Home / Faculty / Sambayan, Rachelle

Sambayan, Rachelle

Associate Professor
RoomMath Building 250

Research Interests
Kernel matrix completion. Mathematics of finance. Kernel methods. Data fusion. Machine learning.
  • Education
    • Ph.D. in Science and Technology (2018)
      Gunma University, Japan

      Dissertation: Kernel Matrix Completion
      Adviser: Assoc. Prof. Tsuyoshi Kato

    • M.S. Applied Mathematics (Mathematics of Finance) (2012)
      University of the Philippines, Diliman

      Thesis: GARCH Approach to Modeling Structural Breaks of Stock Volatility
      Adviser: Prof. Fredegusto Guido P. David

    • B.S. Mathematics (2007)
      University of the Philippines, Diliman

      Thesis: Moore Graphs of Diameter 2
      Adviser: Prof. Jose Maria P. Balmaceda

  • Research
    Current Projects (Funded)

    2020 – 2021 Bayanihan to Recover as One Act: Grant for Research on COVID-19 in the Philippines, Establishment of a Computational Research Laboratory. Co-Project Leader.

    2021 – 2022 Bayanihan to Recover as One Act: Grant for Research on COVID-19 in the Philippines, Estimating the Resultant Efficacy of the Administration of Two or More Vaccines in a Single Community. Principal Investigator.

    Past Projects (Funded)

    2020 – 2021 Bayanihan to Recover as One Act: Grant for Research on COVID-19 in the Philippines, Allocation of Different COVID-19 Vaccines to a Heterogeneous Population: Exploring Various Scenarios. Co-Principal Investigator.

    2019 NSRI Research Grant, Modeling Structural Breakpoints in Volatility of Philippine Peso-US Dollar Currency Exchange Rate. Project Leader.

  • Teaching

    Teaching

    • Math 20: Precalculus: Functions and their Graphs
    • Math 21: Elementary Analysis I
    • Math 22: Elementary Analysis II
    • Math 23: Elementary Analysis III
    • Math 171: Introduction to Numerical Analysis
    • Math 271.1: Numerical Analysis I

    Mentoring

    Current Students
    • Mark Jayson Labaclado: BS Mathematics
    • Darwin Biagtan: M.S. Applied Mathematics, Optimization and Approximation
    Former Graduate Students
    • Hanna Rhae Lyssa D. Improso: M.S. Applied Mathematics, Optimization and Approximation (June 2021)
    • Rodney B. Pino: M.S. Applied Mathematics, Optimization and Approximation (June 2021, co-adviser: Dr. Renier Mendoza)
    • Donald Jay M. Bertulfo: M.S. Applied Mathematics, Optimization and Approximation (Aug 2020, co-adviser: Dr. Guido David)
    Former Undergraduate Students
    • Adrian M. Villareal (June 2019)
    • Rolando H. Labuguen, Jr. (April 2014, co-adviser: Dr. Guido David)
  • Publications

    (* denotes graduate student coauthor)

    Refereed Journal Papers
    1. Pino R*, Mendoza R, Sambayan R. 2022.  Block-level Optical Character Recognition System for Automatic Transliterations of Baybayin Texts Using Support Vector Machine. Philippine Journal of Science 151(1), pp. 303—315, ISSN 0031 – 7683, Feb 2022.
    2. Pino R*, Mendoza R, Sambayan R. 2021. A Baybayin word recognition system. PeerJ Computer Science 7:e596 https://doi.org/10.7717/peerj-cs.596
    3. Pino R*., Mendoza R., Sambayan R. 2021. 1.Optical character recognition system for Baybayin scripts using support vector machine. PeerJ Computer Science 7:e360 https://doi.org/10.7717/peerj-cs.360
    4. R. Rivero*, Y. Onuma*, and T. Kato. (2018) “Threshold Auto-Tuning Metric Learning.” IEICE Transactions on Information and Systems, vol.E102-D, no.6, pp.1163–1170, June 2019. Preprint: arXiv
    5. R. Rivero* and T. Kato. (2018) “Parametric Models for Mutual Kernel Matrix Completion.” IEICE Transactions on Information and Systems, vol.E101-D, no.12, pp.2976—2983, Dec. 2018. Preprint: arXiv
    6. R. Rivero*, R. Lemence, and T. Kato. (2017). “Mutual Kernel Matrix Completion.” IEICE Transactions on Information and Systems, vol.E100-D, no.8, pp.1844—1851, Aug. 2017. Preprint: arXiv

     

    Conference Proceedings
    1. R. Rivero and G. David. (2019). “Modeling Structural Breakpoints in Volatility of Philippine Peso-US Dollar Currency Exchange Rate.” Rahmawati, Y. (Ed.), Taylor, P. C. (Ed.). (June 2019). Empowering Science and Mathematics for Global Competitiveness. London: CRC Press.