New Faculty Virginia Tech's College of Engineering 2008-2009
New Faculty Virginia Tech's College of Engineering 2008-2009
New Faculty Virginia Tech's College of Engineering 2008-2009
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Since the fall <strong>of</strong> 2007 he was a scientific researcher at<br />
the Delft University <strong>of</strong> Technology, The Netherlands. There,<br />
he developed integral quadratic constraint (IQC) analysis and<br />
synthesis tools as part <strong>of</strong> a European Space Agency (ESA)<br />
project.<br />
He hopes to continue his work at <strong>Virginia</strong> Tech, focusing<br />
on the development <strong>of</strong> robust tools for the cooperative control<br />
<strong>of</strong> multi-vehicle systems in complex environments. He also<br />
plans to work on reducing the computational complexity <strong>of</strong><br />
such problems through model reduction and simplified computational<br />
algorithms exploiting the problem structure. Other<br />
topics <strong>of</strong> interest to him include embedded s<strong>of</strong>tware verification<br />
and validation where all levels <strong>of</strong> system implementation are to<br />
be examined.<br />
He is interested in teaching graduate courses on semidefinite<br />
programming and its various applications in control, as<br />
well as established courses on dynamic systems and control<br />
from the undergraduate and graduate curricula.<br />
At <strong>Virginia</strong> Tech, he will be a member <strong>of</strong> the dynamics<br />
and control group in the Aerospace and Ocean <strong>Engineering</strong><br />
Department, and will also be involved in the activities <strong>of</strong> the<br />
<strong>Virginia</strong> Center for Autonomous Systems.<br />
Gary Don Seidel earned all three <strong>of</strong><br />
his degrees in aerospace engineering at<br />
Texas A&M University. He received his<br />
bachelor’s degree, magna cum laude, in<br />
1999, his master’s in 2002, and his doctorate<br />
in 2007. For the past year, he served<br />
as a postdoctoral research associate in<br />
the Texas Institute <strong>of</strong> Intelligent Bio-Nano<br />
Materials and Structures for Aerospace<br />
Vehicles and as a lecturer in the Aerospace<br />
Seidel<br />
<strong>Engineering</strong> Department at Texas A&M.<br />
Seidel’s research has primarily focused on the theoretical<br />
development and computational implementation <strong>of</strong> multi-scale<br />
models with particular emphasis on analytic and computational<br />
micromechanics approaches. This research has been part <strong>of</strong><br />
efforts to develop multi-scale models for assessing structure<br />
property relations in multi-functional nanocomposites consisting<br />
primarily <strong>of</strong> carbon nanotube reinforced polymers, and<br />
has been successful in identifying some <strong>of</strong> the key features<br />
effecting nanocomposite properties, e.g. the importance <strong>of</strong><br />
bonding relative to clustering on elastic properties, the relative<br />
importance <strong>of</strong> some <strong>of</strong> the mechanisms behind the formation<br />
<strong>of</strong> conductive networks on electrical properties, and the significance<br />
<strong>of</strong> interfacial thermal resistance on thermal properties.<br />
The results <strong>of</strong> these efforts have been presented at numerous<br />
pr<strong>of</strong>essional society meetings and conferences, and have led<br />
to the publication <strong>of</strong> four refereed journal articles. This work<br />
has been part <strong>of</strong> on-going collaborative efforts with research<br />
scientists both at Sandia National Laboratories, the National<br />
Institute <strong>of</strong> Aerospace, and Texas A&M, and has led to additional<br />
funding from both NASA and NSF.<br />
Additionally, Seidel’s research interests include the development<br />
and application <strong>of</strong> cohesive zone models for capturing<br />
damage evolution in polymer composites, methods for bridging<br />
atomistic and continuum length and time scales in nanocomposites;<br />
micromechanics modeling <strong>of</strong> materials with time-varying<br />
effective properties due to microstructural evolution, and<br />
active materials.<br />
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