Nikos Paragios




Nikos Paragios is professor of Applied Mathematics and Computer Science, director of the Center for Visual Computing of Ecole Centrale de Paris & Ecole des Ponts - ParisTech, and scientific leader of GALEN group of Ecole Centrale de Paris/INRIA Saclay, Ile-de-France.

Prior to that he was professor of applied mathematics at Ecole Centrale de Paris (2005-2011), professor/research scientist (2004-2005) at the Ecole Nationale de Ponts et Chaussees, affiliated with Siemens Corporate Research (Princeton, NJ, 1999-2004) as a project manager, senior research scientist and research scientist. In 2002 he was an adjunct professor at Rutgers University and in 2004 at New York University. N. Paragios was a visiting professor at Yale ( 2007) and at University of Houston (2009).

Professor Paragios is an IEEE Fellow, has co-edited four books, published more than two hundred papers in the most prestigious journals and conferences of medical imaging and computer vision (DBLP server), and holds seventeen US patents. His work has approx 9,000 citations according to Publish or Perish and his H-number (09/2011) is 43.

Professor Paragios has served/serves as an associate/area editor/member of the editorial board for the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), the Computer Vision and Image Understanding Journal (CVIU), the International Journal of Computer Vision (IJCV), the Medical Image Analysis Journal (MedIA), the Journal of Mathematical Imaging and Vision (JMIV), the Imaging and Vision Computing Journal (IVC), the Machine Vision and Applications (MVA) Journal and the SIAM Journal in Imaging Sciences (SIIMS). Professor Paragios was one of the program chairs of the 11th European Conference in Computer Vision (ECCV'10, Heraklion, Crete). Professor Paragios is member of the scientific council of SAFRAN conglomerate & the Intrasene group.

In 2010 N. Paragios received a European Research Council award while in 2008 was the laureate of one of Greece's highest honor for young academics and scientists of nationality or descent (world-wide), the Bodossaki Foundation Prize in the field of applied sciences. In 2006, he was named one of the top 35 innovators in science and technology under the age of 35 from the MIT's Technology Review magazine. His research interests include image processing, computer vision, medical image analysis and human computer interaction.

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Jan 10th 2014

We will present the state of the art energy minimization algorithms that are used to perform inference in modern artificial vision models: that is, efficient methods for obtaining the most likely interpretation of a given visual input. We will also cover the popular max-margin framework for estimating the model parameters using inference.

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