The Computer Science Department discussed the doctoral dissertation titled: Face Mask Detection and Tracking of Video Stream Using Deep Learning

by the PhD student (Shahed Fadel Abbas), majoring in General Computer Science, on Tuesday, October 29, 2024, in the late Dr. Imad Kadhom Hall in the department building. The dissertation aims to develop an adaptive and accurate system for face detection and tracking, which involves using a face image with a mask to extract features with high accuracy. The examination committee consisted of Prof. Dr. Abdulameer Abdullah Kareem as Chair, and members Prof. Dr. Ibrahim Natheer Ibrahim, Prof. Dr. Hassanein Sameer Abdullah, Assoc. Prof. Dr. Raheem Abdul Sahib Akla, Assoc. Prof. Dr. Ikhlas Faleh Nasser, Prof. Dr. Shaimaa Hameed Shakir as a member and supervisor, and Prof. Dr. Firas Abdul Hameed Abdul Latif as a member and supervisor.

As part of enhancing students' skills in the field of cybersecurity, second-year students in the Computer Security and Cybersecurity branch conducted a training workshop for their peers on how to install and use the Kali Linux operating system. The workshop included an introduction to the essential cybersecurity tools available in the system, aiming to increase awareness of security tools and their basic uses.

The workshop was presented by students: Israa Raed, Naba Ali, Mohammed Issa, Dhurgham Kazem, and Murtadha Mohammed. They demonstrated tools that will be used later in the operating system, including Cewl, Crunch, Hashcat, John, Johnny, Medusa, ncrack, Nmap, Ohrwurm, Powerfuzzer, and Sfuzz, explaining the functions and importance of these tools in cybersecurity.

This workshop is part of the Computer Science Department's plan to enhance theoretical and practical knowledge in cybersecurity as part of the "Stream Cipher" course, under the supervision of the theoretical instructor Professor Dr. Alaa Kadhom Farhan and the practical instructor Assistant Lecturer Fadel Abbas Fadel. The workshop received notable engagement from the students.

The Computer Science Department discussed the doctoral dissertation titled: Big Data Analysis Based Business Intelligence Using Hybrid CNN-RNN

by the PhD student (Asaad Raheem Kareem), majoring in General Computer Science, on Monday, October 28, 2024, in the late Dr. Imad Kadhom Hall in the department building. The dissertation aims to develop a business intelligence learning platform capable of performing effective predictive analyses on future trends, making quick decisions, and identifying error rates to handle big data with multiple characteristics. It was concluded that the business intelligence platform effectively managed diverse data types and multiple interactions. The examination committee consisted of Prof. Dr. Ahmed Tareq Sadeq as Chair, and members Prof. Dr. Matheel Imaduddin Abdulmunem, Prof. Dr. Hanaa Muhsin Ahmed, Prof. Dr. Iyad Rawdan Abbas, Assoc. Prof. Dr. Enas Mohammed Hussein, and Prof. Dr. Hassanein Sameer Abdullah as a member and supervisor.

Under the supervision of the Head of the Computer Science Department, Professor Dr. Alaa Kadhom Farhan, the Computer Science Department at the University of Technology has commenced, in accordance with the guidelines set by the Ministry of Higher Education and Scientific Research, the comprehensive (oral) exam for doctoral graduate students who passed the first round for the academic year 2023-2024, on Monday, October 28, 2024.

The Head of the Department, Professor Dr. Alaa Kadhom Farhan, attended the exam to observe the exam process, assess the students' levels, and commend the examination committees for their efforts, wishing our students success and progress.

The Registration Division in the Computer Science Department has begun welcoming newly admitted students according to the central admission channels for the 2024-2025 academic year, under the direct supervision of the Head of the Department, Professor Dr. Alaa Kadhom Farhan, who has worked to overcome any obstacles in service to our dear students.