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Ph.D student Osam Hyder Majeed defended his thesis, which treat with text as one of the most influential inventions of humanity, has played an important role in human life, so far from ancient times. The rich and precise information embodied in text is very useful in a wide range of …

The Faculty of Computer Science and Mathematics held a symposium on Women’s empowerment and Renewable Energy where the presenter Dr. Rasha AboAlSoud considered the relationship between those modern concepts.

The Faculty of Computer Science and Mathematics held the 4th International Workshop on Dynamics and Combination on 5-6 March 2023 on the Smart Hull. For more information, please visit the workshop’s link

The Faculty of Computer Science and Mathematics held the first meeting of the Google’s developer Club to discuss the recent application of Artificial Intelligence. The dean of the faculty provides a talk to support the students to improve their knowledge in this important topic. Some of the recent advances in …

In this work, a study on the use of a type of genetic algorithm for Android operating purposes. This application involves training the algorithm first on a sample set of samples from safe, fashionable, and samples from malicious applications, so that the developed model can then detect the type of …

With the support of Google, A group of students at the Faculty of Computer Science and Mathematics joined a google developer club of Google. This club will help students to develop their knowledge in the usage of Google products. This club is also a close programmers society where all members …

The Faculty of Computer Science and Mathematics, Computer Science Department, discussed the doctoral thesis titled ” Energy Theft Detection Based on CNN Approach ” by the student Maali Hashim Alameedi. The thesis presented a study on the use of deep learning techniques in analyzing and distinguishing abnormal consumer behavior. The …

Ph.D student Ali Hasan Muosa defended his dissertation entitled “Detecting Internet BGP Routing Anomalies Using LSTM-AE”. A hybrid learning model, the Long Short-Term Memory-based Autoencoders network (LSTM-AE) with dynamic threshold and dynamic features selection through window slides were studied. The proposed model can detect 11 events in all kinds of …

Ph.D student “Ihsan Ali Karim defended his dissertation entitled “Detection of Sand Dunes using Multispectral Satellite Images based on Machine Learning Techniques”. The study dealt with machine learning techniques in analyzing satellite images of multispectral satellites in discovering and distinguishing terrestrial phenomena. The study focused on the phenomenon of sand …

Niran Ali Abdulhussein defened her master dissertation entitled “User Recommendation System based on Web of Things (WoT)”. The dissertation presented a study on the use of deep learning algorithms, including the GloVe algorithm developed by researchers at Stanford University and its use as a news article recommendation technique, using the …