Expertise

  • Complex systems research: Urban Complexity, Computational and Statistical Physics, Agent-Based Modeling and Simulations, Predictive Analytics, and Complex Network analysis, Data science and visualization, Research problem scoping, Research and project supervision, Workshop organization

Research Interests

  • Complex Systems Modeling and Optimization, Data Science, Computational Social Science, Urban Complexity Research, Econophysics
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Erika Fille T. Legara, PhD

Associate Professor
Aboitiz Chair in Data Science

Academic Background

  • Doctor of Philosophy in Physics, University of the Philippines
  • Master of Science in Physics, University of the Philippines
  • Bachelor of Science in Physics, University of the Philippines

Professional and Academic Experience

  • Scientist III, Institute of High Performance Computing, Science and Engineering Research Council (SERC), A*STAR
  • Scientist II, Institute of High Performance Computing, SERC, A*STAR
  • Scientist I, Institute of High Performance Computing, SERC, A*STAR
  • Research Fellow, Singapore Immunology Network, BMSI, A*STAR
  • Assistant Professor at the National Institute of Physics, University of the Philippines Diliman
  • College Instructor at the National Institute of Physics, University of the Philippines Diliman

Affiliations, Awards, and Honors

  • 2023 Most Outstanding Scientist and Researcher by The Asian Scientist 100 of the Asian Scientist Magazine
  • 2020 Outstanding Young Scientist Awardee by the National Academy of Science and Technology
  • 2019 Generation T List, Asia Tatler
  • 2018 The Outstanding Young Men (TOYM) by Junior Chamber International
  • 2016 UN Big IDEAS Competition for sustainable cities and urban
  • development organized by the UN (Country Prize, team)
  • 2013 IEEE SCALE Challenge. First Prize Winner (team)
  • Edgardo Gomez Awardee for Excellence in Dissertation Research, U.P Diliman (UPD) College of Science
  • Most Outstanding PhD Graduate, UPD College of Science
  • PhD Physics Most Outstanding Student, National Institute of Physics
  • Delegate to the 3rd HOPE Meeting in Tokyo, Japan for the Promotion of Science in Asia
  • Santa Fe Institute - Complex Systems Summer School Scholar
  • 2nd Runner-Up, Scientific Poster Exhibition, 76th Annual Meeting of the National Research Council of the Philippines
  • 1st Runner-Up, Scientific Poster Exhibition, 75th Annual Meeting of the National Research Council of the Philippines
  • DOST PCASTRD Scholarship 
  • Cum Laude, B.S. in Physics

PEER-REVIEWED JOURNALS

  • Tan, H. E., Hong, W. O. J., Othman, N. B., Legara, E. F., Monterola, C. P., & Ramli, M. A. (2022). Quantifying the resilience of rapid transit systems: A composite index using a demand-weighted complex network model. PLoS ONE,17(4): e0267222. https://doi.org/10.1371/journal.pone.0267222.
  • Valenzuela, J. F., Legara, E. F., & Monterola, C. P. (2022). Typology, network features and damage response in worldwide urban road systems. PLoS ONE, 17(3), e0264546. https://doi.org/10.1371/journal.pone.0264546.
  • Ibañez, S. C., Dajac, C. V. G., Liponhay, M. P., Legara, E. F., Esteban, J. M. H., & Monterola, C. P. (2022). Forecasting reservoir water levels using deep neural networks: A case study of Angat Dam in the Philippines. Water, 14(1), 34. https://doi.org/10.3390/w14010034.
  • Alis, C. M., Legara, E. F., & Monterola, C. P. (2021). Generalized radiation model for human migration. Nature Scientific Reports, 11, 22707. https://doi.org/10.1038/s41598-021-02109-1.
  • Pang, R. K., Granados, O., Chhajer, H., & Legara, E. F. (2021). An analysis of network filtering methods to sovereign bond yields during COVID-19. Physica A: Statistical Mechanics and its Applications, 574, 125995. https://doi.org/10.1016/j.physa.2021.125995.
  • Yang, B., Ren, S., Legara, E. F., Li, Z., Ong, E. Y. X., Lin, L., & Monterola, C. P. (2020). Phase transition intaxi dynamics and impact of ridesharing. Transportation Science, 54(1), 250-273. https://doi.org/10.1287/trsc.2019.0915.
  • David, C. C., Monterola, S. L. C., Paguirigan Jr., A., Legara, E. F., Tarun, A. B., Batac, R. C., & Osorio, J. P. (2018). School hazard vulnerability and student learning. International Journal of Educational Research, 92, 20-29. https://doi.org/10.1016/j.ijer.2018.07.005.
  • Huynh, H. N., Makarov, E., Legara, E. F., Monterola, C. P., & Chewce, L. Y. (2018). Characterisation and comparison of spatial patterns in urban systems: A case study of US cities. Journal of Computational Science, 24, 34-43. https://doi.org/10.1016/j.jocs.2017.12.001.
  • Legara, E. F., & Monterola, C. P. (2018). Inferring passenger types from commuter eigentravel matrices. Transportmetrica B: Transport Dynamics, 6(3), 230-250. https://doi.org/10.1080/21680566.2017.1291377.
  • Xu, H. Y., Kuo, S. H., Li, G., Legara, E. F., Zhao, D., & Monterola, C. P. (2016). Generalized cross entropy method for estimating joint distribution from incomplete information. Physica A: Statistical Mechanics and its Applications, 453, 162-172. https://doi.org/10.1016/j.physa.2016.02.023.
  • Othman, N. B., Legara, E. F., Selvam, V., & Monterola, C. P. (2015). A data-driven agent-based model ofcongestion and scaling dynamics of rapid transit systems. Journal of Computational Science, 10, 338-350. https://doi.org/10.1016/j.jocs.2015.03.006.
  • Legara, E. F., Monterola, C. P., Lee, K. K., & Hung, G. G. (2014). Critical capacity, travel time delays andtravel time distribution of rapid mass transit systems. Physica A: Statistical Mechanics and its Applications, 406, 100-106. https://doi.org/10.1016/j.physa.2014.02.058.
  • Legara, E. F., Monterola, C. P., & David, C. C. (2013). Complex Network Tools in Building Expert Systems that Perform Framing Analysis. Expert Systems with Applications, 40(11), 4600-4608. https://doi.org/10.1016/j.eswa.2013.01.064.
  • Legara, E. F., Monterola, C. P., & Abundo, C. (2011). Ranking of predictor variables based on effect size criterion provides an accurate means of automatically classifying opinion column articles. Physica A: Statistical Mechanics and its Applications, 390(1), 110-119.https://doi.org/10.1016/j.physa.2010.03.016.
  • Legara, E. F., Monterola, C. P., Juanico, D. E., Litong-Palima, M., & Saloma, C. (2008). Earning potential in multilevel marketing enterprises. Physica A: Statistical Mechanics and its Applications, 387(19–20), 4889-4895.https://doi.org/10.1016/j.physa.2008.04.009.

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