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Seminar: Multi-sensory Analysis
Author:Xiaodong Pan   May 29, 2015     Hits:  

Time:14:30~16:30, June 1,2015

Room:01019, Information Building in Jiuli Campus

Title:Multi-sensory Analysis


Sensory evaluation has been widely applied in different industrial fields especially for quality inspection, product design and marketing. Classically, factorial multivariate methods are the only tool for analyzing and modeling sensory data provided by experts, panelists or consumers. These methods are efficient for solving some problems but sometimes cause important information lost. In this situation, new methods based on intelligent techniques such as fuzzy logic, neural networks, data aggregation, classification, clustering have been applied for solving uncertainty and imprecision related to sensory evaluation. These new methods can be used together with the classical ones in a complementary way for obtaining relevant information from sensory data. This report outlines the general background of sensory evaluation and the corresponding industrial interests and explicitly indicates some orientations for further development by IT researchers.

Speaker:Prof. Ludovic Koehl, ENSAIT, France


Ludovic Koehl is Full Professor and Deputy Director of Research in ENSAIT since September 2010. In 2006, Ludovic Koehl got his Qualification for leading research activities with the manuscript entitled: "Optimization of the quality and comfort of textiles by combining physical data and human knowledge". Since 1999, he has been involved in a great number of projects dealing with optimization of the quality and comfort of textiles by integrating physical measures and human knowledge in the field of technical textiles, quality of textiles as well as new usage and consumers' behavior studies for textile industry. Since 1998, he has published more than 110 papers. His research interests include pattern recognition, data mining, computer modeling and their applications in textile industry.
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