Ron Kimmel: Difference between revisions
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{{Infobox scientist |
{{Infobox scientist |
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| name = Ron Kimmel |
| name = Ron Kimmel |
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| image = RonKimmel.jpg |
| image = RonKimmel-2.jpg |
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| caption = Ron Kimmel |
| caption = Ron Kimmel 2024 |
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| birth_place = [[Haifa]], [[Israel]] |
| birth_place = [[Haifa]], [[Israel]] |
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| nationality = Israeli |
| nationality = Israeli |
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'''Ron Kimmel''' ({{ |
'''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. |
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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 [[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. |
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In 2011, [[Intel]] acquired his cofounded company InVision. |
In 2011, [[Intel]] acquired his cofounded company InVision. |
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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. |
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. |
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In 2022 he cofounded |
In 2022 he cofounded Lumana.AI [https://www.lumana.ai/], where he serves as a chief scientific officer. |
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==Work== |
==Work== |
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* [[Medical imaging]], [[computer graphics]], [[computer vision]], [[deep learning]], and [[ |
* [[Medical imaging]], [[computer graphics]], [[computer vision]], [[deep learning]], and [[image processing]] |
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==Awards== |
==Awards== |
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[[Category:Computer vision researchers]] |
[[Category:Computer vision researchers]] |
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[[Category:Technion – Israel Institute of Technology alumni]] |
[[Category:Technion – Israel Institute of Technology alumni]] |
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[[Category: |
[[Category:Fellows of the IEEE]] |
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[[Category:Fellows of the Society for Industrial and Applied Mathematics]] |
[[Category:Fellows of the Society for Industrial and Applied Mathematics]] |
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[[Category:1963 births]] |
[[Category:1963 births]] |
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Latest revision as of 03:15, 4 November 2024
Ron Kimmel | |
|---|---|
 Ron Kimmel 2024 | |
| Born | |
| Nationality | Israeli |
| Known for | Geodesic Active Contours Image Segmentation Non-rigid shape analysis Computer aided diagnostics Intel RealSense technology |
| Awards | SIAM Fellow 2019 IEEE Fellow 2009 Helmholtz-Test of Time-Award 2013 |
| Scientific career | |
| Fields | Mathematics, Computer Science, Engineering |
| Institutions | Technion, UC Berkeley, Stanford |
| Doctoral advisor | Alfred 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.
