Patrick S. P. Wang
Also known as Patrick Shen-Pei Wang, 王申培
Patrick S. P. Wang is a computer scientist in pattern recognition and artificial intelligence whose work covers optical character recognition, image processing and biometrics. With a PhD in computer science from Oregon State University, he began teaching at Harvard University Extension School in 1985, chaired the committee on structural and syntactic pattern recognition of the International Association for Pattern Recognition (IAPR) from 1992 to 1996, and became an IAPR Fellow in 1994. He co-founded the International Journal of Pattern Recognition and Artificial Intelligence, served as general co-chair of the 2006 International Conference on Pattern Recognition in Hong Kong, and is Professor Emeritus of Computer and Information Science at Northeastern University in Boston.
- Now at
- Northeastern University
- Works
- 369
- Citations
- 4,212
- h-index
- 30
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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1985–1990
Harvard Extension and the MIT AI Lab
He begins as adjunct faculty in computer science at Harvard University Extension School in 1985, and he is a Visiting Scientist at the MIT AI Lab from 1989 to 1990. His degrees are a BSEE from National Chiao Tung University, an MSEE from National Taiwan University, an MS from the Georgia Institute of Technology and a PhD in computer science from Oregon State University.
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1992–1996
Chairing the IAPR SSPR committee
He chairs the IAPR committee TC-2 on Structural and Syntactic Pattern Recognition for four years, from 1992 to 1996. He also organizes the SSPR'96 workshop in Leipzig.
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1994
An IAPR Fellowship
He becomes a Fellow of the International Association for Pattern Recognition in 1994, cited for contributions to pattern recognition, optical character recognition and service to the IAPR.
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1996
Guest professor at Magdeburg
He is elected Otto-von-Guericke Distinguished Guest Professor at the Graphics and Simulations Lab of the University of Magdeburg in 1996.
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2006–2007
ICPR 2006 and a biometrics book
He is a general conference co-chair of the IAPR's 18th International Conference on Pattern Recognition, held in Hong Kong in August 2006. From 2006 to 2007 he is an iCORE visiting professor at the University of Calgary's Biometrics Technology Laboratory, where he publishes his 23rd book, Image Pattern Recognition: Synthesis and Analysis in Biometrics, with World Scientific in July 2007.
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2007
Award at IEEE BIBE 2007
He receives the IEEE-SMC Outstanding Achievement Award at the IEEE BIBE 2007 conference at Harvard Medical in 2007.
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By 2008
Co-founding editor of IJPRAI
He is a co-founding chief editor of the International Journal of Pattern Recognition and Artificial Intelligence, with Xiaoyi Jiang, and of World Scientific's MPAI book series, with Horst Bunke. In 2012 he is still founding Editor-in-Chief of the journal.
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As of October 2026
Professor Emeritus at Northeastern
He is Professor Emeritus of Computer and Information Science at Northeastern University in Boston. He has published over 300 technical papers, 26 books and 3 US and European patents in AI, pattern recognition, computer vision, OCR, image processing and biometrics.
Career
- Since 1984Northeastern UniversityProfessor Emeritus of Computer and Information Science
- 2010–2017East China Normal University
- 2006–2007University of CalgaryICORE visiting professor
- 1996Otto-von-Guericke-Universität MagdeburgOtto-von-Guericke Distinguished Guest Professor
- 1992–1996International Association for Pattern RecognitionChair
- 1989–1990MIT CSAILVisiting Scientist
- 1989–1994Massachusetts Institute of Technology
- From 1985Harvard UniversityAdjunct faculty in computer science
Education
Most-cited works
- Handbook of Pattern Recognition and Computer Vision
- Handbook of Character Recognition and Document Image AnalysisWith Horst Bunke
- PERFORMANCE COMPARISONS OF FACIAL EXPRESSION RECOGNITION IN JAFFE DATABASE
- A comment on “a fast parallel algorithm for thinning digital patterns”
- A new method of color image segmentation based on intensity and hue clustering
Sources and credits
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