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| About | Contributors | Research | Contact |
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.
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Principle Investigators |
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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. |
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Dr. Louis Gross Department of Ecology and Evolutionary Biology
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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 |
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Dr. Suzanne Lenhart Department of Mathematics |
Partial differential equations, optimal control, population and environmental models, natural resource modeling, disease models |
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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 |
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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. |
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Dr. Michael Fuller Department of Ecology and Evolutionary Biology
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Invasive species dynamics and control, multi-scale dynamics of populations and communities, spatial pattern analysis, graph-theoretic (network) analysis, computational ecology, conservation, and modeling. |
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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 |
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Erin Bodine Department of Mathematics |
Mathematical ecology with an emphasis on conservation efforts, Modeling species augmentation/relocation |
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Ling Yin Department of Geography |
Geographical Information Systems and science, time geography, and environmental modeling. |
Collaborators Outside UT |
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Dr. Erika Asano
Environmental Science, Policy, and Geography Program,
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Mathematical modeling of population, infectious disease, optimal control, ordinary and partial differential equations. |
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Dr. Andrew Whittle Deparment of Mathematics
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Mathematical models in biology, optimal control, discrete-time equations, ordinary differential equations and partial differential equations. |
Dr. Louis Gross: EMAIL: gross -at- tiem -dot- utk -dot- edu
Web Design by Mike Fuller and Wandi Ding