Some Detailed Descriptions of Experience:

 1983 - present: At Northeastern U., teaching and research in imaging,
  AI, pattern recognition, 3D graphics, internet webpage design. Have advised numerous
  grad students including 4 Ph.D. thesis, using various languages/systems,
  including UNIX, PC, Mac, JAVA, C, C++, Sybase, IE/Netscape, Windows, Ultra Sparcs,
  Publication record includes over 120 technical papers, 18 books, 3 USA/Germany
  patents, and awarded many grants totaling more than one million USDs. 
 2000 - 2003: the PI (Principal Investigator)  of a 1/2 million grant, supporting 3
  Ph.D. students, doing 3D imaging analysis, using internet/JAVA/C, PC-based systems, for
  analyzing, understanding, interpreting various MRI image data, segmentation, resolution
  enhancement, skeletonization, feature extraction, and classification. This can help
  doctors do diagnosis for various serious illness, such as brain cancer, lung cancer,
  stomach abnormal cells detection, colon cancer diagnosis etc. Our research can help
  doctors do diagnosis  on-line through web, with fast speed, and more than 87%
  accuracy rate so far (still improving). The goal is for 99% accuracy rate.
 9/1990 - present: at MIT Sloan School, in charge of OCR (optical character
  recognition) project, in applications to bank check analysis and recognition.
  I created an OCR Lab, lead a team of about half of dozen excellent researchers and
  grad students,  established a PC based system with scanner, using C and C++ languages,
  that can scan bank checks and determine "courtesy amount" on the upper right corner",
  which is the most important portion of a check that really counts. It includes machine
  printed fonts, as well as handprinted/handwritten alpha-numerals. For more than 5,000
  checks tested in the database, the preliminary recognition rate is over 98%
  (using neural net and thinning[skeletonization] and rethichening self improving
  learning algorithms). Our research results got USA patent and were published in
  well-known Int. Journals (pls refer to Publication details).
 9/1989 - 9/1990: at MIT AI Lab, doing advanced research in 3D object recognition and
  stereo computer vision, multi-media vision/animation, using LISP1.5 and high
  speed parallel computer with 64,000 CPU running simultaneously. Applied to industrial
  parts inspection, such as pairs of scissors, hammers, boxes, etc.
 9/1986 - 9/1996: at  Harvard Univ. Extension School, Adjunct Faculty, mainly teaching
  grad computer science course for industry/business professionals, including
  A.I., Pattern recognition, Logic Programming, PROLOG language, Applied Automata
  Theory, and Knowledge Engineering.
 1/1980 - 9/1981: at GTE Lab, Senior Technical Staff, doing OCR (optical character
  recognition) with applications to telephone communication. Leading a team of about 8
  professionals (all computer engineering MS and Ph.D.'s),  built a system  using C
  language, to analyze and recognize English characters, both handwritten and handprinted.
  Designed methodologies combining advantages of structural and statistical methods,
  16-vector Freeman chain coding,  and a Dynamic word database, plus touch sensitive
  tablet/pen, connected to computer and telephone, so that people can communicate with
  both voice and written words.  Prototype's accurate rate was about 89%, with large
  database of about 65,000 real samples.
 9/1981 - 9/1983: Wang Labs, Senior Software Specialist,  Lead a group of 4 or 5 senior
  engineers,  establish an imaging system that can scan images, enhance high
  resolution, and automatically integrated into office system, as part of a large
  "Office Automation" System.  Also done OCR work similar to the experience as in the
  GTE Lab.  One of my three patents was granted by the USA and Germany bureau during
  this period.