dMining Technology Team Bio's
Dr. Edward J. Wegman, Ph.D.
Edward J. Wegman received his Ph.D. degrees in mathematical
statistics from the University of Iowa in 1968. Subsequently, he spent 10 years on the
faculty of the world-class
Department of Statistics at the University of North Carolina. In 1978, Professor Wegman went to the Office of Naval Research (ONR) where he was the Head of the Mathematical Sciences Division. In this role, he had responsibility Navy-wide for basic research programs in applied mathematics, statistics and probability, systems theory, operations research, discrete mathematics, communication theory, and numerical analysis and computational architectures. As part of his duties at the Office of Naval Research, coined the phrase, computational statistics, and developed a high profile research area around this concept. The idea was to focus on techniques and methodologies which could not be achieved without the capabilities
of modern computing resources. This program led to a revolution in contemporary statistical graphics. Dr. Wegman was the original program director of the basic research program in Ultra High Speed Computing at the Strategic Defense Initiative's Innovative Science and Technology Office (Star Wars Program). As the SDI program officer, Dr. Wegman was responsible for programs in software development tools, highly parallel architectures and optical computing.
Dr. Wegman is the Bernard J. Dunn Professor of Information Technology and Applied Statistics, the Chair of the Data Sciences Program in the School of Computational Sciences, and the Director of the Center for Computational Statistics. He was the founding Chair
of the Department of Applied and Engineering Statistics.
He served as President of the International Association for Statistical Computing. He has published more than 160 papers and eight books. His professional stature has been recognized by his election as Fellow of the American Statistical Association, the American Association for the Advancement of Science, the Washington Academy of Science and the Institute of Mathematical Statistics. In addition he was elected as a Senior Member of IEEE. Dr. Wegman has been elected to membership in the International Statistical Institute. Dr. Wegman has also received numerous Navy awards including the Navy's Meritorious Civilian Service Medal. Wegman has received the 1990 Distinguished Faculty Award and the 1999
Outstanding Research Award from George Mason University, the 1999 Army Wilks Medal from the U.S. Army, the 2002 Founder's Award from the American Statistical Association, and the 2004 Distinguished Alumni Achievement Award from the University of Iowa.
Dr. Ali S. Hadi, Ph.D.
Ali S. Hadi is a Stephen H. Weiss Presidential Fellow and
Professor Emeritus, Department of Statistical Sciences, Cornell University and Professor
of Mathematical, Statistical and Computing
Sciences, Department of Mathematics, The American University in Cairo. Dr. Hadi received his Ph. D. degree with honors from New York University in 1984. Prior to joining AUC in 2000, he has worked at Cornell University and has held the ranks of assistant, associate, and full professor and has served as the chair of the Department of Social Statistics from 1994-1998.
Dr. Hadi is a former Distinguished Visiting Professor Clemson University and a former Visiting Professor at the University of Castilla La Mancha (Spain), Neuchâtel University (Switzerland),
University of Carlos III (Spain), Cantabria University (Spain), Umea University (Sweden), and New York University.
Dr. Hadi has written five books, four book chapters, and more than 80 articles in refereed journals. He has taught graduate and undergraduate courses in statistics, mathematics, expert systems, and artificial intelligence; and has won several excellence-in-teaching awards. He is a Co-Editor of the Journal of Economic and Social Research, Editor-in-chief of a Special issue of
the International Journal of Statistical Sciences, a past Editor of the Newsletter of the International Environmetrics Society, an associate editor of Environmetrics, and an associate editor of TEST: Journal of the Spanish Statistical and Operations Research Society. He is an elected Fellow of the American Statistical Association and an Elected member of the International Statistical Institute.
Dr. Rida E. Moustafa, Ph.D.
Rida E. Moustafa received his Ph.D. degree from George Mason
University in 2001, with the best dissertation award.
Dr. Moustafa, Authors of many articles on the subject of data Mining and KDD with 20 years experience in Computational Mathematics and Computational Statistics related to Information Technology (IT) applications such as data mining, data analysis and visualization, clustering, pattern detection, algorithm development, modeling, system design and implementation. He is also a frequent invited speaker at conferences and regular seminars on the subject of
visualization and data mining.
Dr. Moustafa, Performed in depth research and analysis for prestigious universities such as Johns Hopkins, George Mason and the American University in Cairo (AUC); written numerous publications on visual clustering, data mining and visualization; genetic algorithms for adaptive approximation and gene mapping; and application of artificial intelligence learning evolution models applied to signal processing problems.
Recently served as a referee member on the Scientific Committee of the following Journals: International Journal of Computational Geometry and Applications (IJCGA), Journal of Mathematics and Application (JMA), IEEE transaction on Visualization and Computer Graphics (TVCG), Journal of Probability and Statistical Sciences (JPSS), Computing in Science & Engineering (CiSESI): Special Issue - Anatomic Rendering and Visualization. Also served as a referee member on the following proceedings: COMPSTAT 2004, Hawaii International Conference on Statistics ( Mathematics and Related Fields (HIC) 2005 and 2006). The World Multi-Conference on Systematic, Cybernetics and Informatics (WMSCI 2005, 2006).
Dr. Moustafa organized and chair sessions on computational statistics, intrusion detection and text and web Mining ( HIC 2005, WMSCI 2005, HIC 2006, Interface 2009).