معرفی
Dr. Sara Sharifzadeh is a Senior Lecturer in Computer Science at Swansea University. Her research applies machine learning to spectral/satellite data analysis, human activity recognition, and robotic sensor systems.
Education
PhD in Computer Science (Technical University of Denmark, 2015).
Research Focus
She develops AI models for healthcare (e.g., rehabilitation assessment), agriculture (crop mapping), and industrial diagnostics (bearing fault detection), leveraging radar, infrared, and satellite data.
Publication Trends
Her 15 most recent articles (2021–2025) emphasize deep learning for sensor-based applications: radar activity monitoring, satellite crop classification, and healthcare robotics. Methodologies include transformers, GANs, and reinforcement learning.
Collaborations
She has led EPSRC/Danish Council-funded projects with industry partners and reviews for high-impact AI journals.
