NAJIB FIKAL
FIKAL NAJIB
INSA Euro-Méditerranée
n.fikal@insa.ueuromed.org
Professor/researcher in Mathematics and Computer Science at INSA Euro-Mediterranean Euro-Mediterranean University of Fez.
PhD in Applied Mathematics and Computer Science, (Distinction with Congratulations of the Jury Members) Mohammadia School of Engineers, Mohammed V University of Rabat, in collaboration between the Laboratory of Studies and Applied Mathematical Research (LERMA), and the research CARMEN team, at the National Research Institute in computer and automatic of Bordeaux (INRIA).
2010 – 2012 Master’s Degree in Statistics Optimization and Stochastic Modeling,
Faculty of Sciences Ain Chock of Casablanca
2009 – 2010 Bachelor degree in Applied Mathematics, Faculty of Sciences Ain Chock of Casablanca.
2005 – 2006 Baccalaureate degree in Mathematics, High School Mohammed V, Casablanca.
Internships & Formations
2013 Research stay , INRIA Bordeaux (CARMEN team): 1month
2014 Research stay , INRIA Bordeaux (CARMEN team): 3months
2015 Research stay , INRIA Bordeaux (CARMEN team): 2months
2016 Research stay , INRIA Bordeaux (CARMEN team): 2months
Formation, Advanced Course: "Mathematical and Statistical Models and Methods", CIMPA Research School, 1-12 October 2012, (FSTM, Morocco Introduction to Epidemiology.
Formation, Advanced Course: Mathematics for Biology". CIMPA Research
School, 4-10 October 2016, Tunis,
- Numerical modeling and data analysis,
- Biomathematics
- inverse problems,
- Stochastic Modeling and Quantification of Uncertainties.
Since 2018
Lecturer in Mathematics and Computer Science at INSA Euro- Mediterranean
Probabilities for engineers ; Mathematics( algebra and analysis).
Level: preparatory classes.
2014-2018
Part-time lecturer at Mohammedia School of Engineers (EMI) in Rabat, Morocco).Numerical modeling and programming in Matlab, (1st year Computer Modeling and System Modeling (MIS),
2015-2017
Numerical modeling and programming in Freefem++, (3rd year MIS Engineering, EMI).
2015-2018
Statistical analysis (univariate and bivariate) in SPSS, (1st year
Engineering MIS, EMI).
2017-2018
C++ Programming, (3rd year MIS Engineering, Hassania Engineering School of Public Works, Casablanca, Morocco).
N.ZEMZEMI, R. ABOULAICH, N.FIKAL, M.EL GUARMAH «Sensitivity of the
Electrocardiography Inverse Solution to the Torso Conductivity Uncertainties. Volume 9126 of
the series Lecture Notes in Computer Science, Functional Imaging and Modelling of the Heart.
pp 475-483 , 2016.
R. ABOULAICH, N. FIKAL, E. EL GUARMAH, N. ZEMZEMI, «Stochastic Finite Element
Method for torso conductivity uncertainties quantification in electrocardiography inverse
problem », Math. Model. Nat. Phenom. Vol. 11, No. 2, 2016, pp. 1-19 DOI:
10.1051/mmnp/2016 11201.
N. FIKAL, R. ABOULAICH, N. ZEMZEMI, E. EL GUARMAH «Propagation of two
independent sources of uncertainty in the electrocardiography imaging inverse solution Math.
Model.Nat.Phenom.Volume14,Number2,2019,DOI: https: //doi.org/10.1051/mmnp/2018065.
- Pobabilities
- 1,2,3 Analysis
- Algebra1,2,3
- Differential calculation