2007 Frontiers in Design & Simulation Workshop
Wednesday, May 16, 2007.
(with social event on Tuesday evening after the CPDA workshop)
Georgia Institute of Technology Campus
Speaker: Chris Paredis
Dr. Paredis is an Assistant Professor in the G.W. Woodruff School of Mechanical Engineering at
Georgia Tech. He received his M.S. degree in Mechanical Engineering from the Catholic University
of Leuven (Belgium) in 1988, and his M.S. and Ph.D. in Electrical and Computer Engineering from
Carnegie Mellon University in 1990 and 1996, respectively. From 1996 to 2002, he was a Research
Scientist at the Institute for Complex Engineered Systems at Carnegie Mellon University.
Dr. Paredis has a broad, multidisciplinary background. In his research, he combines
aspects of information technology, simulation, and systems theory to support the design of
mechatronic systems, focusing in particular on decision making under uncertainty in conceptual design.
Dr. Paredis received the 2007 CETL/BP Junior Faculty Teaching Excellence Award and the 2007 SAE Ralph
R. Teetor Educational Award. His the vice-chair of the ASME Computers and Information in Engineering (CIE)
Division, and is the Chair for the 2007 CIE annual conference.
Talk: How to model and support system-level design decisions in SysML?
This presentation will define a framework for organizing knowledge and information in support
of systems design. The knowledge and information is formalized in a modular fashion in the
OMG SysML language. SysML provides a low-level ontology for representing knowledge and information
for systems engineering. We build on this ontology to store models about different aspects of system
components in a knowledge repository. The models are organized in Multi-Aspect Component Models --
a container in which all the models are grouped that describe a particular component from different
disciplinary perspectives, at different levels of abstraction, and in different mathematical formalisms.
We will illustrate how such Multi-Aspect Component Models can be used to quickly build system-level
models through a process of composition.