Welcome to the Grid Computing Project for Ecological Modeling and Spatial Control

Funded by the National Science Foundation: Award No. IIS-0427471

(ITR: Grid Computing for Ecological Modeling and Spatial Control)


About Contributors Research Contact

About

The Grid Computing project is funded through the Information Technology Research division of the NSF. The main objective of this project is the development of computational tools, utilizing grid-computing, to assist natural resource managers in assessing the impacts of alternative management plans. Specific objectives are:

1. Provide a general structure and toolset for ecological multimodeling that incorporates models at different trophic levels operating at different spatial and temporal scales using different mathematical approaches.

2. Provide for the inclusion of methods for spatial optimization and control that allow managers to compare alternative management schemes based upon user-specified criteria and search the space of possible scenarios for optimal schemes.

3. Develop a collection of extensible examples for models of particular types that are appropriate for local and regional ecological management.

4. Develop a curriculum in computational science for natural resource managers to assist them in applying modern computational methods to land-use and conservation planning.



Contributors

Principle Investigators

Dr. Michael Berry
Department of Computer Science

Information retrieval, data mining, computational ecology, bioinformatics, and parallel computing. Prof. Berry is currently supported by grants and contracts from the National Science Foundation and U.S. Departments of Energy and Defense, and National Institutes of Health.

Dr. Louis Gross
Department of Ecology and Evolutionary Biology

The Institute for Environmental Modeling

Mathematical ecology, computational ecology, quantitative training for life science students, Landscape ecology, plant physiological ecology, photosynthetic dynamics, individual-based models, parallel computation for ecological models

Dr. Suzanne Lenhart
Department of Mathematics

Partial differential equations, optimal control, population and environmental models, natural resource modeling, disease models

Dr. Shih-Lung Shaw
Department of Geography

Transportation and geographic information science (GIS), especially on topics related to time geography, temporal GIS, GIS for transportation (GIS-T), effects of information and communications technologies (ICT) on human activity and travel patterns, air transportation, and transportation planning and modeling.

Post-Doctorate Researchers at UT

Dr. Wandi Ding
Department of Mathematics

Math biology, optimal control, mathematical modeling, ordinary and partial differential equations, with applications to populations, diseases, and natural resources.

Dr. Michael Fuller
Department of Ecology and Evolutionary Biology

The Institute for Environmental Modeling

Invasive species dynamics and control, multi-scale dynamics of populations and communities, spatial pattern analysis, graph-theoretic (network) analysis, computational ecology, conservation, and modeling.

Dr. Dali Wang
Department of Computer Science

Geographic Information System (GIS) enabled cyber-infrastructure (ArcGIS Server/Engine plus J2EE/Spring/Hibernate/Eclipse) for dynamic natural system simulation and fault-tolerant spatial control algorithms for petascale computers.

UT Graduate Students

Erin Bodine
Department of Mathematics

Mathematical ecology with an emphasis on conservation efforts, Modeling species augmentation/relocation

Ling Yin
Department of Geography

Geographical Information Systems and science, time geography, and environmental modeling.

Collaborators Outside UT

Dr. Erika Asano
Environmental Science, Policy, and Geography Program,
University of South Florida, St. Petersburg

Mathematical modeling of population, infectious disease, optimal control, ordinary and partial differential equations.

Dr. Andrew Whittle
Deparment of Mathematics
Kennesaw State University, Georgia

Mathematical models in biology, optimal control, discrete-time equations, ordinary differential equations and partial differential equations.

Research Highlights

Current and recent projects and events are linked below.


Publications arising from support through NSF Award IIS-0427471
Final submitted report for NSF Award IIS-0427471
WORKSHOP: Computational Science for Natural Resource Managers
Educational Components
High Performance Computing & GIS
Optimal Spatial Control
Invasive Species Models

Contact Information

For more information please contact:

Dr. Louis Gross: EMAIL: gross -at- tiem -dot- utk -dot- edu


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