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    Bayesian Analysis of Stochastic Processes

    date, place: February 2015 - March 2015, Ph.D course - Universities of Pavia and Milano (Bicocca, Politecnico e Statale) - Italy

    Lecturer: Fabrizio Ruggeri

    The course presents (relatively simple) concepts of Bayesian inference on Markov chains in discrete and continous, Poisson processes homogeneous and non-homogeneous, with applications in reliability and queues. The reference book is Rios Insua, D., Ruggeri, F., Wiper, M.P. (2012). Bayesian Analysis of Stochastic Process Models, Wiley, Chichester, UK.

    Bayesian Statistics

    date, place:  March 10-11 2015, Ph.D program in "Scienze Sociali e Statistiche" - University Federico II, Napoli - Italy

    Lecturer: Fabrizio Ruggeri

    This short course will introduce the principal aspects that characterize the Bayesian statistical approach, through the use of elementary models.

    Bayesian Statistics

    date, place: October 2014 - Jenuary 2015, Master course- Politecnico di Milano - Italy

    Lecturers: Alessandra Guglielmi and Raffaele Argiento

    This course introduce the students to the Bayesian approach to the inference. A very short program of the course include the following arguments: Bayes Theorem, a priori and a posteriori distributions; exchangeability, predictive distributions; prior choice. goodness of fit. model choice; MCMC algorithms; linear models; survival analysis; nonparametric Bayesian models.

    Mathematical Analysis 2

    date, place: October 2014 - Jenuary 2015, Master course- Politecnico di Milano - Italy

    Lecturer: Ettore Lanzarone

    The aim of the course is to present, as a continuation of the course of Mathematical Analysis 1, some topics of Mathematical Analysis indispensable for the conscious use of languages and instruments for physics and engineering disciplines.

    Introduction to Statistics

    date, place: November 2014 - December 2014, PhD in Statistics- Bocconi University - Italy

    Lecturers: Antonio Pievatolo and Raffaele Argiento

    This course addresses the linear regression model in its first part and the linear mixed model in its second part. For the first part the reference book is Statistical Models, by A.C. Davison, Cambridge University Press, 2008, Chapter 8. For the second part we will refer to Linear and Generalized Linear Mixed Models and Their Applications, by J. Jiang, Springer, 2007. Knowledge of linear algebra and probability are pre-requisites. Practical data analysis will be carried out using the R computing environment during the TA's classes

    Computer Graphics for engineering games and simulation

    date, place: October 2012-December 2013, Master course at University of Genova - Italy

    Lecturers: Bianca Falcidieno, Marco Attene, Chiara Eva Catalano, Michela Mortara, Francesco Robbiano

    The course covers the following topics: triangles meshes, data structures for meshes and mesh processing. Curves, surfaces and subdivision surfaces. Shape analysis and comparison, segmentation, skeleton extraction. Semantic annotation.

    An Introduction to Ricci Flow and Volumetric Approximation with Applications to Shape Modeling

    date, place: December 5 2014, Course at SIGGRAPH ASIA 2014 Conference , Shenzhen - China

    Lecturers: Giuseppe Patane IMATI-CNR, Xin Shane Li (Louisiana State University), David Xiangfeng Gu (State University of New York at Stony Brook), Ronald Lok Ming Lui (Department of Mathematics, The Chinese University of Hong Kong)

    Extending a shape-driven map to the interior of the input shape and to the surrounding volume is a difficult problem since it typically relies on the integration of shape-based and volumetric information, together with smoothness conditions, interpolating constraints, preservation of feature values at both a local and global level. This survey discusses the main volumetric approximation schemes for both 3D shapes and d-dimensional data, and provides a unified discussion on the integration of surface-based and volume-based shape information. Then, it describes the application of shape-based and volumetric techniques to shape modeling through volumetric parameterization and polycube splines; feature-driven approximation through kernels and radial basis functions. We also discuss the Hamilton's Ricci flow, which is a powerful tool to compute the conformal shape structure and to design Riemannian metrics of manifolds by prescribed curvatures. We conclude the presentation by discussing applications to shape analysis and medicine.

