Mid-Career Dean’s Award for Research, UC Irvine School of the Information and Computer Sciences, 2017

Elected Fellow, American Statistical Association, 2016

Grant on Studies on Signals and Images Via the Fourier Transform, NSF Division Mathematical Sciences, 2015 - 2019

Grant on Bayesian State-Space Models for Behavioral Time Series Data, NSF Division Social and Economic Sciences, 2015 - 2017

Grant on Localized Cross Spectral Analysis and Pattern Recognition Methods for Non-Stationary Signals, NSF Division of Mathematical Sciences, 2004 - 2007

Ombao H, Fiecas M, Ting CM and Low YF. (2017+). Statistical Models for Brain Signals with Properties that Evolve Across Trials. NeuroImage, Accepted for publication.

Wang Y, Ombao H and Chung M. (2017+). Persistence Landscape with Application to Epileptic Seizure Encephalogram Data. Annals of Applied Statistics, Accepted for publication.

Fiecas M and Ombao H. (2016). Modeling the Evolution of Dynamic Brain Processes During an Associative Learning Experiment. Journal of the American Statistical Association, 111, 1440-1453.

Yu Z, Prado R, Burke E, Cramer S and Ombao H. (2016). A Hierarchical Bayesian Model for Studying the Impact of Stroke on Brain Motor Function. Journal of the American Statistical Association, 111, 549-563.

Ombao H, Lindquist M, Thompson W and Aston J. (2016). Handbook of Statistical Methods for NeuroImaging. CRC Press. ISBN 9781482220971