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