home button
site comments contact information Related Links home button
about the rhf button
the inductees
about the jury
Minoru Asada
Ron Baillie
Ruzena Bajcsy
Anne Balsamo
Fred Barton
Gordon Bell
Rodney Brooks
Randal Bryant
Henrik Christensen
Arthur C. Clarke
Anthony Daniels
Joanna Haas
Ray Jarvis
Takeo Kanade
Dan Kara
Don Marinelli
Matt Mason
Illah Nourbakhsh
Raj Reddy
Chuck Thorpe
Sherry Turkle
Manuela Veloso
Daniel H. Wilson
Steve Wozniak
Will Wright
nominate a robot
news and events

In November 2003, Dr. Morris founded the Robot Hall of Fame as an educational outreach activity of Carnegie Mellon University, a world leader in robotics research and education.

Dr. James H. Morris is a professor of Computer Science and Dean of the West Coast Campus of Carnegie Mellon University. From 1992 to 2004 he served as Dean of the School of Computer Science. He held the Herbert A. Simon Professor of Human Computer Interaction from 1997 to 2000. He is a native of Pittsburgh and received a Bachelor's degree from Carnegie Mellon, an M.S. in Management from MIT and Ph.D. in Computer Science from MIT. He taught at the University of California at Berkeley where he developed some important underlying principles of programming languages: inter-module protection and lazy evaluation. He was a co-discoverer of the Knuth-Morris-Pratt string searching algorithm. For ten years he worked the Xerox Palo Alto Research Center where he was part of the team that developed the Alto System, a precursor to today's personal computers. From 1983 to 1988 he directed the Information Technology Center at Carnegie Mellon, a joint project with IBM which developed a prototype university computing system, Andrew. He has been the principal investigator of several NSF and DARPA projects aimed at computer-mediated communication. He is a founder of the MAYA Design Group, a consulting firm specializing in interactive product design.

Back to the Top


Copyright Information. Site by Wall-to-Wall Studios. This site is enhanced with Macromedia FlashTM technology. Click here to download the plug-in.