Difference between revisions of "People"
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| + | Matt is an assistant professor of [http://www.cs.panam.edu Computer Science] at the [http://www.utpa.edu University of Texas-Pan American]. He graduated with his PhD in [http://www.cs.iastate.edu Computer Science] from [http://www.iastate.edu Iowa State University] in May 2010. | ||
| + | Matt's research interests focus mainly on self-assembling and self-organizing systems which display complexity arising from simple components and local interactions. There are many examples in the natural world of both living and non-living systems in which large numbers of small, autonomous pieces form systems that are extremely complex without any centralized control and from simple sets of rules. By studying existing systems and designing novel ones, he hopes to help illuminate fundamental properties of such systems which give rise to their complex behavior, including life. Additionally, the creation of complex artificial systems which self-assemble and self-organize could help to revolutionize many areas of technology. | ||
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Page: [http://self-assembly.net/mpatitz/ Homepage] | Page: [http://self-assembly.net/mpatitz/ Homepage] | ||
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===Dr. Robert Schweller=== | ===Dr. Robert Schweller=== | ||
Revision as of 20:09, 29 November 2011
People
Dr. Matthew Patitz
Matt is an assistant professor of Computer Science at the University of Texas-Pan American. He graduated with his PhD in Computer Science from Iowa State University in May 2010.
Matt's research interests focus mainly on self-assembling and self-organizing systems which display complexity arising from simple components and local interactions. There are many examples in the natural world of both living and non-living systems in which large numbers of small, autonomous pieces form systems that are extremely complex without any centralized control and from simple sets of rules. By studying existing systems and designing novel ones, he hopes to help illuminate fundamental properties of such systems which give rise to their complex behavior, including life. Additionally, the creation of complex artificial systems which self-assemble and self-organize could help to revolutionize many areas of technology.
Page: Homepage
Dr. Robert Schweller
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Page: Homepage
