معرفی
Mahmoud Aldraimli is a Lecturer in Applied AI at the University of Westminster, with prior roles as a Data Scientist Research Fellow since 2020. His work bridges machine learning and healthcare, collaborating with NHS Trusts, cancer centers, and academic institutions globally. He mentors students and partners with UK businesses across sectors like housing, banking, and retail to advance AI applications.
Research Interests: Applied machine learning, predictive modeling for medical outcomes, and healthcare data analysis. His work spans radiation therapy side effects, visceral fat diseases, and ICU mortality prediction.
Article Trends: Focus on cross-disciplinary healthcare challenges using machine learning, including cancer treatment complications, metabolic disorders, and critical care outcomes. Collaborative, data-driven approaches dominate his publications.
- Scientific Awards:
- Quintin Hogg Trust scholar
- Go-Westminster Award nominee 2024
Advising: Supervises doctoral researchers Ria Mukherjee (body composition prediction) and Iustina Ivanova (sports climbing data science). His collaborations extend to UK technology firms and academic institutions.
