27 August، 2026

Master’s Thesis by Aymen Myasar Hameed – Department of Statistics and Informatics

Master’s Thesis by Aymen Myasar Hameed – Department of Statistics and Informatics

Discussion of the Master’s thesis in the College of Computer Science and Mathematics – Department of Statistics and Informatics, entitled:

“Neutrosophic Time Series and Their Applications in Rainfall Forecasting in Iraq”

The thesis was submitted by Aymen Myasar Hameed and supervised by Dr. Muzahem Mohammed Al-Hashimi.

The thesis addressed the use of neutrosophic theory and Bayesian neural networks in rainfall forecasting and dealing with uncertainty in climatic data.

The study addressed climate variability and the difficulty of accurate rainfall prediction.

The study aimed to develop a hybrid model for improving rainfall prediction and dealing with uncertainty in climatic data.

The discussion committee consists of:

Dr. Hiyam Abdulmajid Hayawi – Chairman

Dr. Alaa Abdul-Sattar Dawood – Member

Dr. Mohammed Qasim Yahya – Member

Dr. Muzahem Mohammed Al-Hashimi – Member and Supervisor

The College of Computer Science and Mathematics Monitors the Progress of the Second-Round Postgraduate Examinations
PhD thesis  by "   " Department of

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