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Rachata Muneepeerakul (UF/IFAS Agricultural and Biological Engineering)

368 Little Hall

Linking Resilience and Robustness and Uncovering their Trade-offs in Coupled Natural-Human Systems Robustness and resilience are concepts in systems thinking that have grown in importance and popularity.  For many complex social-ecological systems, however, robustness and resilience are difficult to quantify and the connections and trade-offs between them difficult to study.  Most studies have either focused

Zhisheng Shuai (University of Central Florida, Mathematics)

368 Little Hall

Impact of biased movement on the spread of infectious diseases Many recent outbreaks and spatial spread of infectious diseases have been influenced by human movement over air, sea and land transport networks, and/or anthropogenic-induced pathogen/vector movement. These spatial movements in heterogeneous environments and networks are often asymmetric (biased). The effects of asymmetric movement versus symmetric

Darby Smith (UF Mathematics)

368 Little Hall

Intracelluar Transport: Understanding Force Dependent Stepping Within cells, small molecules such as glucose rely on diffusion to reach needed destinations.  Larger structures, like vesicles and organelles, need directed transport to navigate the crowded cytoplasm.  Molecular motor proteins provide the means for such transport, binding to intracellular cargo and stepping along in a hand-over-hand fashion on

Subhorn Khonthapagdee (UF Mathematics)

368 Little Hall

Models of crowding effect on phytoplankton competition for nitrogen In the previous study, we consider a chemostat model of phytoplankton competing for nitrogen taking into account effects of both intra- and interspecific crowding. Crowding can be modeled as an additive density-dependent mortality rate. Crowding effects maybe classified into intra- and interspecific crowding depending on whether

Stefan Gerber (UF Soil and Water Sciences)

368 Little Hall

Reflections on the use of models to study global environmental change The work of my lab revolves around the mathematical modeling to understand interactions between major elements that cycle between atmosphere, land and ocean, between life and environment. The cycle of the major elements carbon, nitrogen and phosphorus touches our existence, in terms of feeding

Ray Huffaker (UF/IFAS Agricultural and Biological Engineering)

368 Little Hall

Empirical Nonlinear Dynamics:  Reconstructing the Dynamics of Real-World Systems from Available Data This seminar presents an empirical dynamics approach that permits available data to ‘speak first’ regarding the nature of real-world processes generating them, and thus provides valuable guidance for subsequent modeling.  This data-driven approach is compatible with the classic scientific method in which “

Fifth International Conference on Computational and Mathematical Population Dynamics (CMPD5)

Bahia Mar Fort Lauderdale Beach Fort Lauderdale, FL

The aim of Computational and Mathematical Population Dynamics 5 is to serve as a forum for researchers to exchange ideas and present mathematical results on topics including biology, ecology, environmental science, epidemiology, immunology, medical sciences, etc.  In the last three decades, population dynamics have become much more approachable due to the rapid development and advances

Tracy Stepien (UF Mathematics)

368 Little Hall

Spreading Mechanics and Differentiation of Astrocytes During Retinal Development In embryonic development, formation of the retinal vasculature is critically dependent on prior establishment of a mesh of astrocytes. Astrocytes emerge from the optic nerve head and then migrate over the retinal surface in a radially symmetric manner and mature through differentiation.  We develop aPDE model describing

Maia Martcheva (UF Mathematics)

368 Little Hall

Zika Modeling The Zika virus (ZIKV) epidemic has caused an ongoing threat to global health security and spurred new investigations of the virus. Use of epidemiological models for arbovirus diseases can be a powerful tool to assist in prevention and control of the emerging disease. In this talk, we introduce six models of ZIKV, beginning with a