roy maxion
roy Maxion is a Principal Systems Scientist at the School of Computer Science.
His research covers several areas of computer science, including development and evaluation of highly reliable systems, concept learning, and human-computer interfaces. He is developing dependable systems for automated detection, diagnosis and remediation of faulty or unanticipated events in many domains -- international banking, telecommunications networks, digital libraries, vendor help systems, semiconductor fabrication and others.
One type of dependable-system application is found in the diagnosis of faults (or other conditions) in new or evolving situations. For example, diagnosis in real-time networks
or in semiconductor fabrication processing is difficult because, due to continuous environmental changes, there exists no stable model of acceptable performance against which observed behaviors can be judged. Similarly, a robot, or other autonomous computational organism, finding itself in unfamiliar circumstances, must determine with confidence which elements of its environment are normal, and then classify and respond correctly to novel, anomalous or special events. A major research goal is to model the cognitive processes that make such tasks seem so easy for humans.
Education
PhD, 1985. Cognitive Science, University of Colorado