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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In the fall <strong>of</strong> 2005, he joined the Department <strong>of</strong> Mechanical<br />
<strong>Engineering</strong>-<strong>Engineering</strong> Mechanics at Michigan Technological<br />
University as an assistant pr<strong>of</strong>essor, staying there for three<br />
years until he joined the <strong>Virginia</strong> Tech faculty. His research<br />
interests are in design and analysis <strong>of</strong> manufacturing systems.<br />
He is particularly interested in decision making under uncertainty,<br />
data mining and statistical learning applications in production<br />
systems, self-healing manufacturing systems, design<br />
and analysis <strong>of</strong> value recovery operations, and micro-forming<br />
processes.<br />
Among his honors, he received the Society <strong>of</strong> Manufacturing<br />
<strong>Engineering</strong>’s (SME) 2007 Outstanding Young Manufacturing<br />
<strong>Engineering</strong> Award. In 2001, he received the Best Paper<br />
Award from the American Society <strong>of</strong> Mechanical Engineers<br />
(ASME) Design <strong>Engineering</strong> Technical Conference. He also<br />
was honored with the Best Student in ME Award from the<br />
Colegio de Ingenieros de Chile in 1996.<br />
Camelio is a member <strong>of</strong> ASME, SME, the Institute for<br />
Operations Research and the Management Sciences, and the<br />
Society <strong>of</strong> Hispanic Pr<strong>of</strong>essional Engineers.<br />
Christian Wernz received his doctorate<br />
in industrial engineering and operations<br />
research in <strong>2008</strong> from the University <strong>of</strong><br />
Massachusetts Amherst.<br />
For the past five years, as he pursued<br />
his doctorate, he served as a research assistant<br />
in the University’s Consortium for<br />
Distribute Decision Making. His research<br />
focuses on the multi-scale analysis and<br />
modeling <strong>of</strong> complex systems, stochastic<br />
Wernz<br />
processes and probability theory, decision<br />
theory, game theory and information science. The applications<br />
<strong>of</strong> his theoretical work are in manufacturing systems, management<br />
systems engineering, service operations, environmental<br />
engineering, technology management, homeland security, and<br />
supply chain networks.<br />
Among his awards and scholarships as a doctoral student,<br />
he received the 2006-07 Graduate School Fellowship for Outstanding<br />
Doctoral Students, the 2004-05 Eugene M. Isenberg<br />
Award for Entrepreneurship and Technology Management,<br />
Hamburg, Germany’s 2003-04 Research Scholarship for Post<br />
Graduate Research, and he was a German National Academic<br />
Foundation Fellow from 2000-04.<br />
Wernz received his bachelor’s and master’s degree in<br />
industrial engineering and business administration from the<br />
University <strong>of</strong> Karlsruhe, Germany in 1999 and in 2003, respectively.<br />
While he was a master’s student, he participated<br />
in an exchange program at the University <strong>of</strong> Massachusetts<br />
Amherst.<br />
His teaching interests are in management systems theory,<br />
economic decision making, production planning and control,<br />
system and processes modeling, service operations, technology<br />
management, and supply chain management.<br />
As an engineering student, he worked with various industries<br />
in an IE capacity. He had stints with BorgWarner <strong>of</strong><br />
Heidelberg, Germany, McKinsey and Company <strong>of</strong> Frankfurt,<br />
Germany, Hardigg Industries <strong>of</strong> South Deerfield, Ma., and<br />
Loyalty-Partner and BMW, both <strong>of</strong> Munich, Germany. He also<br />
interned at the Max-Planck Institute for Physics in Heidelberg.<br />
Wernz was an integral member <strong>of</strong> the University <strong>of</strong> Mas-<br />
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