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Quantitative Bioscience at the University of Tennessee

Nonlinear BioDynamics

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Many biological processes, such as heartbeat, circadian cycle, metabolism, and brain activity, exhibit oscillatory and rhythmic phenomena. Because of their nonlinear, multiscale complexities, these systems defy understanding based on the conventional reductionist's approach, in which one attempts to understand a system's behavior by putting together all the constituent pieces that have been examined separately. Researchers at UT aim to develop a comprehensive computation and analysis framework for system-level understanding of the dynamics of biological systems using techniques from nonlinear dynamics and to educate students at various levels on the wide variety of nonlinear phenomena in biological systems.

Researcher Department Research Interests
 photo. Vasilios Alexiades
Email
Mathematics Math biology (chemotaxis, action potentials, phototransduction), phase change processes (laser ablation, solidification), CFD, parallel computing
S. Lenhart. Suzanne Lenhart
Email
Mathematics Optimal control, population and environmental models, natural resource modeling, disease models
S. Wise. Steven Wise
Email
Mathematics Mathematical biology, computational materials science, computational and applied math
X. Zhao. Xiaopeng Zhao
Email
Mechanical, Aerospace, and Biomedical Engineering Biommedical signal processing, medical informatics, dynamics and control, computational biology



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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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