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{{Infobox scientist
{{Infobox scientist
| name = Ron Kimmel
| name = Ron Kimmel
| image = RonKimmel.jpg
| image = RonKimmel-2.jpg
| image_width = 220px
| image_size = 180px
| caption = Ron Kimmel 2008
| caption = Ron Kimmel 2024
| birth_place = [[Haifa]], [[Israel]]
| birth_place = [[Haifa]], [[Israel]]
| nationality = {{flagicon|Israel}} [[Israel]]
| nationality = Israeli
| field = [[Engineering]], [[Computer Science]], [[Mathematics]]
| field = [[Mathematics]], [[Computer Science]], [[Engineering]]
| work_institutions = [[Technion]], [[UCB]]</br> [[Stanford]]
| work_institutions = [[Technion]], [[University of California, Berkeley|UC Berkeley]],<br> [[Stanford]]
| doctoral_advisor = [[Alfred Bruckstein]], [[Nahum Kiryati]]
| doctoral_advisor = Alfred Bruckstein, Nahum Kiryati
| known_for = [[Geodesic Active Contours]]</br>[[Image Segmentation]]</br>
| known_for = Geodesic Active Contours<br>Image Segmentation<br>
[[Non-rigid shape analysis]]
Non-rigid shape analysis<br>Computer aided diagnostics<br>Intel RealSense technology
| awards = [[IEEE Fellow]] (2009)
| awards = [[SIAM Fellow]] 2019<br> [[IEEE Fellow]] 2009<br> Helmholtz-Test of Time-Award 2013
}}
}}


'''Ron Kimmel''' ({{langx|he|רון קימל}}, b. 1963) is a professor of [[Computer Science]] and [[Electrical and Computer Engineering]] (by courtesy) at the [[Technion]] Israel Institute of Technology. He holds a D.Sc. degree in electrical engineering (1995) from the [[Technion]], and was a post-doc at [[UC Berkeley]] and Berkeley Labs, and a visiting professor at [[Stanford]] University. He has worked in various areas of image and shape analysis in computer vision, image processing, and computer graphics. Kimmel's interest in recent years has been non-rigid shape processing and analysis, medical imaging, computational biometry, deep learning, numerical optimization of problems with a geometric flavor, and applications of metric and differential geometry. Kimmel is an author of two books, an editor of one, and an author of numerous articles. He is the founder of the Geometric Image Processing Lab [http://gip.cs.technion.ac.il/], and a founder and advisor of several successful image processing and analysis companies.
'''Ron Kimmel''' ({{lang-he|רון קימל}}, b. 1963) is a professor of [[Computer Science]] at
the [[Technion]] Israel Institute of Technology.
He holds a D.Sc. degree in electrical engineering (1995) from the [[Technion]],
and spent a post-doctoral position at [[UC Berkeley]] and Berkeley Labs, and a visiting
professorship at [[Stanford]] University.
He has worked in various areas of image and shape analysis in computer vision, image
processing, and computer graphics.
Kimmel's interest in recent years has been non-rigid shape processing and analysis, medical imaging, computational biometry, numerical optimization of problems with a geometric flavor,
and applications of metric geometry and differential geometry.
Kimmel is an author of two books, an editor of one, and an author of numerous articles.
He is the founder of the Geometric Image Processing Lab [http://gip.cs.technion.ac.il/],
and a founder and advisor of several successful image processing and analysis companies.


Kimmel's contributions include the development of [[fast marching]] methods for triangulated manifolds (together with [[James Sethian]]), the geodesic [[active contour]]s algorithm for image segmentation, a geometric framework for image filtering (named ''Beltrami flow'' after the Italian mathematician [[Eugenio Beltrami]]), and the Generalized Multidimensional Scaling (together with his students the [[Alex and Michael Bronstein|Bronstein brothers]]) with which he was able to compute the Gromov-Hausdorff distance between surfaces. He is one of the founders of the field of deep learning based computational oncology/pathology together with his student Gil Shamai.
Kimmel's contributions include the development of [[fast marching]] methods for
triangulated manifolds (together with [[James Sethian]]), the geodesic [[active contour]]s algorithm for image segmentation, a geometric framework for image filtering
(named ''Beltrami flow'' after the Italian mathematician [[Eugenio Beltrami]]), and the Generalized Multidimensional Scaling
(together with his students the Bronstein brothers) with
which he was able to compute the [[Gromov-Hausdorff]] distance
between surfaces.


In 2003, he appeared in an interview to WNBC on the use of geometric approaches in
In 2003, he appeared in an interview to WNBC on the use of geometric approaches in [[three-dimensional face recognition]].
In 2011, [[Intel]] acquired his cofounded company InVision.
three-dimensional [[face recognition system|face recognition]].
For ten years he played a leading role in the research and development of [[Intel RealSense]] technologies, as a part time Intel senior academic research fellow.
In 2022 he cofounded Lumana.AI [https://www.lumana.ai/], where he serves as a chief scientific officer.


