Institutions Duke University Education Oberlin College Name Donald Loveland | Known for DPLL algorithm Alma mater New York University Fields Computer Science | |
Born December 26, 1934
Rochester, New York ( 1934-12-26 ) Thesis Recursively Random Sequences (1964) Doctoral advisors Peter Ungar, Martin David Davis Doctoral students Owen Astrachan, Robert Daley, Timothy Gegg-Harrison, Susan Gerhart, David Mutchler, C. Ramu Reddy, David Reed, Marco Valtorta Books Automated Theorem Proving: A Logical Basis | ||
Donald W. Loveland (born December 26, 1934 in Rochester, New York) is a professor emeritus of computer science at Duke University who specializes in artificial intelligence. He is well known for the Davis–Putnam–Logemann–Loveland algorithm.
Loveland graduated from Oberlin College in 1956, received a master's degree from the Massachusetts Institute of Technology in 1958 and a Ph.D. from New York University in 1964. He joined the Duke University Computer Science Department in 1973. He previously served as a faculty member in the Department of Mathematics at New York University and Carnegie Mellon University.
He received the Herbrand Award for Distinguished Contributions to Automated Reasoning in 2001. He is a Fellow of the Association for Computing Machinery (2000) and a Fellow of the Association of Artificial Intelligence (1993).