Quantitative Bioscience at the University of Tennessee

Nonlinear BioDynamics

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.

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

NIMBioS
1122 Volunteer Blvd., Suite 106
University of Tennessee
Knoxville, TN 37996-3410
PH: (865) 974-9334
FAX: (865) 974-9461
Contact NIMBioS

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.