Raanju Sundararajan is a Post-Doctoral fellow In Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Hernando Ombao in his research group.

Education and Early Career

Raaju received his Ph.D. degree in Statistics in 2018 from the Texas A&M University, Texas, United States.

Research Interest

His research interests lie in fields such as nonstationary time series, frequency domain, and nonparametric methods. 

Editorial Positions

Referee for journals such as Statistics in Medicine and Brain Connectivity.

Selected Publications

Sundararajan, R. and Pourahmadi, M. (2018). Stationary Subspace Analysis of Nonstationary Processes, Journal of Time Series Analysis, 39 (3), 338-355.
Sundararajan, R. and Pourahmadi, M. (2018). Nonparametric Change Point Detection in Multivariate Piecewise Stationary Time Series, Journal of Nonparametric Statistics, 30 (4), 926-956.
Sundararajan, R., Palma M.A., and Pourahmadi, M. (2017). Reducing Brain Signal Noise in the Prediction of Economic Choices: A Case Study in Neuroeconomics, Frontiers in Neuroscience, 11:704.