It was established in 2009-2010 under the name of the College of Computer Technology, then its name was changed to the College of Information Technology in 2012, as a result of the development of scientific curricula. It is one of the advanced colleges in the university in terms of infrastructure and laboratories. The college grants a bachelor's degree (computer science) according to the departments mentioned above. The college follows the course system. Postgraduate studies (Master - PhD) in the software department.
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The University of Babylon is one of the largest universities in Iraq. It is situated on the banks of the Euphrates River in the province of Babil in central Iraq. The institution is made up of 21 colleges spread across three main locations in Hilla. The central university campus is in the medical colleges complex in the center of Hilla -Al-Iskan.
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Pre-Dissertation Seminar by Ph.D. Candidate Safaa Hadi Khudair Abis in the Department of Software Duhaa Fadill Abbas As part of the ongoing scientific activities at the Department of Software – College of Information Technology, University of Babylon, Ph.D. candidate Safaa Hadi Khudair Abis delivered his pre-dissertation seminar on his proposed research titled: "Land Cover Classification of Synthetic Aperture Radar Images Using Machine Learning", under the supervision of Prof. Dr. Hidhab Khalid Abis, and in the presence of the department’s scientific committee. In his presentation, the researcher emphasized the growing significance of deep learning techniques in the field of remote sensing, particularly for land cover classification. He explained that the effectiveness of these methods relies heavily on the availability of large volumes of high-quality training samples—an essential yet challenging factor in achieving accurate results. The dissertation proposes an innovative strategy to enhance and expand the temporal sequences of training samples. This approach involves utilizing caching statistics and band selection to increase data volume and reduce class overlap within buffer zones. The study further integrates an attention mechanism to fuse spatial and temporal feature vectors extracted from multiple LSTM cells, in conjunction with a U-Net architecture—an approach that significantly improves classification precision.
by: Duhaa Fadill Abbas
Date: 10/09/2025
Date: 09/09/2025
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