zhraa ahmed

• Extracted actionable insights from wearable sensors for improved healthcare outcomes. • Applied advanced statistical and machine learning techniques to analyse clinical and sensor data. • Implemented predictive models to forecast patient treatment response. • Collaborated with multidisciplinary teams to integrate algorithms into clinical workflows. Thesis: Digital biomarkers for immunotherapy in multiple sclerosis patients Grade: magna cum laude (very good)

• Led interdisciplinary projects at University Hospital Erlangen, enhancing healthcare outcomes through advanced data analytics. • Supervised students, fostering skill development in machine learning and data science methodologies. • Implemented agile methods to optimise project delivery, ensuring stakeholder satisfaction. • Collaborated with diverse teams to integrate data-driven insights into clinical workflows, advancing healthcare solutions.

• Delivered teaching and support on technical topics including Artificial Intelligence, Operating Systems, and Software Engineering • Mentored and supervised student projects, fostering collaboration and software development skills. • Carried out academic research in computer science with a focus on activity recognition from RGB-D videos

• Introduced human action recognition method based on a combination of spatio-temporal features and skeleton data of RGB-D videos recorded by Kinect depth camera. • Applied supervised machine learning and deep learning methods to classify different activities using the proposed feature set. .

• Acquired the technical skills essential for problem solving, software design and development, and database management. • Gained the ability to independently solve problems and contribute to existing research efforts. Grade: Distinction with Honors GPA: 89% Rank: 1st/140