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| About site: People/Personal Homepages/A - Atiya, Amir F. |
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| About site: http://alumnus.caltech.edu/~amir/ |
Title: People/Personal Homepages/A - Atiya, Amir F. Contains personal information, research interests, publications, and links.
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 Amir Atiya
amiratiya(AT)link.netamir(AT)alumni.caltech.eduProfessorComputer Engineering Department, Cairo University Ph.D. California Institute of TechnologyWas born in Cairo, Egypt. He received his B.S.degree in 1982 from Cairo University (Egypt), and the M.S. andPh.D. degrees in 1986 and 1991 from Caltech, Pasadena, CA,all in electrical engineering. He held positions in academia,as well as several positions in financial firms.From 1997 to 2001 he was a Visiting Associate at Caltech.On leave from Cairo University, he recently held research positions in the firms Simplex Risk Management, Hong Kong, Countrywide Corporationin Los Angeles,and Dunn Capital Markets, Florida.Currently, he is a Research Scientist with Veros Systems, Texas.He has been active in research in several fields. He received the Egyptian State Prize for Best Research in Science andEngineering, in 1994. He also received the Young InvestigatorAward from the International Neural Network Society in 1996. Recently, he received the prestigeous Kuwait Prizeby the Kuwait Foundation for the Advancement of SciencesCurrently, he is an Associate Editor for IEEE Transactions Neural Networks. He was guest editor of the special issue (July 2001) ofIEEE Transactions Neural Networks on Neural Networks in Financial Engineering.,and was guest editor of the special issue (September 2005) of IEEE Transactions Neural Networks on Adaptive Learning Systems in Communications Networks.He served as Program Co-chair of the conferenceIEEE Conference on Computational Intelligence in Financial Engineering(CIFER'03), Hong Kong, March 2003. Publications Research InterestsStatistical learning theory.Neural networks.Computational finance.Trading system design.Optimization theory.Pattern recognition.Time series forecasting.Data compression.Stochastic processes.Monte Carlo methods.Application of stochastic methods and optimization theory to communications networks. Most Recent Work: Analyzing the Maximum Drawdown: Theoretical analysis of the maximum drawdown risk measure, developing formulasrelating it with the Sharpe Ratio, and analyzing its asymptotic behavior.See the papers maximum drawdown 1 (Journalof Applied Probability)and maximum drawdown 2 (Risk Magazine). A Large Scale Comparison of Machine Learning Models: A large scale and thorough study for 8 major machine learnine models for time series forecastinginvolving around 1000 time series from the M3 benchmark data.See the paper comparison 1(to appear in Econometric Reviews journal).Based on this study, we participated in the NN5 Forecasting Competition for Artificial Neural Networks & Computational Intelligence, which is a major international competition.Our rank was first out of 19 in one time series category and 3 out of 29 in other category. See Results,where there is a table of competition rankingsIn another precursor competition, theNN3 Artificial Neural Networks & Computational Intelligence Forecasting Competitionour rank was 5th (out of 44) and 6th (out of 26) in respectively the two categories.These competitions were sponsored by SAS Inc., and International Institute of Forecasters, and their resultswill appear in a special issue of International Journal of Forecasting. |
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