Sponsor the IEEE Distinguished Lecture
(Room 11.26, Torre Norte, IST, 22 September 2008, 14h30)
Let Darwin and the Bees Help Improve your Designs:
Nature Inspired Optimization Techniques in Antenna Engineering
Prof. Yahya Rahmat-Samii
Department of Electrical Engineering
University of California, Los Angeles, USA
Email: firstname.lastname@example.org, http://www.antlab.ee.ucla.edu
Engineers are constantly challenged with the temptation to search for optimum solutions for complex engineering system designs. The ever increasing advances in computational power have fueled this temptation. The well-known brute force design methodologies are systematically being replaced by the state-of-the-art Evolutionary Optimization (EO) techniques. In recent years, EO techniques are finding growing applications to the design of all kind of systems with increasing complexity. Among various EO’s, nature inspired techniques such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) have attracted considerable attention. GA utilizes an optimization methodology which allows a global search of the cost surface via the mechanism of the statistical random processes dictated by the Darwinian evolutionary concept (adaptation, selection, survivability and mutation). PSO is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms of bees looking for the most fertile feeding location applying their cognitive and social knowledge. This presentation will focus on: (a) an engineering introduction to GA and PSO by describing in a novel fashion the underlying concepts and recent advances for those who have used these techniques and for those who have not had any experiences in these areas, (b) demonstration of the potential applications of GA’s and PSO’s to a variety of designs including miniaturization of multi-band, wideband, fractal and UWB antennas in personal communications, textile, wearable and ingestible medical applications, antennas for remote sensing and satellite communication applications, arrays for radio astronomy imaging, design of electromagnetic and photonic bandgap (EBG & PBG) structures, etc, and (c) assessment of the advantages and the limitations of these techniques.
Yahya Rahmat-Samii is a Distinguished Professor, holder of the Northrop-Grumman Chair in electromagnetics and the past chairman of the Electrical Engineering Department at the University of California, Los Angeles (UCLA). Before joining UCLA in 1989, he was a Senior Research Scientist at NASA's Jet Propulsion Laboratory. Dr. Rahmat-Samii was the 1995 President of IEEE Antennas and Propagation Society and was appointed an IEEE Distinguished Lecturer presenting lectures internationally. Dr. Rahmat-Samii was elected as a Fellow of IEEE in 1985 and a Fellow of IAE in 1986 and also served as the Vice President of AMTA. Dr. Rahmat-Samii has authored and co-authored over 720 technical journal articles and conference papers and has written 25 book chapters and three books entitled, Electromagnetic Optimization by Genetic Algorithms, and Impedance Boundary Conditions in Electromagnetics and Implanted Antennas in Medical Wireless Communications. He is also the holder of several patents. His research contributions cover a diverse area of electromagnetics and antennas. Dr. Rahmat-Samii has received numerous awards, including the 1992 and 1995 Wheeler Best Application Prize Paper Award for his papers published in the IEEE Antennas and Propagation Transactions, 1999 University of Illinois ECE Distinguished Alumni Award, IEEE Third Millennium Medal, and AMTA’2000 Distinguished Achievement Award. In 2001, Rahmat-Samii was the recipient of an Honorary Doctorate in Physics from the University of Santiago de Compostela, Spain. In 2001, he was elected as a Foreign Member of the Royal Flemish Academy of Belgium for Science and the Arts. In 2002, he received the Technical Excellence Award from JPL and in 2005 he was the recipient of the URSI Booker Gold Medal. He is the recipient of the 2007 Chen-To Tai Distinguished Educator Award of the IEEE Antennas and Propagation Society. In 2008, he was elected to the membership of the US National Academy of Engineering (NAE). Prof. Rahmat-Samii is the designer of the IEEE AP-S logo which is displayed on all IEEE AP-S publications.
Speaker: Noah A. Smith
Recent Developments with Weighted Grammars in Statistical Natural Language Processing
This talk introduces statistical natural language processing (NLP), an exciting field that marries machine learning to computational linguistics. After a basic introduction to NLP and some of the challenging problems, I will discuss some recent work by my research group on weighted grammars: learning weighted grammars efficiently from
annotated corpora, applying them to problems like question answering and translation, and ©\ perhaps surprisingly ©\ learning them from unannotated corpora using unsupervised methods.
Noah Smith is an assistant professor at Carnegie Mellon University. His research has spanned statistical machine translation, parallel corpus discovery, unsupervised statistical grammar induction, efficient morphological and syntactic processing algorithms, weighted logic programming, and the formal study of weighted grammars. He is a Hertz Fellow (2001©\6), the recipient of an IBM Faculty Award (2007), and a member of the DARPA Computer Science Study Panel (2007).
Tuesday, July 1st 2008, 10:00 am
Torre Norte, EA3, Instituto Superior T¨¦cnico More Information..