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Biography

Dr. Divine Tito Fongha Wanduku

Department of Mathematics

Keiser University, USA

Mathematics and Statistics Professor


Email: dwanduku@keiseruniversity.edu


Qualifications

2012 Ph.D., University of South Florida, Mathematics and Statistics

2012 M.A., University of South Florida, Statistics

2005 M.Sc., University of Buea, Cameroon, Mathematics

2002 B.Sc., University of Buea, Cameroon, Mathematics


Publications (Selected)

  1. D. Wanduku, G.S. Ladde (2012), Global properties of a two-scale network stochastic delayed human epidemic dynamic model, nonlinear Analysis: Real World Applications 13794-816
  2. D. Wanduku, G.S. Ladde ( 2011), A two-scale network dynamic model for human mobility process, Math. Biosciences, vol. 229 (1)
  3. D. Wanduku, G.S. Ladde (2011), Fundamental Properties of a Two-scale Network stochastic human epidemic Dynamic model, Neural, Parallel, and Scientific Computations 19 229-270
  4. D. Wanduku, G.S. Ladde (2011), Global Stability of Two-Scale Network Human Epidemic Dynamic Model, Neural, Parallel, and Scientific Computations 19, 65-90
  5. D. Wanduku, G.S. Ladde (2010), Two-scale Stochastic Network Dynamic Epidemic Models, Proceedings of Neural, Parallel & Scientific Computations, Atlanta, Georgia, Vol. 4, Dynamic Publishers, Inc
  6. D. Wanduku, G.S. Ladde (2012), Global stability of a two-scale network SIR delayed epidemic dynamic model Proceedings of Dynamic Systems and Applications6, 437–441
  7. D. Wanduku, G.S. Ladde , Global Analysis of a stochastic two-scale Network Human Epidemic Dynamic Model With Varying Immunity Period (Accepted for publication)
  8. 8. D. Wanduku, A Scale-Structured Network Stochastic Epidemic dynamic model with varying Incubation Period (Submitted for Publication)
  9. D. Wanduku, G.S. Ladde, Global Stability of a Two-Scale Network SIR Epidemic Dynamic Model With Varying Immunity Period (Under preparation)
  10. D. Wanduku, G.S. Ladde. Special Two-Scale Stochastic Network Dynamic Human Epidemic Models (under preparation)
  11. D. Wanduku, Stochastic Network Epidemic dynamic model with dual time distributed delay. (Under preparation)