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Jeffrey Ullman
Jeffrey David "Jeff" Ullman (born November 22, 1942) is a computer scientist and professor at Stanford University. His textbooks on compilers (various editions are popularly known as the Dragon Book), theory of computation (also known as the Cinderella book), data structures, and databases are regarded as standards in their fields.
==Early life and career==
Ullman received a Bachelor of Science degree in Engineering Mathematics from Columbia University in 1963 and his Ph.D. in Electrical Engineering from Princeton University in 1966. He then worked for several years at Bell Labs. From 1969 to 1979 he was a professor at Princeton. Since 1979 he has been a professor at Stanford University, where he is currently the Stanford W. Ascherman Professor of Computer Science (Emeritus). In 1995 he was inducted as a Fellow of the Association for Computing Machinery and in 2000 he was awarded the Knuth Prize. Ullman is also the co-recipient (with John Hopcroft) of the 2010 IEEE John von Neumann Medal,
“For laying the foundations for the fields of automata and language theory and many seminal contributions to theoretical computer science.”〔(【引用サイトリンク】publisher=IEEE )〕
Ullman's research interests include database theory, data integration, data mining, and education using the information infrastructure. He is one of the founders of the field of database theory, and was the doctoral advisor of an entire generation of students who later became leading database theorists in their own right. He was the Ph.D. advisor of Sergey Brin, one of the co-founders of Google, and served on Google's technical advisory board. He is currently the CEO of Gradiance. He teaches a course on Automata and Mining Massive Datasets on the online learning platform Coursera.〔(【引用サイトリンク】title=Stanford - Automata )〕〔(【引用サイトリンク】title=Stanford - Mining Massive Datasets )〕
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