COMPREDICT
Khalid Bouazi has a diverse range of work experience spanning multiple industries and roles. Khalid began their career as a Werkstudent at GSI Helmholtz Centre for Heavy Ion Research in 2015, where they worked in the IT department. In 2017, they worked as a Werkstudent in the Prozessleittechnik department at Sanofi. Later that year, they joined Deutsche Bahn as a Werkstudent in the Campus 4.0 department, where they remained until 2019.
In 2019, Bouazi transitioned to the Technische Universität Darmstadt, where they participated in a Forschungsseminar from April to September. Khalid then returned to Industrial Science GmbH powered by IAV, first as a Praktikant from October to December, and subsequently as a Werkstudent from January to June of 2020.
Throughout 2020, Bouazi continued their work at Technische Universität Darmstadt as a Wissenschaftliche Hilfskraft im Institut Fluidsystemtechnik from July to October. In November of 2020, they joined Industrial Science GmbH powered by IAV once again as a Werkstudent, and they remain in that position.
Most recently, in July 2021, Bouazi also began working at COMPREDICT GmbH as a Research and Development Engineer.
Khalid Bouazi has a strong educational background in the field of Mechatronik. Khalid began their studies in 2014 at Technische Universität Darmstadt, where they obtained a Bachelor of Science degree in Mechatronik in 2018. Khalid continued their academic journey at the same institution, completing a Master of Science degree in Mechatronik - Simulation and Control in 2021.
In addition to their formal education, Khalid has also earned several certifications. These include the "Practical Anomaly Detection" certification from the Initiative for applied artificial intelligence, obtained in January 2023. Furthermore, in June 2014, they received the "Abiturpreis der DPG im Fach Physik" from the Deutsche Physikalische Gesellschaft E.V. This certification demonstrates their excellence in Physics.
Based on the provided information, Khalid Bouazi has a solid educational background in Mechatronik and has obtained additional certifications in artificial intelligence and physics.
COMPREDICT
COMPREDICT‘s virtual sensors and health & usage monitoring provide unique insights of vehicle usage and behavior without additional hardware for all sectors of mobility. Our solution is currently used in applications with 2 up to 18 wheel vehicles – and even trains. The virtual sensors measure the real dynamic behavior of components likesteering, brakes, powertrain and battery, regardless of whether the vehicle is a prototype or a series product, for a single vehicle or an entire fleet. We close the feedback loop between product development, in-use behavior or fleet management and service operations. With COMPREDICT, optimized component design and maintenance allow our customers to reduce weight, CO2 emissions and environmental impact over the whole product lifecycle.