​Dr. Ait-El-Fquih is interested in various aspects of Bayesian inference and learning for complex stochastic systems. His efforts are mainly focused on the development of new efficient methods and algorithms for filtering and smoothing standard (hidden Markov) state-space dynamical models, and their extensions to more general models such as pairwise and triplet Markov models. His research also extends to (static) inverse problems for which he investigates the approximation of posterior distribution using stochastic sampling and deterministic optimization strategies. He is also interested in the application of the methods to real world problems related to data assimilation, including ocean and ground fluid modeling and forecasting and history matching, and to electrical engineering, including signal processing and wireless communications.

• ​An efficient state-parameters filtering scheme combining ensemble Kalman and Particle filters
  B. Ait-El-Fquih, and I. Hoteit
  Monthly Weather Review, 146, 871-887, 2018
• Unsupervised Ensemble Kalman Filtering with an uncertain constraint for land hydrological data assimilation
  M. Khaki, B. Ait-El-Fquih, I. Hoteit, E. Forootan, J. Awange and M. Kuhn
  Journal of Hydrology, 564, 175-190, 2018
• A variational Bayesian Multiple Particle filtering scheme for Large-Dimensional systems
  B. Ait-El-Fquih and I. Hoteit
  IEEE Transactions on Signal Processing, 64, 5409 -5422, 2016
• A Bayesian consistent dual ensemble Kalman filter for state-parameter estimation in subsurface hydrology
  B. Ait-El-Fquih, M.E. Ghramati and I. Hoteit
  Hydrology and Earth System Sciences, 20, 3289-3307, 2016
• Fast Kalman-like Filtering in large-dimensional linear and Gaussian state space models
  B. Ait-El-Fquih and I. Hoteit
  IEEE Transactions on Signal Processing, 63, 5853-5867, 2015
• A Fixed-Lag Particle Smoothing Algorithm for Blind SISO Equalization of Time-Varying Channels
  A. Guimaraes, B. Ait-El-Fquih and F. Desbouvries
  IEEE Transactions on Wireless Communications, 9, 512-516, 2010

• ​Ph.D., Statistical signal processing, Télécom SudParis, formerly known as Institut national des télécommunications (INT), Evry, France
• M.S., Signal and images processing, Ecole nationale supérieure de l'électronique et de ses applications (ENSEA) and University Cergy-Pontoise, Cergy-Pontoise, France

• ​Institute of Electrical and Electronics Engineers (IEEE)

• ​Physical Science and Engineering Division (PSE)