Paul Horn (computer scientist)
Paul M. Horn (born August 16, 1946) is an American computer scientist and solid state physicist who has made contributions to pervasive computing, pioneered the use of copper and self-assembly in chip manufacturing, and he helped manage the development of deep computing, an important tool that provides business decision makers with the ability to analyze and develop solutions to very complex and difficult problems.[2]
Paul M. Horn | |
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Born | August 16, 1946 New York, New York |
Alma mater | Clarkson College, BS University of Rochester, PhD |
Scientific career | |
Fields | Computer Science |
Institutions | New York University, IBM |
Notes | |
Early life and education
Horn was born on August 16, 1946 and graduated from Clarkson College in 1968 with a Bachelor of Science degree. He obtained his PhD from the University of Rochester in physics in 1973.[1]
Career
Horn has, at various times, been Senior Vice President of the IBM Corporation and Executive Director of Research. While at IBM, he initiated the project to develop Watson, the computer that competed successfully in the quiz show Jeopardy!.[3]
He is currently a New York University (NYU) Distinguished Scientist in Residence and NYU Stern Executive in Residence. He is also a professor at NYU Tandon School of Engineering.[4] In 2009, he was appointed as the Senior Vice Provost for Research at NYU.
Awards
- Industrial Research Institute (IRI) Medal in honor of his contributions to technology leadership, 2005
- American Physical Society, George E. Pake Prize, 2002[1]
- Hutchison Medal from the University of Rochester, 2002[2]
- Distinguished Leadership award from the New York Hall of Science, 2000[2]
- Bertram Eugene Warren Award from the American Crystallographic Association, 1988[2]
References
- "Paul Horn". American Institute of Physics. Retrieved 2017-03-09.
- "Paul Horn's page". Wayback Machine. Archived from the original on 2012-02-25. Retrieved 2017-03-09.CS1 maint: BOT: original-url status unknown (link)
- Satell, Greg (2016-08-21). "How IBM Is Building A Business Around Watson". Forbes. Retrieved 2017-03-09.
- "People - Technology Management and Innovation". NYU Tandon School of Engineering. Archived from the original on 5 May 2018. Retrieved 13 March 2013.