Mehdi Jebali

- Designing state-of-the-art deep learning methods for various tasks - Processing, cleansing, and verifying the integrity of data used for analysis - Selecting features, building and optimizing Machine Learning models - Building processes to analyze model performance and accuracy - Defining strategies and goals for Data Science projects

- Analyzing the technical and functional specifications of the software - Working with developers in order to build the tests of acceptance - Building and executing test cases - Identifying bugs and ensuring their correction progress

- Specifying the modeling of LBM manufacturing at the track scale - Performing thermo-hydraulic simulation of Laser Beam Melting process - Calibrating the numerical model with experimental observations

- Building a script to solve an inverse problem in linear elasticity (Steklov-Poincaré Method) - Validating the script by asserting its numerical output with the expected results. - Developing another inverse problem solver with evanescent regularization method - Comparing the numerical stability of two methods