In December, 1993, I completed my Computer Science Ph.D. in the
Adaptive Intelligent Systems
(AIS) group at Stanford's
Knowledge Systems Laboratory;
I am presently consulting for the IBM TJ Watson Research Center in
Hawthorne, New York.
My doctoral research attacked the problem of providing effective response
in real-time situations with limited resources--my thesis
"Diagnosis using action-based hierarchies for optimal real-time performance"
proposed and analyzed an alternative to classical decision tree structuring
geared towards finding an effective action in as short a time as possible.
My theoretical ideas were implemented in the ReAct system which in turn
is part of the
intensive care unit patient monitoring system.
- Ash, D., Diagnosis using action-based hierarchies for optimal
real-time performance. Ph.D. Dissertation, Computer Science Department,
Stanford University, Stanford, CA, 1994. Available as
Computer Science Technical Report STAN-CS-TR-93-1498 (may not be available
- Ash, D., Gold, G., Seiver, A., and Hayes-Roth, B. Guaranteeing
real-time response with limited resources. Artificial Intelligence in
Medicine, 5 (1), 49-66, 1993.
- Ash, D. and Hayes-Roth, B. A comparison of action-based hierarchies
and decision trees for real-time performance. Proc. of the National
Conference on Artificial Intelligence, Washington, D.C., 1993.
- University of Waterloo, Canada, 1981-1986
- Bachelor of Mathematics, Mathematics
- Stanford University, 1987-1993
- Doctor of Philosophy, Computer Science
- Netron Inc, Toronto, Canada, 1984-1987
- Systems Analyst
- IGC Corp, Victoria, Canada, 1987
- Software Developer
- IBM TJ Watson Research Center, Hawthorne, NY, 1994-
- Software Consultant
Getting in touch
- I prefer to be contacted by email: