Habib Toye is a PhD candidate at King Abdullah University of Science and Technology (KAUST), in the Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE) under the supervision of Professor Ibrahim Hoteit. His research interests include Ensemble ocean forecasting, High performance computing and Data assimilation.
Habib's research focuses on developing and implementing efficient ensemble Kalman filters for data assimilation into a high resolution model of the Red Sea. He has developed a fault-free DART-MITgcm ensemble assimilation system and successfully tested it with 1000-members on the KAUST supercomputer Shaheen. Habib also derived cost-effective adaptive ensemble OI schemes and demonstrated their relevance for assimilating SSH and SST data in the Red Sea. He is currently working on developing a hybrid EnKF scheme with an adaptive static ensemble covariance to be tested in the Red Sea.
- A fault-tolerant HPC scheduler extension for large and operational ensemble data assimilation: Application to the Red Sea, H. Toye, S. Kortas, P. Zhan, I. Hoteit, Journal of Computational Science, vol. 27, pp. 46 - 56, 2018
- Ensemble data assimilation in the Red Sea: Sensitivity to ensemble selection and atmospheric forcing, H. Toye, P. Zhan, G. Gopalakrishnan, A. R. Kartadikaria, H. Huang, O. Knio, I. Hoteit Ocean Dynamics, vol. 67, no. 7, pp. 915-933, 2017
M.Sc., Computer Science and Applied Mathematics, Grenoble Institute of Technology (ENSIMAG), France, 2010