Nasim Dadashi Serej

Nasim Dadashi Serej is a Lecturer in Artificial Intelligence at the School of Computing and Engineering, University of West London. Her expertise lies in applying AI to healthcare challenges, particularly in medical data analysis, collaborating closely with clinicians and healthcare organizations. Her research focuses on machine learning, deep learning, computer vision, and medical image-guided interventions.

Her research interests include advanced AI techniques such as 3D scene analysis, natural language processing, stochastic search methods, and combinatorial optimization. She actively contributes to the development of software solutions for medical applications like image-guided navigation, medical image/video processing, and dataset collection.

Nasim teaches across multiple programs, including BSc and MSc courses in Artificial Intelligence, Data Science, and related fields. Her recent publications span AI-driven healthcare innovations, from seizure detection to cardiovascular imaging analysis and pandemic forecasting. She emphasizes collaboration with clinical partners to ensure practical, real-world impact.

Her work bridges theoretical AI advancements with clinical practice, aiming to improve diagnostic accuracy and patient outcomes through technology.