Awards & Winners

Juris Hartmanis

Date of Birth 05-July-1928
Place of Birth Riga
(Latvia)
Nationality Latvia, United States of America
Profession Computer Scientist
Juris Hartmanis is a prominent computer scientist and computational theorist who, with Richard E. Stearns, received the 1993 ACM Turing Award "in recognition of their seminal paper which established the foundations for the field of computational complexity theory". Hartmanis was born in Latvia. He was a son of Mārtiņš Hartmanis, a general in the Latvian Army. After the Soviet Union occupied Latvia in 1940, Mārtiņš Hartmanis was arrested by Soviets and died in a prison. At the end of World War II, the wife and children of Mārtiņš Hartmanis left Latvia as refugees, fearing for their safety if the Soviet Union took over Latvia again. They first moved to Germany, where Juris Hartmanis received the equivalent of a Master's degree in Physics from the University of Marburg. Then he moved to the United States, where he received Master's degree in Applied Mathematics at the University of Kansas City in 1951 and Ph.D. in Mathematics from Caltech under the supervision of Robert P. Dilworth in 1955. The University of Missouri-Kansas City honored him with Honorary Doctor of Humane Letters in May 1999. After teaching at Cornell University and Ohio State University, Hartmanis joined the General Electric Research Laboratory in 1958. While at General Electric, he developed many principles of computational complexity theory. In 1965, he became a professor at Cornell University. At Cornell, he was one of founders and the first chairman of its computer science department. Hartmanis is a Fellow of the Association for Computing Machinery and of the American Mathematical Society and a member of the National Academy of Engineering and National Academy of Sciences.

Awards by Juris Hartmanis

Check all the awards nominated and won by Juris Hartmanis.

1993


Turing Award
(In recognition of their seminal paper which established the foundations for the field of computational complexity theory.)