Middle Tenness State Univeristy

Research Interests:

My research interests include mathematical biology, optimal control, mathematical modeling, ordinary and partial differential equations, difference equations and hybrid systems with applications to

Mathematical biology is a growing branch of applied mathematics as the interest of modeling complex biological systems increases. Optimal control theory is a branch of mathematics developed to find optimal ways to control a dynamic system. Generally, the optimal control problem consists of an objective functional, a dynamic system and the control(s). The controls enter the dynamics in a variety of ways as coefficients, boundary terms or sources.

My research focuses on understanding the spatial and temporal patterns that arise in dynamic biological systems and when possible, finding the best way to control the system.

Science Feb. 6th, 2004 --- Devoted to Mathematics in Biology

In a special collection of articles published beginning 6 February 2004, Science Magazine and its online companion sites teamed up to explore one of the hottest interdisciplinary collaborations in science today: the interface between mathematics and biology. In Science, News, Viewpoint, and Review articles covered how mathematics and computation are informing biology on a wide variety of fronts, the need for incorporating quantitative approaches into bioscience curricula, and some of the uses -- and abuses -- of mathematical models for biological systems.

Research Work:

Other Work:

  1. W. Ding, S. Lenhart and H. Behncke
    Discrete Time Optimal Harvesting of Fish Populations with Age Structure, Letters in Biomathematics, 1:2, 193-207, 2014. DOI: 10.1080/23737867.2014.11414480
  2. W. Ding, R. C. Hendon, B. Cathey, E. Lancaster and R. Germick
    Discrete Time Optimal Control Applied to Pest Control Problems, Involve, a Journal of Mathematics 7-4 (2014), 479--489. DOI 10.2140/involve.2014.7.479
  3. Wandi Ding, Volodymyr Hrynkiv and Xiaoyu Mu
    Optimal Control Applied to Native-Invasive Species Competition via a PDE Model, Electronic Journal of Differential Equations, Vol. 2012, 237:1-18, 2012.
  4. Wandi Ding and Suzanne Lenhart.
    An Introduction to Optimal Control for Discrete Models with an Application to Disease Modeling. Modeling Paradigms and Analysis of Disease Transmission Models, 109-119, DIMACS Ser. Discrete Math. Theoret. Comput. Sci., 75, Amer. Math. Soc., Providence, RI, 2010.
  5. W. Ding, Suzanne Lenhart, Heather Finotti, Yuan Lou and Yuquan Ye.
    Optimal Control of the Growth Coefficient on a Steady State Population Model. Nonlinear Anal. Real World Appl. 11, 688-704, 2010.
  6. Wandi Ding and Suzanne Lenhart.
    Optimal Harvesting of a Spatially Explicit Fishery Model. Natural Resource Modeling, 22:2, 173-211, May, 2009.

    Poster at the 2007 World Conference on Natural Resource Modeling.

  7. Wandi Ding, Louis Gross, Keith Langston, Suzanne Lenhart and Leslie A. Real.
    Rabies in Raccoons: Optimal Control for a Discrete Time Model on a Spatial Grid. Journal of Biological Dynamics, 1:4, 379-393, October 2007.
  8. Wandi Ding.
    Optimal Control on Hybrid ODE Systems with Application to a Tick Disease Model. Mathematical Biosciences and Engineering , 4:4, 633-659, October 2007.
  9. Grid Computing Project for Ecological Modeling and Spatial Control, 2006-07 (post-doctoral work)

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Two Biological Applications of Optimal Control to Hybrid Differential Equations and Elliptic Partial Differential Equations

Advisor: Dr. Suzanne Lenhart

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Professional Development:

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Funded grants:

  1. co-PI, NSF ADVANCE IT-Catalyst: A Catalyst to ADVANCE the Participation and Advancement of Women in Academic STEM Careers at Middle Tennessee State University (with B. Bartel, J. Iriarte-Gross, J. Eller and K. Petersen), 2014-16.
  2. MTSU LT&ITC Faculty Learning Community (FLC): Mid-Career Faculty Development Program, (with D. Raffo, G. Webber, R. Henderson, R. Otter and T. Brinthaupt), 2014.
  3. MTSU Instructional Technologies Innovation Grant (ITI) (with Z. Sinkala and R. Leander), 2014.
  4. MTSU Instructional Evaluation and Development Grant (IED), 2011.
    To design and implement of a pilot program training for undergraduates in biological and mathematical sciences.

  5. Faculty Research and Creative Activities (FRCAC), MTSU, August 2009- May 2010.
    Optimal Control Applied to Native-Invasive Population Dynamics via a PDE Model
  6. NSF STEP (Stepping Up Undergraduate Research) Summer Reseach, MTSU, June-July 2009.
    Mathematical Modeling and Control of Populations: Application in Biological Pest Control
  7. Faculty Research and Creative Activities (FRCAC), MTSU, August 2008- May 2009.
    Optimal Harvesting of Fish Populations with Age Structure
  8. MTSU Distinguished Lecture Fund: 2009, 2010, 2011, 2012.
  9. Travel grants:

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Conference Session/Mini-Symposium Organized:

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