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Prof. Charmayne Hughes leads the Department of Age-Appropriate Human Machine Systems at Technical University of Berlin. Her primary mission is to enhance the detection and management of physical neurological injuries in real-world settings. The department focuses on designing and fabricating non-invasive, multimodal wearable sensors and developing data algorithms and user interfaces capable of real-time health monitoring and clinical assessment. Under her leadership, the interdisciplinary research team tackles complex challenges in building enabling hardware and software systems for the deployment and evaluation of technologies in practical environments. Notable projects include wearable energy-harvesting ultra-low-power sensors for remote stroke rehabilitation and deep learning-based systems for evaluating joint range of motion. Hughes is committed to mentoring graduate and undergraduate researchers interested in innovative research opportunities within the department.
Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.