William B. Rouse, an accomplished entrepreneur, author and academician, has been named chairman of the Georgia Institute of Technology's School of Industrial and Systems Engineering. On Oct. 1, Rouse took over for John Jarvis, who earlier this year announced his intention to resign after 33 years at Georgia Tech, including 12 years as chair of Industrial and Systems Engineering.

"I am delighted to have been selected to lead the school and I look forward to working with the faculty, staff, students and alumni," Rouse said. "The school is excellently positioned—thanks to John Jarvis and many others—to further enhance its preeminent position in the field and provide increasing value to Georgia, the nation, and beyond."

Rouse has more than 30 years of experience in engineering, management and marketing related to individual and organizational performance, decision-support systems and information systems. Rouse has been CEO of Atlanta-based Enterprise Support Systems, which provides software solutions, consulting services, and training in the areas of strategic planning, market/product planning and organizational change. From 1981 to 1988, Rouse was a professor at Georgia Tech. In 1988, he became an adjunct professor, a position he held until being named chair.

Jarvis said he plans to continue working on behalf of Georgia Tech in some capacity, but hasn't yet decided what that role will be. "I am proud to have been a small part of the school's distinguished history," Jarvis said. "I loved every minute of my stay and will always have a fondness in my heart for ISyE, Engineering and Tech."

Gang Yu, a business professor at the University of Texas-Austin, will serve as the economic adviser to Mayor Shengling Li of Tianjin, the fourth largest city in China. Yu, who will continue his teaching position at the university, has consulted for such U.S. companies as IBM, EDS and Continental Airlines. In his new role, he will advise the mayor on economic development and company establishment. "My responsibility is to give them my advice on how to use the resources they have to build a modern city," Yu said.

Jon Doyle has been named SAS Institute Distinguished Professor of Computer Science at North Carolina State University. The $1 million chair was established by SAS Institute Inc. of Cary, N.C., to endow a distinguished professorship in the fields of data mining and data warehousing. Since 1988 Doyle has served as a research scientist in the Laboratory for Computer Science at the Massachusetts Institute of Technology. Before that, he was on the faculties of Stanford University, Carnegie Mellon University and Tufts University.

Doyle's research interests include the structure and interpretation of rational activity; the mathematical formalization and foundations of artificial intelligence; and archival computing, including data mining and data warehousing.

Suresh Kumar Goya, a professor of Decision Sciences and MIS at Concordia University in Montreal, Canada, has been identified by the editor of the Journal of the Operational Research Society (U.K) for publishing the highest number of contributions from 1981-1999. Goyal published 42 contributions during the period.

Douglas A. Samuelson was named an adjunct professor in the School of Engineering and Applied Science, University of Pennsylvania, and an external research professor in the Krasnow Institute for Advanced Study, George Mason University.

Jonathan B. Haynes received the Military Operations Research Society's Stephen A. Tisdale Graduate Research Award for a multi-attribute decision-support model. Richard R. Laferriere and Stephen M. Robinson received the John K. Walker, Jr. Award from MORS for their paper, "Scenario Analysis in U.S. Army Decision Making," published in PHALANX.

The articles described scenario analysis, a technique for modeling and optimizing decisions under uncertainty. The description is informal and is oriented toward working analysts rather than theoreticians. H. Kent Pickett and Dr. W. Peter Cherry were awarded the 2001 Rist Prize for the development of an Information-based direct fire attrition structure in AWARS.