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Committee Membership Information

Project Title: Panel on Reliability Growth Methods for Defense Systems

PIN: DBASSE-CNSTAT-10-08        

Major Unit:
Division of Behavioral and Social Sciences and Education

Sub Unit: Committee on National Statistics


Cohen, Michael

Subject/Focus Area:  Engineering and Technology; Math, Chemistry, and Physics

Committee Membership
Date Posted:   01/20/2011

Dr. Scott Vander Weil
Los Alamos National Laboratory

SCOTT VANDER WIEL is technical staff member at Los Alamos National Laboratory. Previously, he conducted statistics research at Bell Laboratory for 14 years. He collaborates with engineers and scientists to analyze data and develop statistical methodology in system reliability (and other areas of application). At LANL he has focused on weapons reliability modeling and uncertainty quantification. He is a fellow of the American Statistical Association. He holds an M.A. and Ph.D. in statistics from Iowa State University.

Dr. Arthur Fries - (Chair)
Institute for Defense Analyses

ARTHUR FRIES is staff member and project leader at the Institute for Defense Analyses (IDA). He has spent his entire career at IDA examining the applicability of statistical methods to issues in national defense, especially defense acquisition. He is one of the leading researchers in reliability growth modeling. He has served on two previous NRC studies and is a fellow of the American Statistical Association. Recently, he received the U.S. Army Wilks Award, which is presented to an individual who has made a substantial contribution to statistical methodology and application impacting the practice of the statistics in the Army. He holds an M.A. in mathematics and a Ph.D. in statistics, both from the University of Wisconsin-Madison.

Dr. W. Peter Cherry
Science Applications International Corporation

W. PETER CHERRY (NAE) is chief analyst at Science Applications International Corporation. He has focused on the development and application of operations research in the national security domain, primarily in the field of land combat. He contributed to the development and fielding of most of the major systems currently employed by the Army, ranging from the Patriot Missile to the Apache helicopter. He was a member of the Army Science Board and served as chair of the Military Applications Society of the Operations Research Society of America. In 2001 he was the co-winner of the Rist Prize awarded by the Military Operations Research Society and in 2003 was awarded the Steinhardt Prize by the Military Applications Society of INFORMS. He is a member of the National Academy of Engineering and has served on several NRC study committees. He holds an M.S. and Ph.D. in industrial and operations engineering from the University of Michigan.

Dr. Robert G. Easterling
Sandia National Laboratories [Retired]

ROBERT G. EASTERLING is retired from Sandia National Laboratories where he spent the great majority of his career investigating the applications of statistics to various engineering issues. He retired in 2001 as senior statistical scientist. He is well known for his work on reliability evaluation. Early on, he became well known for his critique of the Rasmussen report on nuclear reactor safety. He is a fellow of the American Statistical Association and a recipient of the American Society for Quality’s Brumbaugh Award. He holds a Ph.D. in statistics from Oklahoma State University.

Dr. Elsayed A. Elsayed
Rutgers, The State University of New Jersey

ELSAYED A. ELSAYED is distinguished professor in the Department of Industrial and Systems Engineering at Rutgers University, as well as a fellow in the Rutgers Business, Engineering, Science and Technology Institute. He is also the director of the NSF/Industry/University Co-operative Research Center for Quality and Reliability Engineering. His research interests are in the areas of quality and reliability engineering and production planning and control. He is the author of Reliability Engineering. He is a fellow of the Institute of Industrial Engineers. He holds a Ph.D. from the University of Windsor (Canada).

Dr. Aparna V. Huzurbazar
Los Alamos National Laboratory

APARNA V. HUZURBAZAR is a research scientist in the Statistical Sciences Group at Los Alamos National Laboratory where she also serves as project lead for the Systems MTE Enhanced Surveillance Campaign. The Systems MTE provides statistical and analytical support such as system modeling, age-aware models, tracking and trending data, and uncertainty quantification. She has published extensively in reliability methodology and applications, flowgraph models, Bayesian statistics, and quality control and industrial statistics. She is a fellow of the American Statistical Association and an elected member of the International Statistical Institute. She holds a Ph.D. in statistics from Colorado State University.

Dr. Patricia A. Jacobs
Naval Postgraduate School

PATRICIA A. JACOBS is distinguished professor in the Department of Operations Research at the Naval Postgraduate School in Monterrey, CA. She has worked for most of her career on defense issues involving statistics and operations research, including reliability modeling (often with Don Gaver, member of NAE). She is an elected member of the Royal Statistical Society and the International Statistical Institute. She holds an M.S. in industrial engineering and management and a Ph.D. in applied mathematics sciences, both from Northwestern University

Dr. William Q. Meeker, Jr.
Iowa State University

WILLIAM Q. MEEKER, JR. is a distinguished professor of liberal arts and sciences and professor in the Department of Statistics at Iowa State University. He is co-author of the most acclaimed general text on reliability methods (with Escobar) Statistical Methods for Reliability Data. He is a fellow of the American Statistical Association, an elected member of the International Statistical Institute, and a fellow of the American Society for Quality. He won the Frank Wilcoxon prize for the best practical application paper in Technometrics in 1987, 1995, and 1999. He is also a recipient of the W.J. Youden prize for the best expository paper in Technometrics in 1996, 1998, 1999, and 2002, and he won the 2006 American Society for Quality Control Shewhart Medal for outstanding technical leadership in the field of modern quality control. He currently serves on the NRC Committee on Engineering Aviation Security Environments -- False Positives from Explosive Detection System. He holds a Ph.D. in administrative and engineering systems from Union College.

Dr. Nachiappan Nagappan
Microsoft Research

Nachiappan Nagappan is senior researcher in the Empirical Software Engineering Research Group (ESE) at Microsoft Research in Redmond, WA. Currently, his research focuses on the application of software measurement and statistical modeling to software systems, primarily targeted at making early estimates of software quality to predict post-release failures. He has also been measuring test effectiveness, conducting defect analysis, and performing empirical case studies at Microsoft. He previously served on the NRC’s Committee for Improving Processes and Policies for the Acquisition and Test of Information Technologies in the Department of Defense. He holds a Ph.D. from North Carolina State University.

Dr. Michael Pecht
University of Maryland, College Park

MICHAEL PECHT is George E. Dieter professor of mechanical engineering at the University of Maryland. He is the founder of the Center for Advanced Life Cycle Engineering at the University of Maryland, which is funded by over 150 of the world’s leading electronics companies. He is an IEEE fellow, an ASME fellow, an SAE fellow, and an IMAPS fellow. In 2010, he received the IEEE exceptional technical achievement award. In 2008, he was awarded the highest reliability honor, the IEEE reliability society’s lifetime achievement award. He also served as chief editor for Microelectronics Reliability. He has written more than 20 books on electronic products development, use and supply chain management, and over 400 technical articles. He is a professional engineer (State of Maryland) and holds a Ph.D. from the University of Wisconsin-Madison.

Dr. Ananda Sen
University of Michigan Health System

ANANDA SEN is associate research scientist at the Center for Statistical Consultation and Research at the University of Michigan. He has held teaching appointments at Oakland University and the University of Michigan. He has made a number of fundamental contributions to the understanding of reliability growth modeling. He is also expert in accelerated failure-time modeling and Bayesian methodologies in reliability and survival analysis. He is an elected member of the International Statistical Institute. He holds an M.S. in statistics from the Indian Statistical Institute and a Ph.D. in statistics from the University of Wisconsin-Madison.