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Sabbatical Fellows at NIMBioS in 2014

NIMBioS supported several Sabbatical Fellows each year during the period 2010 – 2016. NIMBioS no longer provides financial support for Sabbatical Fellows, but continues to provide office space and a collaborative scientific environment for self-supported visitors. These individuals come to NIMBioS for visits of up to several months duration, with the length of stay determined by the objectives of the proposed project. For more information about self-supported visits and how to apply, click here.

Visitor/Sabbatical Archive

Jemal Mohammed-Awel photo.

Jemal Mohammed-Awel (Mathematics & Computer Science, Valdosta State Univ.)
Project Title: Investigating the combination of imperfect-vaccines and transmission-blocking vaccines in malaria control
Jemal Mohammed-Awel will develop and analyze models that incorporate transmission-blocking and imperfect vaccines and will formulate an optimal control problem subject to the model to find an optimal combination of the vaccines that minimizes the cost of implementing the two vaccinations as well as the number of infected humans.
Sabbatical Dates: June 9-Aug. 15, 2014


Ngonghala C, Mohammed-Awel J, Zhao R, Prosper O. 2016. Interplay between insecticide-treated bed-nets and mosquito demography: implications for malaria control. Journal of Theoretical Biology, 397(2016): 179–192. [Online]

Y. Cao photo.

Yang Cao (Computer Science, Virginia Tech.)
Project Title: Multiscale stochastic simulation methods for reaction-diffusion systems with applications in biological and ecological models
Sabbatical Dates: February-May 2014
Yang Cao is developing a mathematical foundation for hybrid stochastic simulation algorithms as well as efficient stochastic simulation algorithms for reaction-diffusion systems. For the hybrid method, Cao will use Gillespie's algorithm, also known as the SSA, and numerical solutions of ordinary differential equations with the goal to develop a rigorous mathematical foundation for the convergence analysis of the hybrid method. For stochastic reaction-diffusion systems, Cao will use an asymptotic analysis of the reaction diffusion master equations when the discretization size of space tends toward zero. The goal is to extend the hybrid method to stochastic reaction diffusion systems.

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