Sambayan, Rachelle
Kernel matrix completion. Mathematics of finance. Kernel methods. Data fusion. Machine learning.
- Optimization and Approximation (member)
- Mathematical Finance and Actuarial Science (affiliate)
-
Education
-
Ph.D. in Science and Technology (2018)
Gunma University, JapanDissertation: Kernel Matrix Completion
Adviser: Assoc. Prof. Tsuyoshi Kato -
M.S. Applied Mathematics (Mathematics of Finance) (2012)
University of the Philippines, DilimanThesis: GARCH Approach to Modeling Structural Breaks of Stock Volatility
Adviser: Prof. Fredegusto Guido P. David -
B.S. Mathematics (2007)
University of the Philippines, DilimanThesis: Moore Graphs of Diameter 2
Adviser: Prof. Jose Maria P. Balmaceda
-
Ph.D. in Science and Technology (2018)
-
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
- 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.
- 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
- 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
- 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
- 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
- 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
- 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.