Dongbin is one of the most recognized names and highly cited researchers in the area of uncertainty quantification and is the founding Associate Editor for the International Journal for Uncertainty Quantification. Dongbin received his Ph.D degree from the Division of Applied Mathematics at Brown University in 2004 and conducted post doctoral studies at Los Alamos National Laboratory, Princeton University, and Brown University. In the fall of 2005 Dongbin joined the Department of Mathematics at Purdue University, where he was promoted to the rank of Professor in 2012.
Dongbin's research focuses on developing efficient numerical algorithms for stochastic computations and uncertainty quantification. He is on the editorial boards of several journals, including Applied Numerical Mathematics, SIAM Review and SIAM Journal on Scientific Computing, and Dongbin is an active member of SIAM and received an NSF CAREER award in 2007 as well as numerous teaching awards while at Purdue. His research is funded by AFOSR, DOE, NNSA, and NSF.
For more information, contact:
Chris Johnson, Ph.D.
Director,
Scientific Computing and Imaging Institute
University of Utah
www.sci.utah.edu
(801) 581-7705