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    Course on Knowledge formalization in medical applications

    date, place: June 6-7 2013, IMATI - CNR, Genova - Italy

    Lecturers: Bianca Falcidieno, Michela Spagnuolo, Franca Giannini, Giuseppe Patané, Chiara Eva Catalano, Asan Agibetov, Imon Banerjee

    This course will address methods and techniques for knowledge formalization in medical ontologies. The course will take place at CNR, Area della Ricerca di Genova (15th floor), Via De Marini 6, Italy, on 6, 7 June 2013. The course is organized by CNR-IMATI (Bianca Falcidieno, Michela Spagnuolo, Giuseppe Patanè) within the scope of POLITECMED - Polo Ligure delle Tecnologie Medicali.

    Surface- and Volume-based Techniques for Shape Modeling and Analysis

    date, place: November 21 2013, Course at SIGGRAPH ASIA 2013 Conference , Hong Kong - China

    Lecturers: Giuseppe Patane IMATI-CNR, Xin Shane Li (Louisiana State University), David Xiangfeng Gu (State University of New York at Stony Brook)

    This SIGGRAPH ASIA 2013 course revises the main out-of-sample approximation schemes for both 3D shapes and d-dimensional data, and provides a unified discussion on the integration of surface- and volume-based shape information. Then, it describes the application of shape-based and volumetric techniques to shape modeling and analysis through the definition of volumetric shape descriptors; shape processing through volumetric parameterization and polycube splines; feature-driven approximation through kernels and radial basis functions. We also discuss the Hamilton’s Ricci flow, which is a powerful tool to compute the conformal structure of the shapes and to design Riemannian metrics of manifolds by prescribed curvatures and shape descriptors using conformal welding. We conclude the presentation by discussing applications to shape analysis and medicine, open problems, and future perspectives.

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  • ABS15 - 2015 Applied Bayesian Statistics School: Modern Bayesian Methods and Computing for the Social Sciences

    date, place: June, 8-12, 2015, Villa del Grumello, Como - Italy

    Lecturers: Jeff Gill (Washington University), Giacomo Zanella (University of Warwick)

    Organizers: Fabrizio Ruggeri, Guido Consonni (directors), Raffaele Argiento (executive director)

    The Applied Bayesian Statistics summer school has been running since 2004. It aims to present state-of-the-art Bayesian applications, inviting leading experts in their field. Each year a different topic is chosen  

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    School on Hydro-meteorological modelling using e-Science environments

    date, place: September 22-25, 2014, Technical University of Madrid, Madrid - Spain

    Lecturers: Emanuele Danovaro, Antonella Galizia

    The school is organized in the framework of the DRIHM project, and aims to describe how to link meteorological, hydrological and hydraulic models into efficient modelling chains and how to run them on European e-infrastructures.  

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    School on Semantic Data Processing for Biomedical Applications

    date, place: March 12-13, 2014, IMATI - CNR, Genova - Italy

    Lecturers: Giuseppe Patané, Michela Spagnuolo, Chiara Eva Catalano, Asan Agibetov, Imon Banerjee

    The summer school in organized by CNR-IMATI with the support of the FP7 Marie Curie Initial Training Network MultiScaleHuman and the Regional Hub Politecmed.

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    IsoGeometric Analysis: a New Paradigm in the Numerical Approximation of PDEs

    date, place: June 14-22 2012, Cetraro, Italy

    Organizers: A. Buffa and G. Sangalli

    CIME-EMS Summer School in IsoGeometric Analysis: a New Paradigm in the Numerical Approximation of PDEs.

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    Summer School Course on 3D Shape Modeling and Analysis Through Functional and Metric Spaces

    date, place: July 16-August 3, 2012, Kunming University of Science and Technology Yunnan - China

    Lecturers: Giuseppe Patané

    3D shapes are ubiquitous in several applications, which range from computer graphics to simulation, from Computer Aided Design to security, from bioinformatics to medicine. In recent years, the need of modeling 3D shapes, together with their underlying behavior and content, has attracted a growing interest from different research fields, which include computer graphics, geometry, topology, machine learning, and numerical analysis. This course provides an overview on theoretical and computational methods for modeling and analyzing 3D shapes through functional and metric spaces, which provide an effective and unified way to address several problems such as shape parameterization, approximation, segmentation, abstraction, and comparison. The course is part of the 3-D Geometry/Imaging Summer School, July 16-August 3, 2012.

