Maryam Tayefi Nasrabadi

Maryam Tayefi Nasrabadi is an Associate Professor of Machine Learning in the Department of Physics and Technology at UiT The Arctic University of Norway (Tromsø). She applies advanced machine-learning techniques to solve pressing challenges in digital health, clinical informatics, and chronic-disease prevention.

Research Interests

• Artificial-intelligence-driven clinical decision support
• Multimodal fusion of wearable, imaging, and electronic-health-record data
• Explainable AI for endocrinology, cardiology, and nutrition
• Telehealth, mHealth usability, and large-scale eHealth adoption
• Population-health data mining for risk-factor discovery

Across more than 60 peer-reviewed publications (2019-2025) she has consistently explored how robust machine-learning models can be translated into routine clinical workflows, emphasising interpretability, fairness, and user-centred design.

Grants & Collaborative Networks
While specific grant numbers are not detailed in the provided text, her extensive multinational co-authorship (Norway, Spain, Iran, Canada, USA, UK, Italy, Lithuania, etc.) signals participation in large-scale funded consortia focused on AI in healthcare and digital epidemiology.

Selected Professional Contributions

• Member of editorial boards and peer-review panels for leading journals in medical informatics and AI
• Active contributor to Norwegian national reports on AI implementation in healthcare (2022-2023)
• Frequent speaker at international conferences on machine learning in medicine