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Martin Jakobsson is an associate professor at KTH Royal Institute of Technology. He has a strong focus on designing robust network protocols and Information and Communication Technology (ICT) solutions that are easy to use and configure, particularly in wireless networks, wireless sensor networks (WSNs), and wearables for the Internet of Things (IoT). His application areas include health, wellbeing, and sports. He is a faculty member of the board at the KTH Center for Sports Engineering and has been involved in several innovative projects. One such collaboration with Karolinska University Hospital focuses on designing a lifestyle intervention app for arrhythmia patients. Another VINNOVA-sponsored project aims at applying signal processing and machine learning to waveform data of physiological signals to enhance the workflow of anesthesiologists during surgeries. Additionally, he is part of a project utilizing machine learning in the trauma unit to identify patient cases and opportunities for improvement. His work with the Digitalization Platform at KTH involves developing a digital drone twin to analyze human movement types in sports performance using depth cameras, and he is also involved in projects using wearable sensor systems to detect movements. In his teaching capacity, he is responsible for several courses, including Communication Systems and Project Carrier Courses for Medical Engineers.
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