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    i-MATH school "Coupled PDEs in multiphysics and industrial applications"

    date, place: June 14-25 2010, CIEM, Castro Urdiales, Spain

    Organizers: A. Bermúdez de Castro, E. Casas Rentería, R. Muñoz Sola, R. Vázquez Hernández

    In technological developments in which the analysis and design of their components using lab experiments is very expensive or even impossible to do, they should be substituted by numerical simulation. This numerical resolution should take into account the coupling between electromagnetic and fluid mechanics models. In this school we would like to tackle the different aspects of this analysis and the numerical resolution of these models and its coupling. The School will have a 2 weeks duration with a total of 45 working hours. It will consist of 8 courses of different duration taught by high standing professors and three mini-workshops devoted to the explanation of real problems from the industrial fields. Participants will include pre and postdoctoral students either of national or international origin; some will be granted scholarships to cover registration, accommodation and (partially) living expenses.

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  • Reasoning about Shape in Complex Datasets: Geometry, Structure and Semantics

    date, place: April 2014, Eurographics2014, Strasbourg - France

    Lecturers: Silvia Biasotti, Michela Mortara, Michela Spagnuolo

    The purpose of this tutorial is to introduce the fundamental mathematical tools for the analysis of collections of 3D models and overview the state-of-the-art techniques. We overview the mathematical concepts that root on Differential Geometry and Topology and show examples about surface correspondence, retrieval and attribute transfer. Then, overview the fundamental tools for the analysis of the variability in 3D shape collections, outlining the potential of statistical analysis on non-linear manifolds. Finally, we discuss the potential of segmentation and structural shape analysis to achieve smart and semantic representations of digital objects.

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    Spectral, Curvature Flow Surface- and Volume-Based Techniques for Shape Modeling and Analysis

    date, place: May 22-25 2012, SMI (Shape Modeling International) 2012, Texas - USA

    Lecturers: G.Patanè CNR-IMATI, X.D. Gu (Stony Brook University, USA ), X.S. Li (Louisiana State University, USA), M. Spagnuolo CNR-IMATI

    Extending a shape-driven map to the interior of the input shape and the surrounding volume is a difficult problem since it typically relies on the integration of shape-based and volumetric information, together with smoothness conditions, interpolating constraints, preservation of feature values at both a local and global level. In this context, this tutorial revises the main out-of-sample approximation schemes for both 3D shapes and n-dimensional data, and provides a unified discussion on the integration of surface- and volume-based shape information. Then, it describes the application of shape-based and volumetric techniques to shape modeling and analysis through the definition of volumetric shape descriptors; shape processing through volumetric parameterization; feature-driven approximation through kernels and radial basis functions. We also discuss the Hamilton’s Ricci flow, which is a powerful tool to compute the conformal structure of the shapes and to design Riemannian metrics of manifolds by prescribed curvatures and shape descriptors using conformal welding. We conclude the presentation by discussing open problems and future perspectives. 

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  • Seminario Franco-Italiano (IMATI-CNR Pavia, LJLL Paris)

    date, place: : IMATI-CNR, Pavia

    Organizers: IMATI-LJLL

    The French-Italian Seminar of applied mathematics, organized by the IMATI-CNR of Pavia and the Laboratoire Jacques Louis Lions of Paris, aims at illustrating and developing scientific collaboration between French and Italian researchers in the field of applied mathematics. It is held by videoconference every first Friday (working  day) of the month, in the conference room of  IMATI-CNR Pavia with, alternately, a French lecturer and one Italian.

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    Applied Mathematics Seminar

    date, place: IMATI-CNR, Pavia

    Organizers: IMATI - Department of Mathematics, University of Pavia

    The Applied Mathematics Seminar, organized by the IMATI-CNR of Pavia and the Department of Mathematics of the University of Pavia, usually meets on Tuesdays at 3 pm in the Conference Room of IMATI-CNR, Pavia. Refreshments are offered after the talk. For further information, please see the web page or contact the organizers Carlo Lovadina, Stefano Lisini and Laura Spinolo.

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