Maria Lindén

Maria Lindén is a Professor at Mälardalen University's School of Innovation, Design and Engineering within the Division of Intelligent Future Technologies. Her research focuses on healthcare technology, wearable sensors, and artificial intelligence, with applications in medical imaging, chronic disease monitoring, and smart home systems. She collaborates extensively with industry and healthcare providers to develop practical solutions for non-invasive health monitoring and behavioral change interventions.

Key research areas include machine learning for medical diagnostics (e.g., melanoma detection via deep learning), IoT-enabled health systems (e.g., smart home cognitive assessment), and signal processing algorithms for vital sign measurement (e.g., blood pressure estimation from PPG signals). Her work bridges clinical needs with engineering innovation, emphasizing interdisciplinary collaboration.

Her publications (2021–2025) reflect a strong focus on wearable sensor systems, health technology adoption, and data-driven clinical decision support. Recent studies explore AI-driven tools for early disease detection, eHealth interventions for sedentary behavior, and novel algorithms for medical signal analysis.

She has no listed awards but has led numerous research projects and co-authored over 50 peer-reviewed articles. Her team develops open-source tools like PPGFeat and collaborates on platforms for real-time patient monitoring. No student advisees are explicitly mentioned in the provided texts.