Chadia Zayane

Postdoctoral Fellows


Chadia Zayane is currently a post doc fellow in the division of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) at KAUST. She graduated from SUPELEC engineering school, France, in the field of control and systems in 2005. She received her Master of Science in applied mathematics, more precisely in the scientific computation for partial differential equations used in physics and in fluid mechanics and got her degree with very high honors from Ecole Normale Superieure in Cachan.

She received her PhD from Ecole des Mines in Paris in association with the EDF group (leading electric utility), in January 2011. Her research  was about the identification of a building thermal behavior model from its load curve.

Research Interests

  • Estimation
  • Stochastic simulation

Selected Publications

·       A.M. Karam, T.M. Laleg-Kirati, C. Zayane-Aissa and N. Kashou,  Nonlinear Neural Network for Hemodynamic Model State and Input Estimation Using fMRI Data, Biomedical Signal Processing and Control 2014.

·       N. Khoram, C. Zayane-Aissa, T.M. Laleg-Kirati and R. Djellouli, On the characterization of single-event related brain activity from functional Magnetic Resonance Imaging (fMRI) measurements, IEEE EMBC​, 2014, Chicago, USA.

·       C. Zayane-Aissa and T.M. Laleg-Kirati, sliding mode observer for hemodynamic characterization under modeling uncertainties”, 22nd IEEE Mediterranean Conference on Control & Automation, 2014, Palermo, Italy.

·       C. Zayane-Aissa, and T.M. Laleg-Kirati, Exact nonlinear characterization of hemodynamic behavior based on fMRI experiments, Organization for Human Brain Mapping, 2014, Hamburg, Germany.

·       C. Zayane-Aissa, D.Y. Liu and T.M. Laleg-Kirati, Joint states and parameters estimation for a class of cascade systems: Application to a hemodynamic model, European Control Conference, 2014, Strasbourg, France.

·       M.U. Majeed, C. Zayane-Aissa, and T.M. Laleg-Kirati, Cauchy Problem for the Laplace's Equation: An Observer based Approach, the 3rd IEEE ICSC, 2013, Algiers, Algeria.

·       A. Karam, C. Zayane and T.M. Laleg-Kirati, Nonlinear Neural Network Approach for the Inversion of fMRI Response, IEEE EMB, 2012, San Diego CA, USA.

·       C. Zayane, C. Lajaunie, L. Praly, A. Girard and J.M. Jicquel, Joint state and parameter estimation: a Bayesian approach, IEEE ICMSC, 1 (2010) 137-142.