Featured project

Clustering of multivariate Big Data

Clustering is the division of a collection of data into groups, or clusters, such that points in the same cluster have a small distance from one another, while points in different clusters are at a large distance from one another. When the data are not very high dimensional, but are too many to fit in memory, because they are part of a huge dataset, or because they arrive in streams and must be processed immediately or they are lost, specific algorithms are needed to analyse progressively the data, store in memory only a small number of summary statistics, and then discard the already … [Read More...]

Featured ECMI node: Università degli Studi di Milano

Clustering of multivariate Big Data

Clustering is the division of a collection of data into groups, or clusters, such that points in the same cluster have a small distance from one another, while points in different clusters are at a … [Read More...]

13th International Symposium on Mathematical Morphology (ISMM’2017)

The Center for Mathematical Morphology, MINES ParisTech, is organizing on the occasion of the 50 years of its foundation, the 13th International Symposium on Mathematical Morphology (ISMM’2017), in … [Read More...]

Sébastien Drouyer: PhD at the CMM, MINES ParisTech

My name is Sébastien Drouyer and I am currently finishing a PhD thesis in the Center for Mathematical Morphology (CMM) at MINES Paristech, under the supervision of Serge Beucher and Michel Bilodeau. … [Read More...]

ECMI posts

Sébastien Drouyer: PhD at the CMM, MINES ParisTech

My name is Sébastien Drouyer and I am currently finishing a PhD thesis in the Center for Mathematical Morphology (CMM) at MINES Paristech, under the supervision of Serge Beucher and Michel Bilodeau. The PhD is financed by IFP Energies Nouvelles where I also work with Maxime Moreaud and Loïc Sorbier. Mathematical morphology is a field […]

Analysis and Optimization of Polymer Spin Packs

Spin packs are widely used for the production of synthetic fibers and nonwoven materials. In a typical spin pack polymer melt enters through a small inflow tube. Within a cavity the polymer is distributed over the whole cross-sectional area of the device before it passes several layers of filters. Finally, the material is pressed through […]

An Applied PhD at the Fraunhofer ITWM

My name is Stephan Wackerle and I am a PhD student in a cooperation between the Department for Flow and Material Simulation (SMS) at the Fraunhofer Institute for industrial Mathematics (ITWM) and the Technical University of Kaiserslautern. This cooperation is a great opportunity to gain already whilst the PhD-studies a lot of insights into the […]

Cancer Treatment via Laser-induced Thermotherapy

Starting with the beginning of this year the German Federal Ministry of Education and Research funds the new project “ProMT”: Prognostic model based online MR-Thermometry for minimally invasive thermoablation to treat liver tumors. This is a cooperation of researchers from TU Kaiserlautern, the Fraunhofer ITWM and the FAU Erlangen-Nürnberg. The modeling of cancer growth and cancer […]

European Study Group with Industry (ESGI128) June 12-16th in Limerick

MACSI looks forward to welcoming ECMI members to Limerick for the 128th European Study Group with Industry. The 2017 Irish Study Group takes place on the earlier dates of 12-16th of June. Registration, details of already registered participants can be found on our website   Problem statements have begun appearing online. We will have a wide variety […]

Second Advanced School on Integral Equations and Applications

The Second Advanced School on Integral Equations and Applications (SIE2017) will be held in Lisbon, at Instituto Superior Técnico The school is mainly directed to early career researchers/students who want to increase their knowledge on the analysis and numerical solution of different types of integral equations and their applications.

AXA Driver Telematics Analysis Kaggle competition

This student’s project is based on telematics data provide by AXA for a Kaggle completion, and was supervised by Conceição Amado, Prof, Math Department, IST. The objective of this work is to develop an algorithm that allows profiling for each driver, namely: knowing if a driver makes short or long trips; If attends more curvy […]

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