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Phd Student in Statistics
An enthusiastic, adaptive and fast-learning person with a broad and acute interest in the discovery of new innovative methods, I particularly enjoy collaborating with scientists from different disciplines to develop new skills and solve new challenges.
- Mastery of computers (Word, Excel, Access, Power Point).
- Langage c, Fortran, Matlab.
- Python, SPSS.
Supervision and support Students
Supervision and support of second semester students for up to thirty hours in the subject of Physics and Mathematics.
Tutored students during the fall 2011 session in the first semester of the physical sciences.
Phd Student in Statistics
The subject is “Numerical modeling of co- publication between entities (countries, university, etc) by Gravity Model”.
BIG DATA and Machine Learning
Master’s Degree in energy research and materials technology
Bachelor in Physical Sciences
Software development technician
For oral and technical presentation, recognition and appreciation of research contribution to ICSSA 2017: 19th International Confernce on Similarity Search and Applications.
Similarity indexes have been widely used and compared for scientometric research.The main objective of this paper is to provide scientometricians with a practical and informative literature review pertaining to these indexes with respect to scientometric analysis, namely: co-word, co-citation and co-author.
Project”Cartographie de la coopération scientifique des pays du Maghreb”.
My role in this project is to focus on understanding, mastering and numerical programming of the normalization indices essential for the construction and visualization of co-occurrence networks and clusters.
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