Rania Aboulfadl, Ph.D.

Ph.D. Research: - Utilized semi-supervised models to classify the operational mode (normal or degradation) of Li-ion primary cell batteries and developed predictive models to estimate their remaining lifespan. - Leveraged connected sensor data to automate crop irrigation and reduce water consumption. Proficient in Python, Git, SQL, TensorFlow, Scikit-Learn, Pandas, Jupyter Notebooks, Docker and BI tools (Grafana). Presented findings at SAFEPROCESS 2024, demonstrating expertise in machine learning algorithms, statistical analysis, and the application of data science in predictive maintenance and energy management.

As the Model in the Loop (MIL) Test Bench Manager at Groupe Renault, I was responsible for validating the embedded system (ECU model) to meet specified requirements while proactively identifying and resolving potential issues for software optimization. My role focused on: - Conducting comprehensive MIL (Model in the Loop) tests to validate vehicle software and ensure adherence to stringent standards and specifications. - Proactively identifying software anomalies and optimizing the software in advance, facilitating smoother regression testing and prototype vehicle experimentation. - Ensuring compliance with Autosar standards, promoting seamless integration of embedded systems within the vehicle framework. - Utilizing advanced technical skills in MATLAB, anomaly detection, software validation, and programming in C and C++ for test execution and system optimization. This experience has honed my abilities in software validation, embedded systems optimization, and test bench management, driving innovation and continuous improvement at Groupe Renault.

As a Hybrid Powertrain Calibration Engineer at Groupe Stellantis, I developed a post-processing tool to validate the robustness of calibrations for hybrid powertrains. My role focused on: - Creating a post-processing tool to analyze drive tests and validate calibration robustness. - Designing Validation Plans to simulate real-world customer use cases. - Synthesizing requirements to address challenges in thermomanagement, energy optimization, and drivability. - Building and optimizing the tool for data acquisition and analysis, utilizing INCA, CAN, LIN, C, and C++. - Conducting comprehensive data analysis to ensure robust calibration processes. This experience enhanced my skills in signal processing, testing and validation, robustness analysis, vibrational analysis, data science, numerical simulation, and calibration, contributing to the efficient performance of hybrid powertrains at Groupe Stellantis.

As a Project Manager at Groupe Renault, I successfully led the deployment of the MPM (Management of Performance of Means) approach in the assembly department. My role focused on: - Conducting comprehensive training for personnel to integrate the MPM approach. - Utilizing PARETO analysis to identify and address the most critical performance issues. - Managing anomalies with effective tracking and follow-up. - Performing FMEA to reduce machine-related anomalies. - Implementing preventive maintenance for continuous equipment operation. - Ensuring the sustainability of the MPM approach through departmental capitalization and the development of a VBA application for easier adoption by operators. This experience honed my skills in project management, process analysis, and personnel training, contributing to the enhanced operational efficiency of the assembly department at Groupe Renault.

As an Electrical Energy Production Improvement Engineer, I successfully led a project to enhance internal electrical energy production. My role involved: - Designing key components to improve the energy production system. - Conducting thorough technical and economic evaluations for developing a new electrical production unit. - Selecting a suitable steam turbine and coupling it with an alternator from a non-repairable generator set. - Implementing and regulating the new turboalternator group using Matlab Simulink, ensuring synchronization with the MV network for stable electrical system performance. This experience advanced my technical expertise in electrical engineering and provided hands-on skills in computer-aided design and complex system modeling.

As an intern at ONEE's Electrical Division, I gained valuable experience in the areas of transformers, electrical consumption, and energy storage. My role involved: - Conducting studies and maintenance of transformers to ensure efficient power distribution. - Analyzing electrical consumption patterns to develop optimization strategies. - Exploring and evaluating energy storage solutions to improve grid reliability. This experience expanded my understanding of electrical systems and energy management, contributing to my development as a skilled engineer in the field.