معرفی
Sayna Rotbei is a postdoctoral researcher at the Karolinska Institutet, affiliated with the Department of Medical Epidemiology and Biostatistics and part of the Predictive Medicine – Mattias Rantalainen's Research Group. She holds a PhD in Information Technology and Electrical Engineering from the University of Naples Federico II (2024) and focuses on applying artificial intelligence to healthcare challenges.
- Education: PhD in Information Technology and Electrical Engineering, University of Naples Federico II (2024).
Her research interests center on artificial intelligence and machine learning applications in healthcare, including clinical decision support systems, outcome prediction, and interdisciplinary data-driven solutions. She combines medical data, computational models, and public health perspectives to address real-world clinical challenges.
Recent publications highlight her work on diabetes (2024), robot cybersecurity (2023), lockdown-induced psychiatric symptoms (2022), prostate surgery outcomes (2023, 2024), and early autism detection (2020, 2021). These studies span systematic reviews, predictive modeling, and smart diagnostic architectures.
In teaching, she has supported undergraduate and postgraduate courses in information technology and data processing, and guided master’s students on research design and implementation.
