., Tubay, J. M., and Mata, M. A. (2023) Identifying Patterning Behavior in a Plant Infestation of Insect Pests. Math Biosci 362: 109032. doi: 10.1016/j.mbs.2023.109032
    8. Ko, Y., Mendoza, V. M. P., Mendoza, R., Seo, Y., Lee,J., and Jung, E. (2023). Risk estimation of lifted mask mandates and emerging variants using mathematical model. Heliyon 9(6), e16841. doi:10.1016/j.heliyon.2023.e16841
    9. Lee, J., Mendoza, R., Mendoza, V. M. P., Lee, J., Seo, Y. and Jung, E. (2023). Modelling the effects of social distancing, antiviral therapy, and booster shots on mitigating Omicron spread. Sci Rep 13, 6914. doi: 10.1038/s41598-023-34121-y
    10. Mendoza, V. M. P., Mendoza, R., Ko, Y., Lee, J., and Jung, E. (2022). Managing bed capacity and timing of interventions: a COVID-19 model considering behavior and underreporting. AIMS Math, 7(9), 2201-2225. doi: 10.3934/math.2023114
    11. Ko, Y., Mendoza, V. M. P., Mendoza, R., Seo, Y., Lee, J. and Jung, E. (2022), Estimation of monkeypox spread in a non-endemic country considering contact tracing and self-reporting: a stochastic modeling study. J Med Virol. 1-11. doi: 10.1002/jmv.28232
    12. Cabanilla, K. I., Enriquez, E. A., Velasco, A. C., Mendoza, V. M. P., and Mendoza, R. (2022). Optimal selection of COVID-19 vaccination sites in the Philippines at the municipal level. PeerJ, 10:e14151. doi: 10.7717/peerj.14151
    13. Mendoza, V. M. P., Mendoza, R., Lee, J., and Jung, E. (2022). Adjusting non-pharmaceutical interventions based on hospital bed capacity using a multi-operator differential evolution. AIMS Math, 7(11), 19922-19953. doi: 10.3934/math.20221091
    14. Ko, Y., Mendoza, V. M. P., Mendoza, R., Seo, Y., Lee, J., Lee,J., Kwon, D., and Jung, E. (2022). Multi-Faceted Analysis of COVID-19 Epidemic in Korea Considering Omicron Variant: Mathematical Modeling-Based Study. J Korean Med Sci, 37(26), e209. doi: 10.3346/jkms.2022.37.e209
    15. Ko, Y., Mendoza, V. M. P., Seo, Y., Lee, J., Kim, Y., Kwon, D., and Jung, E. (2022). Quantifying the effects of non-pharmaceutical and pharmaceutical interventions against COVID-19 epidemic in the Republic of Korea: Mathematical model-based approach considering age groups and the Delta variant. Math Model Nat Phenom, 17(39), doi: 10.1051/mmnp/2022024
    16. Jamilla, C. U., Mendoza, R., and Mendoza, V. M. P. (2021). Parameter Estimation in Neutral Delay Differential Equations Using Genetic Algorithm With Multi-Parent Crossover. IEEE Access, 9, 131348-131364. doi: 10.1109/ACCESS.2021.3113677
    17. Salonga, P. K. N., Mendoza, V. M. P., Mendoza, R., and Belizario, V. Y. Jr. (2021). A mathematical model of the dynamics of lymphatic filariasis in Caraga Region, the Philippines. Royal Soc Open Sci, 8, 201965. doi: 10.1098/rsos.201965
    18. Jamilla, C. U., Mendoza, R., and Mendoza, V. M. P. (2020). Explicit solution of a Lotka-Sharpe-McKendrick system involving neutral delay differential equations using the \(r\)-Lambert \(W\) function. Math Biosci Eng, 17(5), 5686–5708. doi: 10.3934/mbe.2020306
    19. Mendoza, V. M. P., Kappel, F., and Kotanko, P. (2018). A model of vascular refilling with inflammation, Math Biosci, 303, 101-114. doi: 10.1016/j.mbs.2018.06.007

     

    Conference Proceedings

    1. Caro, L. A., Mendoza, R., and Mendoza, V. M. P. (2021). Application of Genetic Algorithm with Multi-Parent Crossover on an Inverse Problem in Delay Differential Equations. AIP Conf Proc, 2423, 020010. doi: 10.1063/5.0075363
    2. Ferrolino, A. R. and Mendoza, V. M. P. (2019). Generalized Sensitivity Analysis Applied to Vascular Refilling Models. AIP Conf Proc, 2192, 060008. doi: 10.1063/1.5139154
    3. Riñon, J. B. E., Mendoza, R., and Mendoza, V. M. P. (2019). Parameter Estimation of an S-system Model Using Hybrid Genetic Algorithm with the Aid of Sensitivity Analysis. In P. Fernandez, Jr., H. Adorna, and A. Sioson (Eds.), Proceedings of the 19th Philippine Computing Science Congress, National University, City of Manila, Computing Society of the Philippines, Inc., 94-102.

     

    Others

    • Rabajante, J. F., Custodio, C. J. D. M., Babierra, A. L., Collera, J. A., de los Reyes V, A. A., del Rosario, R. C. H., Fortun, N. T., Jose, E. C., Lao, A. R., Mata, M. A. E., Mendoza, V. M. P., Tabornal, R. U., and Tubay, J. M. (2019). Birthing a mathematical biology community in the Philippines. Philipp Sci Lett, 12(2), 104-106. https://philsciletters.net/2019-104/