Difference between revisions of "Anjali Tarun"
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[[Image:Anjali Tarun.jpg|150px|{border}]]<br> | |||
Anjali Tarun]], National Institute of Physics, Philippines | |||
Anjali is a graduating masters student of Physics and a faculty from the University of the Philippines, Diliman. Her research deals with the spatiotemporal characterization of small and large-scale self-organized dynamical systems (earthquakes and granular avalanches). The approach she used is based on a generalized method of constructing a temporally directed network, wherein events are connected based on their spatial separations. By looking at the degree distribution and other features of the network, one can infer the possible presence of causal structure in the system (patterns in space and time, i.e foreshocks and aftershocks). She performs experiments on granular avalanches, and she analyzes them using a series of image and video processing algorithms she developed. Although she’s mainly doing complexity science research, she’s also fond of machine learning and data science. | Anjali is a graduating masters student of Physics and a faculty from the University of the Philippines, Diliman. Her research deals with the spatiotemporal characterization of small and large-scale self-organized dynamical systems (earthquakes and granular avalanches). The approach she used is based on a generalized method of constructing a temporally directed network, wherein events are connected based on their spatial separations. By looking at the degree distribution and other features of the network, one can infer the possible presence of causal structure in the system (patterns in space and time, i.e foreshocks and aftershocks). She performs experiments on granular avalanches, and she analyzes them using a series of image and video processing algorithms she developed. Although she’s mainly doing complexity science research, she’s also fond of machine learning and data science. | ||
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Anjali also works part-time as a research assistant in a university-based project about the complexity of Philippine public school system, which attempts to model the resilience of the schools to disaster occurrences. Preliminary analyses she did are basic statistical tests and neural networks. | Anjali also works part-time as a research assistant in a university-based project about the complexity of Philippine public school system, which attempts to model the resilience of the schools to disaster occurrences. Preliminary analyses she did are basic statistical tests and neural networks. | ||
Between graduate school, teaching and research, Anjali makes sure that she gets enough dose of fun by traveling and meeting new people, once in awhile. [http://imagingknowledgebin.blogspot.com/ Website] | Between graduate school, teaching and research, Anjali makes sure that she gets enough dose of fun by traveling and meeting new people, once in awhile. | ||
[http://imagingknowledgebin.blogspot.com/ Website] |
Revision as of 18:13, 7 March 2016
Complex Systems Summer School 2016 |
Anjali Tarun]], National Institute of Physics, Philippines
Anjali is a graduating masters student of Physics and a faculty from the University of the Philippines, Diliman. Her research deals with the spatiotemporal characterization of small and large-scale self-organized dynamical systems (earthquakes and granular avalanches). The approach she used is based on a generalized method of constructing a temporally directed network, wherein events are connected based on their spatial separations. By looking at the degree distribution and other features of the network, one can infer the possible presence of causal structure in the system (patterns in space and time, i.e foreshocks and aftershocks). She performs experiments on granular avalanches, and she analyzes them using a series of image and video processing algorithms she developed. Although she’s mainly doing complexity science research, she’s also fond of machine learning and data science.
Anjali also works part-time as a research assistant in a university-based project about the complexity of Philippine public school system, which attempts to model the resilience of the schools to disaster occurrences. Preliminary analyses she did are basic statistical tests and neural networks.
Between graduate school, teaching and research, Anjali makes sure that she gets enough dose of fun by traveling and meeting new people, once in awhile.