Master’s thesis in the Department of Computer Science discusses a model for bias and fairness processing in machine learning based on face recognition

The Department of Computer Science defended the master’s thesis entitled Amodel For Data Bias And Fairness Treatment In Machine learning Based On Faciail Recognition for the master’s student (Naba Abdulhussain Qasim) Computer Science / Software on Monday, 2/2025/3 at the hall of the late Dr. Imad Kazim in the building of the Department of Computer Science. The thesis aims to present machine learning models for the purpose of reducing bias in databases in order to obtain fair and unbiased prediction models. The results showed that the proposed models were able to reduce the bias. The discussion committee consisted of Prof. Dr. Ikhlas Faleh Nasser as chairman, Prof. Dr. Ihsan Salman Jassim, Prof. Dr. Suhair Mohammed Zaki, Prof. Dr. Khalil Ibrahim Gathwan as member and supervisor, and Dr. Abeer Tariq Mouloud as member and supervisor.