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The researcher Dawood explained that the system, which he developed, helps investigators deal with Apple Watch by collecting digital evidence quickly. This, according to the researcher, contributes to uncovering the details of crimes, and succeeds in producing reliable reports from the Watch before the legal authorities.

He added that the subject of his M.A thesis is novel as it provides an integrated matrix specialized in dealing with Apple Watch at crime scenes.

The thesis relied on merging heart disease databases, and an accurate and effective machine learning system to obtain high classification accuracy. The proposed research method included an initial stage to predict the existence of heart disease, followed by a smart classification to determine the type of heart disease using machine learning. The classification of the disease depends on the results in the initial stage.

In his thesis, the researcher dealt with skin cancer through a global database. He could build a system that classifies skin tumours into malignant and benign tumours with high accuracy through the use of improved deep learning techniques.

His thesis was supervised by Prof. Dr. Mohammed Awad, Professor of Artificial Intelligence at the Arab American University.