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Event(s) on September 2007
- Tuesday, 11th September, 2007
Title: Global Conformal Parametrization and its Applications to Human Brain Mapping Research Speaker: Mr. Ronald Lok Ming Lui, Department of Mathematics, UCLA, USA Time/Place: 11:30 - 12:30
Abstract: Human brain cortical surface is a very complicated surface. Computational problems arise when integrating and comparing brain data. In order to analyze and compare brain data more effectively, it is desirable to map the surface to some simple domain, such as the sphere or rectangles, while retaining the geometric information on the surface. Conformal mapping is one type of maps that effectively fits this purpose. In this talk, I will describe three effective algorithms for conformal parametrization of the brain surface. It allows us to map the brain surfaces to the sphere, rectangle or punctured disk. With these techniques, a lot of human brain mapping problems can be simplified. In the second part of my talk, I will describe how we can apply the conformal parametrization to various medical applications. In particular, I will describe how we can use the conformal map to automatic detection of brain anatomical features, solving variational problems on surfaces, landmark matching registration between brain surfaces, etc.
- Tuesday, 18th September, 2007
Title: Data Envelopment Analysis and its Applications Speaker: Prof. Cecilio Mar Molinero, Kent Business School, University of Kent, UK Time/Place: 11:30 - 12:30
Abstract: Data Envelopment Analysis (DEA) is now well established as a tool for permance assessment. DEA relies on a series of multiple comparisons between units that use the same inputs to produce the same outputs, and determines which units make best use of the available resources. DEA is not a statistical technique and it is difficult to establish if an input or an output is necessary in the formulation or it contributes little to the model. In this seminar, I will present an approach to the analysis of DEA specification based on the estimation of a multiplicity of models, whose similarities and differences are later explored by means of multivariate analysis techniques. I will present examples of application of the technique to the exploration of microcredit institutions (banking institutions that make small loans to the poor), and to the analysis of risks and rewards in a portofolio of insurance policies held by a major Spanish company.