Research Teams

The IAM lab is a research group of the UP Mindanao Department of Mathematics, Physics, and Computer Science that is composed mostly of applied mathematicians who promote interdisciplinary research. The IAM team focuses mainly on the application of mathematical modeling to study real-world phenomena and generating approaches to address gaps in a variety of disciplines, including the physical, chemical, biological, and engineering sciences.

Conceived on March 2020, this lab was founded and led by Dr. Mata as part of COVID-19 research initiatives to help the City Government in making science-based decisions to control the pandemic.
COVID-19 initiatives are found here: https://www.up.edu.ph/davao-city-should-consider-extending-community-quarantine-beyond-april-19-and-conductmore-tests-for-covid-19-up-mindanao-researchers/

The MATALab

This is a lab for undergraduate theses students who are under my supervision since 2017. In MATALab, students will be exposed to researches in the following areas: mathematical/statistical epidemiology, dynamical systems, agent-based modeling, ordination methods, and operations research modeling.
Wabina, R.; Sibla, M.; Prudenciado, C.; Bontilao, H.; Abaro, K.

Batch 1

AY 2017-2018
Arandela, X.; Peralta, J.; Dapar, R.; Clemente, A.; Laserna, P.; Fordan, Y.; Roxas, P.; Calo, F.; Paras, A. (not in photo)

Batch 2

AY 2018-2019

Publications

Journal Articles

  • Evangelio, S.A., Satur, D.A., Lachica, Z.P.T., MATA, M.A.E. and Alviola IV, P.A., 2020. Risk Factor Analysis for Dog Bite Victims in Davao City, Southern Philippines. Philippine Journal of Science, 149(2), pp.225-233.

  • MATA, M.A.E., Oguis, G.F.R., Ligue, K.D.B., Gamot, R.M.T., Abaro, K.R.G., Fordan, Y.C. and Digal, L.N., 2020. Model Simulation Approach for Exploring Profitability of Small-scale Cavendish Banana Farmers in Davao Region from Harvest Allocation to Enterprises. Philippine Journal of Science, 149(2), pp.283-298.

  • Lachica, Z.P.T., Evangelio, S.A., Diamante, E.O., Clemente, A.J., Peralta, J.M., Murao, L.A.E., MATA, M.A.E. and IV, P.A.A., 2019. Trends of Canine Rabies Lyssavirus and Impact of the Intensified Rabies Control Program in Davao City, Philippines: 2006–2017. Philippine Journal of Science, 148(4), pp.751-763.

  • MATA, M.A., Tyson, R.C. and Greenwood, P., 2019. Random fluctuations around a stable limit cycle in a stochastic system with parametric forcing. Journal of mathematical biology, 79(6-7), pp.2133-2155.

  • Aquino, G.M.B. and MATA, M.A.E., 2019. Prediction of offspring probabilities for observed haplotype variants using parsimony- and probability-basd methods. Philippine Journal of Veterinary and Animal Sciences, 45(2), pp.116-125.

  • Elumba, M.E., MATA, M.A.E., Abpi, M.M. and Nañola, C.L., 2019. Age-based growth variation of Green-blotched Parrotfish (Scarus quoyi) in the Southern Philippine Seas. Philippine Journal of Science, 148(2), pp. 417-423.

  • MATA, M.A.E., 2018. A comparison of minimal pharmacokinetic models for an anti-diabetic agent. Journal of Health Research and Society, 1, pp.5-5.

  • MATA, M.A., Greenwood, P. and Tyson, R., 2018. The relative contribution of direct and environmental transmission routes in stochastic avian flu epidemic recurrence: an approximate analysis. Bulletin of mathematical biology, pp.1-34.

  • Evangelio, S.A., Limpoco, M.A.A.A. and MATA, M.A.E., 2017. A comparison between conventional and high-priority bus services in Davao City, southern Philippines. BANWA Series B, 12(9).

  • Holmes, W.R., MATA, M.A. and Edelstein-Keshet, L., 2015. Local perturbation analysis: a computational tool for biophysical reaction-diffusion models. Biophysical journal, 108(2), pp.230-236.

  • MATA, M.A., Dutot, M., Edelstein-Keshet, L. and Holmes, W.R., 2013. A model for intracellular actin waves explored by nonlinear local perturbation analysis. Journal of theoretical biology, 334, pp.149-161.

  • MATA, M.A.E., 2010. Rao DISC-based similarity coefficient: a measure of similarity with respect to feature differences. International Journal of Data Analysis Techniques and Strategies (IJDATS), 2(2), p.181.

Conference Papers

  • MATA, M.A.E., Prudenciado, C.C., and Lachica, Z.P.T., 2018. Analysis of model for long-term rabies incidence in a dog population. Presented during the De La Salle University Research Congress.

ArXiv Preprints

  • MATA, M.A.E., Greenwood, P.E. and Tyson, R.C., 2017. The roles of direct and environmental transmission in stochastic avian flu epidemic recurrence. arXiv preprint arXiv:1703.04869.

PhD Thesis Manuscript

  • MATA, M.A.E., 2017. Avian influenza epidemic recurrence and approximate stochastic models (Doctoral dissertation, University of British Columbia).

Manuals and Technical Reports

  • MATA, M.A.E., Alviola IV, P.A., Lachica, Z.P. T.,...,Murao,L.A.E. 2017. The state of canine rabies in Davao City. A technical report on the project Impact Evaluation of the Animal Rabies Control Program of Davao City funded by the local government of Davao City with Project Code ADF 2018.

  • Holmes, W.R., MATA, M.A., and Edelstein-Keshet, L., 2014. Local Perturbation Analysis in MatCont. User’s Guide & Tutorials, 0ctober.

Letters

  • Rabajante, J.F., Custodio, C.J.D., Babierra, A.L., Fortun, N.T., Jose, E.C., Lao, A.R., MATA, M.A.E., Mendoza, V.M.P., Tabornal, R.U. and Tubay, J.M., Birthing a mathematical biology community in the Philippines. Phil. Sci. Letters, 12 (1), pp. 102-104.

Research Projects

Synoptic Study on Transmission on Optimum control to Prevent (STOP) Rabies

Program Head: Dr. Lyre Anni E. MuraoFunding Agency: Commission on Higher EducationImplementation Period: 2018-2020I am one of the project leaders for this research program. In our project, we are concerned with modelling the long-term rabies incidence in Davao City in the presence of the intensified rabies control programs.

Sustainable Philippine Cavendish Banana Value Chain: Exploring Local Markets and Processed Product Development

Program Head: Dr. Larry N. DigalFunding Agency: Commission on Higher EducationImplementation Period: 2017-2019I am one of the assistant project leaders for this program. In our project, we are concerned with determining the optimal allocation of fresh bananas (in Davao region) into different market enterprises as well as modeling the Cavendish banana supply chain network .

Modelling Epidemic Diarrhea in Swine (MEDS)

Project Head: Dr. Jomar F. RabajanteFunding Agency: Commission on Higher EducationImplementation Period: Nov 2018- May 2019I am a collaborator of this project. The main aim of this project is to theoretically model the disease dynamics of Porcine Epidemic Diarrhea in a swine population under different farming operations.