Gail Rosen,

Georgia Institute of Technology


Using signal processing, we wish to gain knowledge about biological complexity, as well as using this knowledge to engineer better technology. Three areas are identified as critical to understanding bio-complexity: 1) understanding DNA, 2) understanding protein pathways, and 3) evaluating overall biological function subject to external conditions. First, DNA is investigated for coding structure and redundancy, and a new tandem repeat region, an indicator of a neurodegenerative disease, is discovered. Second, the way a single-cell mobilizes in response to a chemical gradient, known as chemotaxis, is examined. Inspiration from chemotaxis receptor clustering is shown to improve sensor array performance of a gradient-source (chemical/thermal) localization algorithm. Implementation of the array is evaluated in diffusive and turbulent environments. We also show how to improve sensor array localization in turbulence by using the cross-correlation method. The work illustrates how signal processing is a tool to reverse engineer complex biological systems, and how our better understanding of biology can improve sensor network localization.


Date: 2006-Feb-10     Time: 15:00:00     Room: 425

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