Nikos Paragios
Nikos Paragios (Greek: Νικος Παραγιος, born at 1972) is a professor of Computer Science and Applied mathematics at CentraleSupélec, senior fellow at the Institut Universitaire de France and affiliated scientific leader at Inria while serving as the editor in chief of the Computer Vision and Image Understanding Journal of Elsevier Publishing House.
He holds a D.Sc. degree in electrical and computer engineering (2000) from Inria and the University of Nice Sophia Antipolis, and has held permanent positions at Siemens Corporate Technology, École des ponts ParisTech as well as visiting positions at Rutgers University, Yale University and University of Houston.
Nikos Paragios | |
---|---|
Nikos Paragios 2011 | |
Born | |
Nationality | |
Known for | Level set Markov random field Image segmentation Image Registration |
Awards | Institut Universitaire de France (2014), IEEE Fellow (2011), TR35 (2006) |
Scientific career | |
Fields | Engineering, Computer Science, Mathematics |
Institutions | CentraleSupélec, Inria |
Work
- medical imaging, computer vision, Image processing and machine learning
Awards
- IEEE Fellow for his contributions to continuous and discrete inference in computer vision, 2011
- Bodossaki Foundation Scientific Award in applied and engineering sciences, 2008
- Francois Erbsmann Prize (with Ben Glocker), Information Processing in Medical Imaging (IPMI), 2007
- TR35 MIT Technology Review Award, 2006
- Cor Baayen ERCIM Award (honorable mention), 2000
Books
- "Geometric Level Set Methods in Imaging, Vision and Graphics" (with Stanley Osher) published in 2003 by Springer
- "Handbook of Mathematical Models in Computer Vision" (with Yunmei Chen and Olivier Faugeras) published in 2005 by Springer
- "Handbook of Biomedical Imaging: Methodologies and Clinical Research" (with James Duncan and Nicholas Ayache) published by Springer in 2015.
gollark: Minoteaur development IS occuring.
gollark: Well, yes, as it is not websocketoidal.
gollark: 2022.
gollark: Hmm, what if something something minoteaur™?
gollark: Oh <:bees:724389994663247974>.
External links
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.