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Paul Kvam is a professor Stewart School of Industrial and Systems Engineering. He joined ISyE in 1995 after working for four years as scientific staff researcher at the Los Alamos National Laboratory. He became a full professor in 2006. Dr. Kvam received his B.S. in Mathematics from Iowa State University in 1984, an M.S. in Statistics from the University of Florida in 1986, and his Ph.D. in Statistics from the University of California, Davis in 1990. He has published over 60 articles in peer-reviewed journals in statistics and engineering, and is a fellow of the American Statistical Association. He is co-author of two textbooks: Nonparametric Statistics for Science and Engineering (Wiley Press, 2007) with Dr. Brani Vidakovic, and Basic Statistical Tools for Improving Quality (Wiley Press, 2011) with Dr. Chang Wook Kang.
His research interests focus on statistical reliability with applications to engineering, nonparametric estimation, and analysis of complex and dependent systems. Dr. Kvam has served as associate editor for IEEE Transactions on Reliability (1992-2000), Technometrics (1999-2005), The American Statistician (2005-present), Journal of Quality Technology (2008-present) and Journal of the American Statistical Association (2002-2011). He is a member of the American Statistical Association, Institute of Mathematical Statistics, Institute for Operations Research and Management Science. He currently serves as the School's Associate Chair for Graduate Studies.
Brani Vidakovic is a Professor in Statistics. Dr. Vidakovic came to Georgia Tech from Duke University, where he had been an Assistant Professor and tenured Associate Professor.
Dr. Vidakovic holds a Ph.D. in statistics from Purdue University, where his thesis was titled "A Study of Properties of Computationally Simple Rules in Estimation Problems". His master's and bachelor's are from Belgrade University. He has previously held Visiting Teacher positions with the University of North Carolina and Universidad Politecnica de Madrid.
Dr. Vidakovic's research interests include wavelets, Bayesian decision theory, statistical theory of turbulence, Γ-Minimax theory statistical computing, theory of algorithmic complexity, and statistical education. He is a member of the Institute of Mathematical Statistics, the American Statistical Association, and the international Society for Bayesian Analysis. He received the l.W. Burr Award for Excellence in Teaching, Consulting, and Research while at Purdue in 1992. He has authored or co-authored three books and numerous journal articles.