Tel: +972 8 6472249
Fax: +972 8 6472958
I was born in Israel (in the town of Tiberias, to the shore of the Sea of Galilee). After graduating from the Technion (B.Sc., Industrial Engineering and Management), I continued my studies and earned an M.Sc. in Operations Research (Technion, Haifa), a B.A. in Philosophy and Psychology (Haifa University), an M.A. in Psychology (Tel-Aviv University) and a Ph.D. in Statistics (Bar-Ilan University). Concurrently, I have worked several years as a management consultant (at a private consulting firm), a few more years at the research department of the Israel Institute of Productivity and several more years as a freelance management consultant. Following several years as a non-tenured senior lecturer at the Department of Industrial Engineering at Tel-Aviv University I moved to Ben-Gurion University in the summer of 1996, where I have been serving as a faculty tenured member in the Department of Industrial Engineering and Management ever since.
My research interests are in the areas of statistical modeling and quality and reliability engineering. I have published extensively in such journals as IIE Transactions, Journal of Quality & Reliability Engineering International, Communications in Statistics, International Journal of Production Research (IJPR) and Journal of the Operational Research Society (JORS). I have also authored, or co-authored, six books, a most recent of which is Response Modeling Methodology Empirical Modeling for Engineering and Science (2005, by World Scientific Publishing, Singapore). In 1993-1994 I have been a visiting professor on sabbatical at the University of Wisconsin (Madison, USA) and in 2002-2003 at McMaster University (Hamilton, Canada).
Synopsis of Current Research
My recent research (over last eight years) has focused on the development and propagation of a new modeling methodology, Response Modeling Methodology (RMM). The purpose of this methodology is to allow empirical modeling, where both the variables that are included in the model and the final structure of the non-linear model are determined by the data. RMM intends to replace current methodologies for empirical modeling in a non-normal environment, like normalization of data (by some normalizing transformation, as Box-Cox transformation), or generalized linear models (GLM). The new RMM has been applied to derive models in various branches of engineering, like chemical engineering, ecology, modeling fetal growth, reliability engineering and software quality engineering. Applications were reported also in the quality-engineering discipline (see below). The new RMM also model well random variation (via distribution fitting). This may be used, for example, for non-normal process capability analysis or for control charts implemented in real time for non-normal process distributions.
A book that introduces the new RMM in a comprehensive fashion has been published April, 2005 (see hyperlink below). Relevant articles about RMM may be found via links provided above.
Membership in Editorial Boards:
· Communications in Statistics (Theory and Methods) - Associate Editor (Past)
· Communications in Statistics (Computation and Simulation) - Associate Editor (Past)
· Quality Engineering- Editorial Board (Past)
· IIE Transactions (Quality and Reliability Engineering) - Editorial Board (Present, 2008)
· Quality Technology & Quantitative Management (QTQM) - Associate Editor (Present, 2008)
· International Journal of Operations and Quantitative Management (IJOQM) - Editorial Board (Present, 2008)
* Chair of Technical Committee 1816 Standardization in Quality and Reliability Engineering (The Standards Institution of Israel).
* Volunteering consulting to the Organizational Committee of the 18-th Maccabia (July, 2009)