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Carroll Morgan (computer scientist)

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Name
  
Carroll Morgan


Role
  
Computer scientist

Carroll Morgan (computer scientist) ssrgnictacomaupeoplethumbcache10363175jpeg

Books
  
Programming from Specifications, Laws of the Logical Calculi

Charles Carroll Morgan (born 1952) is an American computer scientist who moved to Australia in his early teens. He completed his education there (high school, university, several years in industry), including a PhD degree from the University of Sydney, and then moved to the United Kingdom in the early 1980s. In 2000, he returned to Australia.

During the 1980s and 1990s, Carroll Morgan was based at the Oxford University Computing Laboratory in England as a researcher and lecturer working in the area of formal methods. Having been influenced by the Z notation of Jean-Raymond Abrial, he authored Programming from Specifications (Prentice Hall International Series in Computer Science, ISBN 0-13-123274-6) as an attempt to bring the high-level specification aspects of Z together with the rigorous program-derivation technique of Edsger Wybe Dijkstra; his treatment concentrated on elementary program constructs in order to make the material accessible to undergraduates in their early years. Some of the ideas there were later incorporated as elements of the B-Method by Jean-Raymond Abrial, when Abrial returned in Oxford in the second half of the 1980s.

Together with Annabelle McIver, Morgan later authored Abstraction, Refinement and Proof for Probabilistic Systems (Springer Monographs in Computer Science, ISBN 978-0-387-40115-7) in which the same themes were pursued for probabilistic programs.

Morgan is now Professor at the University of New South Wales in Australia. His primary research interests are probabilistic models for security and concurrency. He is also the author of numerous papers and active member of a number of IFIP working groups.

Carroll Morgan is known as a proponent of formalized approach to program development called the Refinement Calculus.

References

Carroll Morgan (computer scientist) Wikipedia