Ibrahim Kovan

EV battery optimization utilizing machine learning based virtual sensor approaches within a Volkswagen AG funded project Created virtual sensor frameworks by deploying sensors, recorded datasets, and conducted thorough data analysis, including visualization, feature engineering, and understanding of data characteristics. Developed unique machine learning/deep learning models for classification/regression tasks, leveraging state of art algorithms and techniques.

Main subjects: Machine Learning, Programming, Graphical Programming, Medical Imaging, Biostatistics, Modelling & Simulation, AR / VR Thesis: Battery Defectiveness in Medical Devices: Machine Learning based Prediction, Analysis, and Implementation with Focus on Force Dynamics