The National Science Foundation (NSF) has selected Georgia Tech Professor Branislav Vidakovic, who holds a joint appointment in the Stewart School of Industrial and Systems Engineering (ISyE) and the Wallace H. Coulter Department of Biomedical Engineering (BME), as a program director in the Division of Mathematical Sciences (DMS).

“We could not be more excited about this honor for Brani,” said ISyE H. Milton and Carolyn J. Stewart School Chair and Professor Edwin Romeijn. “His being selected as director for the statistics program in NSF's DMS reflects his numerous accomplishments in a wide variety of statistical fields – including Bayesian, biostatistics, and statistics in medicine and the environment. We look forward to seeing how, in this appointment, Brani will help advance the DMS mission.”

“This appointment is important for ISyE and BME, as well as more widely for Georgia Tech,” said Vidakovic. “Through it, we will participate in shaping the national research agenda when it comes to engineering and bioengineering data analysis.”

DMS supports research in mathematics and statistics, training through research involvement of the next generation of mathematical scientists, conferences and workshops, and a portfolio of national mathematical sciences research institutes.

Vidakovic’s year-long appointment will begin in September 2018, with the option for him to serve in the position for a subsequent year.

About Professor Vidakovic

In addition to various statistical areas, Vidakovic’s research interests include wavelets and statistical signal and image processing. He is a fellow of the American Statistical Association and an elected member of the International Statistical Institute. He has authored or co-authored several books and numerous journal articles.

Vidakovic has served as the former or current associate editor of Journal of the American Statistical Association, Communications in Statistics, Annals of Applied Statistics, Annals of the Institute of Statistical Mathematics, São Paulo Journal of Mathematical Sciences, Journal of Statistical Planning and Inference, Applied Stochastic Models in Business and Industry, the Brazilian Journal of Probability and Statistics, and Bayesian Statistics.

He holds a Ph.D. in statistics from Purdue University.