Dr. Walid Mourou

I'm teaching : 1- Machine Learning for Data Science 2- Digital Content Protection by Watermark 3- Introduction to Deep Learning 4- Practical Work for Operational research

With the CEO, we created the first core of the AI team. InstaDeep was Nominated at the MWC17 in the Top 20 most intriguing startups by PCMAG. I focus primarily on the technical implementation of research projects. It provides me with the ideal balance between technical software engineering and machine-learning research.

* Participation in the General Census of Population and Housing 2014 (Tunisia): questionnaire design, data quality assessment, imputation of missing values, reporting. * Design and implementation of data warehouse for statistics dissemination for the website of the National Institute of Statistics -Tunisia. * Implementation of a system based on the Statistical Data and Metadata eXchange (SDMX) standard to exchange data with international organisations and national statistic sources (electronic link).

Teaching sampling theory for french learners.

Provide support to Statistics Department in archiving and documenting economic and social surveys according to International Household Survey Network (IHSN) recommendations. * Archiving tool: Nesstar Publisher (international documentation standards: DDI & DCMI). * Dissemination tool: Microdata Cataloging Tool (NADA).

I taught three courses: 1- Surveys and data analysis. 2- Introduction to SPSS. 3- Descriptive statistics.

Teaching descriptive statistics to french language learners

Simulating the dynamics of desert dunes by data assimilation using hydrodynamic model and satellite google images

Design and implementation of the Tunisian Statistical Atlas on ArcGIS by theme: social statistics, economic statistics Supervision of the digitization process of the Tunisian territory based on the national geographical classification on ArcGIS (Governorate, Delegation, Sector). Participation in the control and supervision of General Census of Population and Housing 2004

Some problems in image processing by mathematical morphology, asymptotic analysis and data assimilation.

Statistics and Data Analysis