Seventh GECCO Undergraduate Student Workshop Wednesday, July 8, 2009, 2:00 –6:00 PM
to be held as part of the
2009 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2009)
July 8-12, 2009 (Wednesday-Sunday)
Delta Centre-Ville Hotel 777
Organized by ACM SIG-EVO
www.sigevo.org/GECCO-2009
Important Dates
Submission
deadline: Wednesday, March 25, 2009
Acceptance
notification: Friday, April 3, 2009
Camera ready
deadline: Wednesday, April 22, 2009
Workshop
Description
The goals of the Undergraduate Student Workshop are to:
Workshop Format We anticipate a half-day workshop with approximately 8 presentations, organized according to the following schedule: 14:00 – 14:10 Workshop welcome 14:10 – 15:50 Four presentations (20 minutes + 5 minutes Q&A each) 15:50 – 16:10 Coffee break and informal discussion 16:10 – 17:50 Four presentations (20 minutes + 5 minutes Q&A each) 17:50 – 18:00 Discussion and planning for future workshops
http://www.sigevo.org/gecco-2009/papers.html. Papers should be submitted in PDF format only and should be submitted via email to ayworkshops@uaa.alaska.edu. Be sure to place the text "GECCO 2009 UGWS" in the subject line of your message. For additional information, please refer to the workshop web site at http://math.uaa.alaska.edu/~ugws2009. In addition, each paper must be accompanied by an email message from a supervising faculty member verifying that the author(s) performed the research
described in the paper while enrolled as undergraduate students during the 2007-8 and/or 2008-9 academic year.By custom, faculty members are not named
co-authors of Undergraduate Student Workshop papers, although they may be recognized in the acknowledgments
section of the paper.
Faculty Participation
Since many undergraduate students do not normally read the EC newsgroups and mailing lists, faculty participation is a key element for promoting this workshop. Faculty who have taught undergraduate courses related to evolutionary computation, or who have supervised undergraduate research activities in the field, are encouraged to consider which of their outstanding students might wish to submit papers for the workshop. In addition, faculty members who are interested in undergraduate education may serve on the workshop panel. The panel will provide an excellent opportunity for sharing project ideas and pedagogy related to evolutionary computation. Interested faculty members should contact the workshop organizers at ayworkshops@uaa.alaska.edu. Organizing Committee
Each member of the commi Clare Bates Congdon
Laurence D. Merkle
Rose-Hulman Institute of Technology 5500 Wabash Ave., CM-103, Terre Haute, IN 47803 USA PH: 1-812-877-8474 FAX: 1-812-872-6060 laurence.d.merkle@rose-hulman.edu Larry Merkle teaches computer science, mathematics, and computer engineering courses and advises senior thesis students at Rose-Hulman Institute of
Technology. He served as an active duty officer in the United States Air Force from 1988 through 2002, and continued to serve as a reservist through
2007. He became involved in evolutionary computation in 1991, and has been involved in its application to a number of problems of interest to the military,
including design of materials with nonlinear optical properties, design of high-power microwave sources, modeling of biochemical processes in molecular
computing applications, and enhancing the effectiveness of compilers for polymorphous computing architectures. During the summer of 2004, he held a
Visiting Professor position with the Air Force Research Laboratory where he studied evolvable hardware.
Frank W. Moore
University of Alaska Anchorage SSB 154 L, 3211 Providence Dr., Anchorage, AK 99508 USA PH: 1-907-786-4819 FAX: 1-907-786-6162 affwm@uaa.alaska.edu Frank Moore is an Associate Professor of Computer Science at the University of Alaska Anchorage. He received his BSCE, MSCE, and PhD from Wright State University. He has taught computer science, computer engineering, and electrical engineering courses at the undergraduate and graduate level since 1997. In addition, he has over six years of industry experience developing software for a wide variety of military projects. His recent research at the Air Force Research Laboratory has used evolutionary computation to optimize transforms that outperform wavelets for signal compression and reconstruction under conditions subject to quantization and thresholding.
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