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RESEARCH

SELF-ORGANIZED SYSTEMS AND MODELS

Complex, unpredictable behavior emerges out of simple, local interactions in self-organized systems. We use mathematical tools in characterizing the complex signatures of natural hazards such as landslides and earthquakes, and laboratory and computational models. 

Earthquakes in the Philippines, 1973-2016

Space and Time Characterization of Earthquakes

Earthquakes are self-organized systems characterized by very long periods of energy accumulation driven by the slow rates of crustal motion, and the sudden energy release during a series of correlated earthquake sequences. We investigate the patterns that can be recovered from the space and time occurrences of earthquakes to understand the underlying processes involved in their generation. In particular, we study the earthquake spatio-temporal behavior in the Philippines, which is situated in a highly active region of earthquake generation. 

Avalanche propagation in a sandpile grid wih sinks

Sandpiles and Other Discrete Models of Complexity

The sandpile model is a discrete cellular automata model that illustrates how small, local disturbances can propagate to produce fat-tailed avalanche size distribution. The sandpile model is self-organized, and has been used to replicate the statistical distributions of natural hazard occurrences. The group investigates the spatial and temporal properties of the sandpile model and its variants to make them more apt for simulating the occurrences of bursty events in many physical systems. 

Complex Systems Group

DYNAMICS AND ORGANIZATION OF COMPLEX SYSTEMS

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Self-Organized Systems and ModelsComplexity in Urban SystemsDynamics of Human Interactions 

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Address: Department of Physics College of Science De La Salle University 2401 Taft Avenue, Manila, Philippines
Email: complexsystems.dlsu@gmail.com 
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Site last updated: 13 May 2024
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