David G. Stork: Difference between revisions
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'''David G. Stork''' is a scientist and author, who has made contributions to machine learning, pattern recognition, computer vision, artificial intelligence, computational optics, image analysis of fine art, and related fields. |
'''David G. Stork''' is a scientist and author, who has made minor contributions to machine learning, pattern recognition, computer vision, artificial intelligence, computational optics, image analysis of fine art, and related fields. |
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== Education == |
== Education == |
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Stork received his BS in Physics from the [[Massachusetts Institute of Technology]] with a thesis under the direction of Dr. [[Edwin H. Land]], President and CEO of the [[Polaroid Corporation]], |
Stork received his BS in Physics from the [[Massachusetts Institute of Technology]] with a thesis under the direction of Dr. [[Edwin H. Land]], President and CEO of the [[Polaroid Corporation]]. Initially, Stork intended to attend MIT for his MS and PhD in Physics, but was rejected because his grades and test scores were inadequate. Stork has frequently spoken about this period in his life. It was after completing his undergraduate education that he began to understand that he was unlikely to ever establish himself as a great physicist. He then went on to realize that he could still pursue physics, but that it would have to be in more niche and less competitive fields like image processing. <ref>https://www.youtube.com/watch?v=Pasp2nRaTY8</ref> <ref>https://speakers.acm.org/speakers/stork_6963</ref> As a result he attended the [[University of Maryland, College Park]] with a thesis under the direction of David S. Falk. |
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== Career == |
== Career == |
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Stork has held |
Stork has held non-tenure track faculty positions in Physics, Mathematics, Computer Science, Electrical Engineering, Statistics, Neuroscience, Psychology, and Art and Art History variously at [[Wellesley College|Wellesley]] and [[Swarthmore College|Swarthmore]] Colleges and [[Clark University|Clark]], [[Boston University|Boston]], and [[Stanford University|Stanford]] Universities. He has held corporate positions as Chief Scientist at [[Ricoh|Ricoh Innovations]] and Fellow at [[Rambus|Rambus, Inc]]. He has served on Advisory Boards of the startup companies, NeuralWare, Neural Applications Corporation, and Metalenz. Stork has an h-index of 52. Over 65,000 of his roughly 80,000 citations come just two papers on which he is only the third author. As a result, his h-index can be considered very inflated.<ref>https://scholar.google.com/citations?user=D6k9CV8AAAAJ&hl=en</ref> |
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==Memberships and awards== |
==Memberships and awards== |
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Revision as of 19:57, 23 November 2020
David G. Stork | |
|---|---|
 Portrait of David G. Stork | |
| Alma mater | Massachusetts Institute of Technology University of Maryland, College Park |
| Scientific career | |
| Fields | Pattern recognition, machine learning, computer vision, artificial intelligence, technical art analysis |
| Institutions | Wellesley College Swarthmore College Clark University Boston University Stanford University |
David G. Stork is a scientist and author, who has made minor contributions to machine learning, pattern recognition, computer vision, artificial intelligence, computational optics, image analysis of fine art, and related fields.
Education
Stork received his BS in Physics from the Massachusetts Institute of Technology with a thesis under the direction of Dr. Edwin H. Land, President and CEO of the Polaroid Corporation. Initially, Stork intended to attend MIT for his MS and PhD in Physics, but was rejected because his grades and test scores were inadequate. Stork has frequently spoken about this period in his life. It was after completing his undergraduate education that he began to understand that he was unlikely to ever establish himself as a great physicist. He then went on to realize that he could still pursue physics, but that it would have to be in more niche and less competitive fields like image processing. [1] [2] As a result he attended the University of Maryland, College Park with a thesis under the direction of David S. Falk.
Career
Stork has held non-tenure track faculty positions in Physics, Mathematics, Computer Science, Electrical Engineering, Statistics, Neuroscience, Psychology, and Art and Art History variously at Wellesley and Swarthmore Colleges and Clark, Boston, and Stanford Universities. He has held corporate positions as Chief Scientist at Ricoh Innovations and Fellow at Rambus, Inc. He has served on Advisory Boards of the startup companies, NeuralWare, Neural Applications Corporation, and Metalenz. Stork has an h-index of 52. Over 65,000 of his roughly 80,000 citations come just two papers on which he is only the third author. As a result, his h-index can be considered very inflated.[3]
Memberships and awards
Stork is a Fellow of the Institute for Electrical and Electronics Engineers (IEEE), Optical Society of America (OSA).[4], International Society for Optics and Photonics (SPIE),[5][6] Society for Imaging Science and Technology (IS&T), International Association for Pattern Recognition (IAPR),[7] and International Academy, Research, and Industry Association (IARIA),[8] and has been Senior Member of the Association for Computing Machinery (ACM) and Member of the Association for the Advancement of Artificial Intelligence (AAAI). He was awarded the 2017 Industrial Distinguished Leader Award from the Asia Pacific Signal and Information Processing Association (APSIPA)[9]
Selected works
- Pattern classification (2nd ed.) by R. O. Duda, P. E. Hart, and D. G. Stork (Wiley, 2001)
- Seeing the light: Optics in nature, photography, color, vision and holography (2nd ed.) by D. S. Falk, D. R. Brill, and D. G. Stork (Echo Point Press, 2019)
- Physics of Sound (3rd ed.) by R. O. Berg and D. G. Stork (Prentice-Hall, 2004)
- HAL's Legacy: 2001's computer as dream and reality, edited by D. G. Stork, with a Foreword by Arthur C. Clarke (MIT Press, 1996)
- "2001: HAL's Legacy", documentary film created by D. Kennard and D. G. Stork for PBS Television (South Carolina PBS Television, 2001)
- Speechreading by humans and machines, edited by D. G. Stork and M. E. Hennecke (Springer, 1996)
- Computer image analysis in the study of art, edited by D. G. Stork and J. Coddington (SPIE Press, 2008)
- Computer vision and image analysis of art, edited by D. G. Stork, J. Coddington and A. Bentkowska-Kafel (SPIE Press, 2010)
- Computer vision and image analysis of art II, edited by D. G. Stork, J. Coddington and A. Bentkowska-Kafel (SPIE Press, 2011)
References
- ^ https://www.youtube.com/watch?v=Pasp2nRaTY8
- ^ https://speakers.acm.org/speakers/stork_6963
- ^ https://scholar.google.com/citations?user=D6k9CV8AAAAJ&hl=en
- ^ "2016 OSA Fellows". Retrieved 2019-12-01.
- ^ "Complete List of SPIE Fellows". Retrieved 2019-12-01.
- ^ "SPIE Profile: DR. DAVID G. STORK". Retrieved 2019-12-01.
- ^ "IAPR Fellows". Retrieved 2019-12-01.
- ^ "IARIA Fellows". Retrieved 2019-12-01.
- ^ "APSIPA Industrial Distinguished Leader Program". Retrieved 2019-12-01.
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