Ibrahim Hoteit PhD

Professor Hoteit's research involves the effective use and integration of dynamical models and observations to simulate, study and predict realistic geophysical fluid systems. This involves developing and implementing numerical models and data inversion, assimilation, and uncertainty quantification techniques suitable for large scale applications. Professor is currently focusing on developing an integrated data-driven modeling system to simulate and predict the circulation and the climate of the Saudi marginal seas: the Red Sea and the Arabian Gulf.

• Red Sea deep water renewals caused by volcanic eruptions and the north Atlantic oscillation
  F. Yao and I. Hoteit
  Science Advances, 4:eaar5637, 2018
• A fault-tolerant HPC scheduler extension for large and operational ensemble data assimilation in the Red Sea
  H. Toye, S. Kortas, P. Zhan, and I. Hoteit
  Journal of Computational Science, 10.1016/j.jocs.2018.04.018,2018
• Sensing coral reef connectivity pathways from space
  D. Raitsos, R. Brewin, P. Zhan, D. Dreano, Y. Pradhan, and I. Hoteit
  Scientific Report, doi:10.1038/s41598-017-08729-w, 2017
• Climatic features of the Red Sea from a regional assimilative model
  V. Yesubabu, H. Dasari, S. Langodan, S. Challa, and I. Hoteit
  International Journal of Climatology, 37, 2563-2581, 2017
• The climatology of the Red Sea – Part-I: The wind & Part-II: The waves
  S. Langodan, A. Pomaro, L. Cavaleri, Y. Vishwanadhapalli, L. Bertotti, and I. Hoteit
  International Journal of Climatology, doi:10.1002/joc.5103, 2017
• Eddies in the Red Sea: A statistical and dynamical study
  P. Zhan, A. Subramanian, F. Yao, and I. Hoteit
  Journal of Geophysical Research, 119(6), 3909-3925, 2014
• Efficient Kernel-based ensemble Gaussian mixture filtering
  B. Lui, B. Ait-El-Fquih, and I. Hoteit
  Monthly Weather Review, 144, 781-800, 2016
• Mitigating observation perturbation sampling errors in the stochastic EnKF
  I. Hoteit, D.-T. Pham, M.E. Gharamti, and X. Luo
  Monthly Weather Review, 143, 2918-2936, 2015
• Seasonal overturning circulation in the Red Sea. Part-I: Model validation and summer circulation & Part-II: Winter circulation
  F. Yao, I. Hoteit, L. Pratt, A. Bower, P. Zhai, A. Kohl, and G. Gopalakrishnan
  Journal of Geophysical Research, doi:10.1002/2013JC009331, 2014
• Remote sensing the phytoplankton seasonal succession of the Red Sea
  D. Raitsos, P. Pradhan, R. Brewin, G. Stenchikov, and I. Hoteit
  PLoS ONE 8(6): e64909, doi: 10.1371/journal.pone.0064909, 2013

• Ph.D., Université Joseph Fourrier, Grenoble, France 1998 - 2002
  
• M.Sc., Université Joseph Fourrier, Grenoble, France 1997 - 1998

• 2019 - present Professor, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
• 2013 - 2019 Associate Professor, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  
• 2009 - 2013 Assistant Professor, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
• 2004 - 2008 Research Scientist, Scripps Institution of Oceanography, San Diego, CA.
• 2002 - 2004 Postgraduate Researcher, ECCO (MIT/SIO/JPL) , Scripps Institution of Oceanography, San Diego.

• Member of the American Geophysical Union
• Member of the European Geophysical Union
• Member of the UNSECO Center of Pure and Applied Mathematics (CIMPA)

1. Finalist in Environment for the 2017 World Technology Awards, World Technology Network (WTN), Nov 2017
2. Co-recipient of the second-best poster award at the International Petroleum Engineering Conference (IPTC), Doha, January 2014
   
3. Honorable mention (top five papers), PacificVis Symposium, Syndey, Australia, 2013
   
4. Best poster award at the SIAM conference on Mathematical and Computational Issues in Earth Sciences, Long Beach, USA, 2011
5. Best poster award at the Richard Tapia Celebration of Diversity in Computing Conference, San Francisco, USA, 2011
6. Ph.D. Fellowship Award from the French Government

Physical Science and Engineering Division

Earth Science and Engineering Program

Applied Mathematics and Computational Sciences

Marine Science

Statistics