ISBIS (the International Society of Business and Industrial Statistics) holds a major international Symposium every two years, focusing on important statistical issues relating to quality and productivity improvement and decision-making at all levels of business, industry, financial and health services. Recent Symposia were held at the Azores and Prague.
The next international Symposium, ISBIS-2010, will be held at St. Bernardin, Adriatic Resort & Convention Center in the coastal resort of Portoroz (Portorose) in the Slovenian Republic, during July 6 - 9, 2010, preceded by a Workshop day on July 5, 2010.
Apart from its broad coverage of topics, ISBIS-2010 will feature two particular areas of activity: an introduction to Image Analysis and its applications, by one of the two co-founders of the subject, Professor Jean Serra; and current and future developments in handling large and complex data sets, featuring a closing plenary address by Dr Lee Edlefsen, a renowned leading thinker and practitioner in the area.
There will also be sessions of particular interest to younger members of the statistical profession, organised by the ISBIS Young Statisticians group, y-BIS.
The ISBIS Biennial Symposia feature Discussion papers sponsored by the Society’s journal ASMBI (Applied Stochastic Models in Business and Industry).
Authors of invited and contributed papers will have the opportunity to submit extended versions of their papers for publication in a special issue of the Society's journal, Applied Stochastic Models in Business and Industry.
To apply for the World Bank support CLICK HERE.
For information of specific interest to Young Statisticians, CLICK HERE.
For information about the y-BIS Workshop, CLICK HERE.
DON'T FORGET ICOTS-8, which will be held in Ljubljana following ISBIS-2010. On Sunday 11 July, there will be be a special limited entry workshop on Six Sigma organised by ENBIS; and Monday, the opening day of ICOTS-8, has been designed to have sessions of specific interest to ISBIS members. ISBIS members are eligible for a special one-day registration fee to participate.
Jean Serra is, with George Matheron, the co-founder of the morphological approach to Image Analysis that has provided the basis for handling a vast range of problems in optical microscopy, histology, signal compression, multispectral imagery, material sciences and many other industrial settings. Most recently, he has turned his attention to environmental problems. Following his PhD studies at Nancy, he moved to the Paris School of Mines at Fontainebleau, where he subsequently established his own research group in Image Analysis and Mathematical Morphology. He has many writings and inventions to his name, including over 100 papers, 10 books, and several patents. He was founder and first President of the International Society for Mathematical Morphology. He has received numerous awards the ESCLANGON price, awarded by the French Society of Physics the first award of the Grand Prix of the AFCET Society (French equivalent of the IEEE), Chevalier of the National Order of Merit, France, and Doctor Honoris Causa of the Autonomous University of Barcelona.
In 2004, he wrote: "I am fascinated by the process that makes the world intelligible, and which, conversely, goes back from theory to an actual handling of things. That is the reason why I designed and patented image analysers, and why I launched several companies, for industrial control, for fingerprints, for quantitative microscopy, and others."
Lee Edlefsen is Vice President of Engineering of REvolution Computing, a venture-funded commercial open source company whose objective is to be to "R" what Red Hat has been to Linux. He holds a Ph.D. from Harvard University, and has had a long career developing data analysis and visualization software. He played a leading role in designing and developing three award-winning, commercially successful software programs (Gauss, Axum, and S-PLUS for Windows), and was the co-founder and CEO of three successful software companies.
Lee has had a long-standing interest in high performance computing and especially in the analysis and visualization of large complex data sets. Gauss, developed in the mid-1980's, was built on algorithms that allowed arbitrarily-large data sets, as, later, was Axum. Both won PC Magazine Editor's Choice awards. More recently, he served for several years as a consultant to organizations trying to deal with huge data challenges, and during that time developed ExaStat, an extremely fast interactive data analysis program capable of handling huge data sets and of distributing the computations across multiple computers and multiple cores on each computer. He is currently leading a project at REvolution Computing to add extremely fast, distributed, huge data capabilities to R.
