Division of Bioengineering and Machine Learning

Center for advancing translational cancer research and personalized cancer care in the UAE

The Division of Bioengineering and Machine Learning integrates engineering innovation with artificial intelligence to revolutionize cancer research and treatment.

By combining advanced computational modeling, machine learning, and biomedical engineering, the division develops smart tools and technologies that enhance cancer diagnosis, therapy, and patient monitoring.

Our researchers design bioengineered systems for targeted drug delivery, tissue modeling, and biomarker detection, while leveraging machine learning to analyze complex biological data and predict treatment outcomes. Through this synergy of engineering and data science, the division enables more precise, efficient, and personalized approach to cancer care.

Collaborating across disciplines, the Division of Bioengineering and Machine Learning drives innovation at the intersection of technology and medicine to accelerate progress in cancer research.

Division-of-Bioengineering-and-Machine-Learning

Internal Members

Dr. Murad Al-Rajab

Assistant Professor, Computer Science and Information technology, College of Engineering

Dr. Rabah Al Abdi

Assistant Professor, Electrical and Biomedical Engineering, College of Engineering

Dr. Khaldon Lweesy

Assistant Professor, Biomedical Engineering, College of Engineering

External Members

Prof. Ahmed Ihab

Professor of Human Genetics & Molecular Medicine, Newgiza University, Egypt

Dr. Asim Abdul Aziz Khogeer

Consultant Genetics and Molecular Medicine, Clinical Research Associate and Scientific Committee Advisor, Ministry of health, Saudi Arabia

ADU-CRI Collaboration Partners