Farhad Abtahi
Researcher
Details
Researcher
About me
I'm a researcher in Medical Technology and Ergonomics at KTH, with a passion for combining engineering and health to create practical solutions that make a real difference. My background includes a joint PhD in Medical Technology and Medical Science from KTH, as well as degrees in Electrical and Biomedical Engineering and Computer Engineering.
My work focuses on developing intelligent systems that use wearable sensors, smart textiles, and AI to monitor and support human health and performance. A key area of interest for me is ergonomic risk assessment—I design systems that use technical measurements (like IMU sensors and physiological data) to evaluate posture, workload, and movement in real time. These tools are used in both occupational health and clinical settings to help prevent injuries and promote safer, more sustainable working conditions.
At KTH, I enjoy teaching and mentoring students, especially in areas related to biomedical signal processing and data-driven health technologies. I aim to inspire students to explore how engineering can support people in their daily lives and health journeys.
I’m also deeply engaged in innovation and entrepreneurship, and I work actively to translate research into real-world solutions through startup ventures and collaboration with industry. I believe that research should not only generate new knowledge but also lead to concrete impact.
I'm always interested in interdisciplinary collaboration and practical applications of technology in healthcare, rehabilitation, ergonomics, and digital health.
Keywords:
Digital Health · Biomedical Signal Processing · Wearable Sensors · Ergonomics · Smart Textiles · IMU Sensors · AI in Healthcare · Human-Centered Design · Real-Time Systems · Occupational Health · Physiological Monitoring · Movement Analysis · Risk Assessment · Data Analytics · Embedded Systems · Innovation · Entrepreneurship
Courses
Medical Technologies in Digital Healthcare Transformation (CM2012), teacher
Signal Processing and Data Analytics in Biomedical Engineering (CM2013), course responsible