Wednesday, December 10, 2014
Complex systems exhibit dynamics that typically evolve on low-dimensional attractors and may have sparse representation in some optimal basis.
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Monday, December 1, 2014
Using an individual-based mathematical model, we quantified the impact of EAG campaigns in terms of probability of elimination, reduction in polio transmission and age stratified immunity levels.
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Saturday, November 8, 2014
With recent increase in affordability and accessibility of high-performance computing (HPC), the use of large stochastic models has become increasingly popular for its ability to accurately mimic the
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Thursday, October 2, 2014

The eradication of diseases has long been a focus of the global health community and researchers in epidemiology and other related fields.

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Monday, September 22, 2014
We develop a new method which extends Dynamic Mode Decomposition (DMD) to incorporate the effect of control to extract low-order models from high-dimensional, complex systems.
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Thursday, July 31, 2014

Decision makers need efficient algorithms to draw meaningful conclusions from detailed stochastic simulations with respect to a goal-oriented objective.

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Tuesday, April 22, 2014

Understanding the environmental conditions of disease transmission is important in the study of vector-borne diseases.

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Thursday, April 17, 2014
The haemozoin crystal continues to be investigated extensively for its potential as a biomarker for malaria diagnostics.
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Wednesday, December 18, 2013

This work develops compressive sampling strategies for computing the dynamic mode decomposition (DMD) from heavily subs

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Tuesday, October 15, 2013
The goal of compressive sensing is efficient reconstruction of data from few measurements, sometimes leading to a categorical decision.
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