firas moatemri

Developed an Inverse Correlated Equilibrium (ICE) framework for autonomous vehicle decision-making at uncontrolled intersections. Using kinematic data (position, speed, acceleration) from traffic simulations in SUMO, the framework learns payoff matrix parameters via game-theoretic inversion. Validated through cross-validation and sensitivity analysis.

-Developed and executed automated model-based test cases using TPT (Test Partitioning Tool) for battery and energy management systems in automotive applications -Worked with MiL (Model-in-the-Loop) testing environments to validate software behavior -Defined test inputs and evaluated test outputs to verify system requirements -Documented and released test results according to project standards

-Developed a software tool to automate the design process, including the automated generation of CAD models in STEP file format -Built using Python and the FreeCAD Python library — user inputs geometric parameters and the tool generates ready-to-use 3D models automatically -Conducted electrical impedance and inductance measurements in the laboratory -Analyzed and applied nanocrystalline Nanoperm materials

-Ported a health monitoring application based on computer vision (OpenCV) from Windows to Linux using Windows Subsystem for Linux 2 (WSL2) Migrated and integrated required libraries and dependencies into the Linux environment Converted existing Python code to C++ to align with the project's C++ codebase

Load Flow Analysis Considering Various Couplings Between Neighboring Medium-Voltage Grids : -Three scenarios with different grid situations are modeled, in which different directions of energy flow occur. -Development of software for grid modeling with Matlab: This software simplifies Grid modeling so that one can examine different examples of networks with different values. -The calculation of the Grid load flows is performed with matpower . -The influence of certain factors is examined for each scenario

Implementation of an Industry 4.0 application for collaborative crane operations -Construction and design of a control unit for collaborative cranes. -Installing the real-time patch on rassbery pie (cross-compiling) -Design and implementation of a control unit (by soldering) . -Implemtation of the corresponding software part on Raspberry PI.