| Silvia Gonzalez Pérez |
Instituto de Quimica Aplicada, Universidad Técnica Particular de Loja, Ecuador sgonzalez@utpl.edu.ec Stay: September 2010 Ph. D. in Chemistry for Universidad Autonoma Metropolitana (México) and Universitat de Barcelona (Spain). Her main interest is theoretical modelling of heterogeneous catalysts: metals, bimetals, oxides, etc. for explain their catalytic behaviour and contribute for design of new materials with improved properties. During her stay at the Universita degli Studi di Milano-Bicocca, she will learn to QSAR analysis for in future, study molecules isolated in her lab from natural products with ethnomedicinal properties, and for find the origin of their activity and contribute for the synthesis of new molecules with new and improved properties.. |
| Carlos Mario Zuluaga Dominguez |
Food Science and Technology Institute, National University of Colombia, Bogota - Colombia cmzuluagad@unal.edu.co Stay: April - June 2010 M.Sc. on Food Science and Technology, National University of Colombia. His main interest deals with application of different multivariate statistical techniques in pattern recognition and differentiation to be applicated in foodstuff. During his stay at the Milano Chemometrics Group his research activities will focus on studying the application of regression techniques, multivariate classification and variable selection for the distinction in different types of spectral and instrumental data information (such as: NIR-MIR, e-nose and e-tongue) . He is planning to study a Ph.D. degree in Chemical Engineering, where will apply chemometrical techniques to modelate and characterize fermentative processes by using an electronic nose and traditional physicochemical analysis. |
| Mahdi Vasighi |
Department of Chemistry, Institute for Advanced Studies in Basic Sciences, Zanjan - Iran m_vasigh@iasbs.ac.ir Stay: September 2009 - October 2009 Ph.D. student on Analytical Chemistry, Institute for Advanced Studied in Basic Sciences (Development of SOM toolbox and applcation of ANNs for diagnostic purposes). His main interests deal with application of different Artificial Intelligence methods (like SOMs) in pattern recognition (e.g., Disease diagnosis, etc.). During his stay at the Milano Chemometrics Group his research duties will focus on adding some abilities to the SOM toolbox, and also improving the performance of classification using wavelet transformation. |
| Marìa Paz Gòmez-Carracedo |
Department of Analytical Chemistry, University of A Coruna, Spain mpgomez@udc.es Stay: December 2008 - December 2009 Ph.D. on Analytical Chemistry, University of A Coruna (Applications to industrial quality control of infrared spectroscopy combined with multivariate analysis). Her main interests deal with application of different chemometric methods (PLS, PCA, Potential Curves, backpropagation neural networks and variable selection methods -genetic algorithms and Procrustes rotation- to environmental and industrial problems (e.g., oil spills, urban soils, apple juice, hydrocarbon distillation, etc.)). During her stay at the Universita degli Studi di Milano-Bicocca her research duties will focus on multivariate analysis of spectral and environmental data, including three-way analysis of data cubes, variable selection and sample classification using Neural Networks. |
| Cristina Nebreda Gomez |
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Faculty of Sciences, University of Burgos, Spain ristibreda@hotmail.com Stay: December 2007 - May 2008 Durante mi estancia en la Universitá degli studi di Milano Bicocca he cursado la primera parte de un Master en Química Avanzada. Realizando la parte teórica en el master MAGESTA y la parte práctica en el grupo de Chemiometria de Milano. En lo stage he realizado un estudio para analizar la composición nutricional de plantas de vid en los años 2000 y 2001, habiendo tomado las muestras en dos órganos distintos de la planta, el limbo y el peciolo, mediante distintas metodologías multivariantes. Para ello he propuesto hipótesis de trabajo para el análisis de datos multivariantes mediante el uso de técnicas de agrupamiento, he analizado la correlación entre parámetros y he propuesto distintos modelos de clasificación según el año y según el órgano, verificando la predicción de cada uno de ellos. |
| Cristian Rojas Villa |
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Department of Food Engineering, University of Azuay,
Cuenca, Ecuador crojasvilla@uazuay.edu.ec Stay: November 2006 - May 2007 Cristian received his degree in Food Engineering from the University of Azuay, with a thesis on the application of the experimental design and utility function for the study and optimization of taste of fresh cheese. His stay in the Milano Chemometrics and QSAR research group was aimed to study the application of multivariate techniques applied to Food Science, for example: studying the application of principal component and cluster analysis for the extract information on the physical properties of oils of Ecuador. Also the application of principal component analysis to study the shelf-life of cheese cream as well as the multivariate classification and variable selection for the distinction of alcoholic beverages. Finally during his stay he has studied the introduction to molecular descriptors and genetic algorithms. Moreover the use of specific software for the multivariate data analysis: Scan, Matlab, Dart, Dragon and MobyDigs. He has been involved in a specialization for multivariate data analysis applied to complex systems of the University of Azuay. His thesis regarding this specialization was developed based on the QSAR review of the isovanillyl sweeteners derivatives with a variable selection and multivariate classification. His main interests now are the application of chemometrics techniques in Food Science. He is planning to study a Master's degree in biotechnology of dairy products. |
| Prof. Mircea V. Diudea |
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Milano Chemometrics & QSAR Research Group is pleased to invite Prof. Mircea V. Diudea (University Babes-Bolya, Cluj-Napoca, Romania) to visit our University in the period March 10-25, 2007. We look at this opportunity to discuss and formulate several scientific and educational proposals in domains of joint interest.
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