==Work==
==Work==
* [[medical imaging]], [[computer graphics]], [[computer vision]] and [[Image processing]]
* [[Medical imaging]], [[computer graphics]], [[computer vision]], [[deep learning]], and [[image processing]]


==Awards==
==Awards==

* [[SIAM Fellow]] for contributions to shape reconstruction, image processing, and geometric analysis, 2019
* SIAG Imaging Science Best Paper Prize for SIAM J. Imaging Science'2013. Scale invariant geometry for non-rigid shapes, 2016
*Helmholtz Prize (ICCV Test-of-Time Award) for his 1995 paper on Geodesic Active Contours, 2013
* [[IEEE Fellow]] for his contributions to image processing and non-rigid shape analysis, 2009
* [[IEEE Fellow]] for his contributions to image processing and non-rigid shape analysis, 2009
* Counter Terrorism Award, 2003
* Counter Terrorism Award, 2003
Line 52: Line 42:


==External links==
==External links==
* [http://www.cs.technion.ac.il/~ron Ron Kimmel's page at the Technion]
* [https://ron.cswp.cs.technion.ac.il/ Ron Kimmel's page at the Technion]
* [http://www.cnn.com/2003/TECH/ptech/03/10/israel.twins.reut/ Kimmel in a CNN news report]
* [http://www.cnn.com/2003/TECH/ptech/03/10/israel.twins.reut/ Kimmel in a CNN news report]


{{Authority control}}
{{Persondata <!-- Metadata: see [[Wikipedia:Persondata]]. -->

| NAME = Kimmel, Ron
| ALTERNATIVE NAMES =
| SHORT DESCRIPTION =
| DATE OF BIRTH =
| PLACE OF BIRTH = [[Haifa]], [[Israel]]
| DATE OF DEATH =
| PLACE OF DEATH =
}}
{{DEFAULTSORT:Kimmel, Ron}}
{{DEFAULTSORT:Kimmel, Ron}}
[[Category:Living people]]
[[Category:Living people]]
[[Category:Israeli computer scientists]]
[[Category:Israeli computer scientists]]
[[Category:Computer vision researchers]]
[[Category:Computer vision researchers]]
[[Category:Technion, Israel]]
[[Category:Technion – Israel Institute of Technology alumni]]
[[Category:IEEE Fellow]]
[[Category:Fellows of the IEEE]]
[[Category:Fellows of the Society for Industrial and Applied Mathematics]]
[[Category:1963 births]]

Latest revision as of 03:15, 4 November 2024

Ron Kimmel
Ron Kimmel 2024
Born
Haifa, Israel
NationalityIsraeli
Known forGeodesic Active Contours
Image Segmentation
Non-rigid shape analysis
Computer aided diagnostics
Intel RealSense technology
AwardsSIAM Fellow 2019
IEEE Fellow 2009
Helmholtz-Test of Time-Award 2013
Scientific career
FieldsMathematics, Computer Science, Engineering
InstitutionsTechnion, UC Berkeley,
Stanford
Doctoral advisorAlfred Bruckstein, Nahum Kiryati

Ron Kimmel (Hebrew: רון קימל, b. 1963) is a professor of Computer Science and Electrical and Computer Engineering (by courtesy) at the Technion Israel Institute of Technology. He holds a D.Sc. degree in electrical engineering (1995) from the Technion, and was a post-doc at UC Berkeley and Berkeley Labs, and a visiting professor at Stanford University. He has worked in various areas of image and shape analysis in computer vision, image processing, and computer graphics. Kimmel's interest in recent years has been non-rigid shape processing and analysis, medical imaging, computational biometry, deep learning, numerical optimization of problems with a geometric flavor, and applications of metric and differential geometry. Kimmel is an author of two books, an editor of one, and an author of numerous articles. He is the founder of the Geometric Image Processing Lab [1], and a founder and advisor of several successful image processing and analysis companies.

Kimmel's contributions include the development of fast marching methods for triangulated manifolds (together with James Sethian), the geodesic active contours algorithm for image segmentation, a geometric framework for image filtering (named Beltrami flow after the Italian mathematician Eugenio Beltrami), and the Generalized Multidimensional Scaling (together with his students the Bronstein brothers) with which he was able to compute the Gromov-Hausdorff distance between surfaces. He is one of the founders of the field of deep learning based computational oncology/pathology together with his student Gil Shamai.

In 2003, he appeared in an interview to WNBC on the use of geometric approaches in three-dimensional face recognition. In 2011, Intel acquired his cofounded company InVision. For ten years he played a leading role in the research and development of Intel RealSense technologies, as a part time Intel senior academic research fellow. In 2022 he cofounded Lumana.AI [2], where he serves as a chief scientific officer.

Work

[edit]

Awards

[edit]
  • SIAM Fellow for contributions to shape reconstruction, image processing, and geometric analysis, 2019
  • SIAG Imaging Science Best Paper Prize for SIAM J. Imaging Science'2013. Scale invariant geometry for non-rigid shapes, 2016
  • Helmholtz Prize (ICCV Test-of-Time Award) for his 1995 paper on Geodesic Active Contours, 2013
  • IEEE Fellow for his contributions to image processing and non-rigid shape analysis, 2009
  • Counter Terrorism Award, 2003
  • Henry Taub Prize, 2001
  • Hershel Rich innovation award, 2001, 2003
  • Alon Fellowship, 1998–2001

Books

[edit]
  • "Numerical Geometry of Images" published in 2003 by Springer
  • "Numerical Geometry of Non-Rigid Shapes" (with Alex and Michael Bronstein) published by Springer in 2009.
[edit]
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