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Chad Kennedy
Bio [2003]
In 1995 California-born Chad completed a
B.S. in Mechanical Engineering
from the University of Texas at Austin. During his undergraduate studies
he interned at NASA Johnson Space Center for a year. After graduation
he worked as a professional hardware and software consultant with a National
Instruments Alliance Member, VI Technology, Inc. He then began graduate
studies in Arizona State University, where he has earned both an M.S.
and PhD in Bioengineering, and is currently working as a Post Doc. In
the summer of 2002 he completed IEEE summer school training in biocomplexity
analysis and signal processing at Dartmouth. He maintains his LabVIEW
programming skills to incorporate bioreactor automation and biosignal
processing into his research. His specific interests include tissue engineering,
bioreactor design, experiment and analysis automation, microgravity and
environmental interactions with the biology, and complexity applications
and modeling in tissue constructs. Current projects focus on manipulating
vascular smooth muscle cell behavior to reduce cell migration toward preventing
post-surgical intimal hyperplasia in vasculature. Other projects involve
use of complex adaptive system modeling of cell populations to understand
cell-matrix interactions and emergent structures. In addition, he is utilizing
simple-rule principles to generate 3D complex tissue patterns to be used
as templates for rapid prototyping of tissue constructs for research and
clinical applications.
Project Title
Complex 3D Branching Structure Generation, Analysis and Comparison to
Physiological Structure for Tissue Engineering Application
Abstract
For tissue engineering and cell therapeutics to become a reality, the
diffusion limitation of nutrients to implanted cells and tissues needs
to be overcome. In addition, the complexity of certain structures, such
as the liver, have rendered traditional approaches very limited. Therefore,
the purpose of this project is to generate classes of three-dimensional
branching structures using rule based L-systems, create a method of morphological
analysis and compare the morphological indices to that of physiological
branching structures. These structures would serve as templates to build
living complex constructs using rapid tissue prototyping technologies
developed in parallel. In addition, patterns can be fabricated via traditional
rapid prototyping techniques at a much larger scale as instructional tools
for microanatomy and physiology.
Favorite 3-color Cellular Automata
Rule Chosen: 789123456
Reason: Some interesting features to
this rule are a random looking
pattern on the right side while the left border the pattern appears repeating.
The most interesting feature is the appearance of a third repeating area
between the other two that is not evident when only running 200 iterations.
Therefore, a 500 iteration graph was run.
Additional Information
Kennedy, C. "Complex 3D Branching Structure Generation, Analysis and
Comparison to Physiological Structure for Tissue Engineering Application."
Presentation at NKS 2004, Boston, MA, 2004.
[abstract]
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