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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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