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Visiting Professor
B.S. Physics, University of the Philippines Diliman, 2006
M.S. Physics, University of the Philippines Diliman, 2008
Ph.D. Physics, University of the Philippines Diliman, 2011
Ph.D. Data Science, Asian Institute of Management
Complex systems, machine learning, artificial intelligence, causality, Big Data analytics, geospatial science
1. Liponhay, M. P.; Valerio, A. V.; Monterola, C. P. (2024) Time-delayed causal network analysis of meteorological variables and air pollutants in Baguio City. Atmos. Pollut. Res. 15(6), 102095. https://doi.org/10.1016/j.apr.2024.102095
2. Liponhay, M. P.; Valerio, A. V.; Fornan, G.; Alis, C.; Monterola, C. P. (2023). Dynamic assessment of urban carrying capacity load number using the enhanced UCCLN model. Sustainability 16(1), 35. https://doi.org/10.3390/su16010035
3. Liponhay, M.; Valenzuela, J. F.; Dorosan, M.; Dailisan, D.; Monterola, C. (2023). A dynamic urban mobility index from clustering of vehicle speeds in a tourist-heavy city. Appl. Sci. 13(23), 12763. https://doi.org/10.3390/app132312763
4. Javier, P. J. E. A.; Liponhay, M. P.; Dajac, C. V. G.; Monterola, C. P. (2022). Causal network inference in a dam system and its implications on feature selection for machine learning forecasting. Physica A: Stat. Mech. Appl. 604, 127893. https://doi.org/10.1016/j.physa.2022.127893