👋 Hi there! I'm ZAYENI Hatem, i graduated in December 2023 from the National School of Engineers of Tunis (ENIT) with a doctorate in applied mathematics. Since then, I have been actively engaged in learning and making progress in Artificial Intelligence (AI) for mathematics problems and data science. Additionally, I have contributed to the academic community by providing practical workshops at ENIT for the first year of the Master's program in Mathematical Modeling and Data Science. Currently, I am in a 3-month postdoctoral position at Lab lamè at INSA Bourges, where I am continuing my research in developing numerical algorithms to solve inverse problems.

Welcome to my GitHub profile!

• Linux, Windows
• Git, GitHub
• Microsoft Office
• LaTeX

• Python, C++, MATLAB, R
• FEniCS, GetFEM, Firedrake, hIPPYlib
• pyadjoint, FreeFEM
• R Statistics, Gmsh, meshio

• TensorFlow, Scikit Learn, PyTorch, Keras

• Gnuplot
• ParaView

Data assimilation (DA) is a powerful tool that combines observational data with mathematical models to increase prediction accuracy in dynamic systems.

Research includes applying inverse methods for solving data completion problems, numerical implementation using various methods, and application to simultaneous parameter identification and crack detection.

The process involves determining unknown parameters of mathematical models based on observed data or experimental measurements using optimization techniques and statistical methods.

Creating mathematical representations of real-world systems for insights, predictions, or problem-solving.

Using mathematical methods and computational techniques for data analysis, problem-solving, and simulations in scientific research and engineering.

AI and mathematics synergize to drive innovation and problem-solving in various domains, utilizing mathematical concepts, algorithms, and techniques to develop intelligent systems.

I'd love to hear from you! Whether it's about collaboration opportunities, questions about my projects, or just to say hi, feel free to reach out via email or LinkedIn.

• 📧 Email: [email protected]
• 🔗 LinkedIn