The Supreme Council for Youth, in partnership with the Office of the Prime Minister's Advisor for Artificial Intelligence, announces the launch of the Artificial Intelligence Clubs program. The program aims to empower recent graduates by providing specialized training in the concepts of the Fourth Industrial Revolution. The initiative seeks to bridge the gap between academic education and labor market requirements, and the program is open to applicants from various disciplines, emphasizing the vision of building a generation capable of facing professional challenges efficiently and effectively.

The training program includes training on the concepts of the Fourth Industrial Revolution, which covers four main areas: life skills, programming techniques, technology techniques, and artificial intelligence applications techniques.

At the end of the training program, trainees will gain technical and practical skills that will help them find job opportunities and create entrepreneurial projects that will contribute to the country's knowledge economy growth.

Upon successful completion of the training program, the participant will receive an international experience certificate in addition to an easy loan supported by the Ministry of Labor and Social Affairs.

Application Form Link

The Department of Computer Science discussed the PhD thesis titled "Swarm Robots For Monitoring Area Coverage Within Dynamic Obstacles Environment" by PhD student Dina Kazem Mohsen (Computer Science / General) on Thursday, 2024/9/12 in the late Dr. Imad Kazem's hall in the Computer Science Department building. The thesis aims to solve the problem of area coverage by presenting an intelligent system for area coverage using a swarm of mobile robots to perform rescue tasks in emergency situations. This is based on several methods using five real robots of the TurtleBot3 type. The proposed system achieved a challenge in the field of robotics by allowing the robots to navigate in a dynamic environment and integrating several exploration and path-planning algorithms. The proposed system is characterized by scalability, flexibility, and generality. Its generality allows it to be applied in healthcare, firefighting, earthquake response, search and rescue, and other emergency scenarios. The discussion committee consisted of Prof. Dr. Abbas Fadhel Mohammed Ali as the chairman, with members Prof. Dr. Safana Mothher Raafat, Prof. Dr. Iyad Rudhan Abbas, Assist. Prof. Dr. Rehab Faleh Hassan, and Dr. Ahmed Tareq Sadeq as a member and supervisor, along with Assist. Prof. Dr. Firas Abdulrazzaq Raheem as a member and supervisor.

The master's student Murtadha Adnan Aboud, Computer Science/General, defended his thesis on Wednesday, September 11, 2024, in the Dr. Imad Kazem Memorial Hall at the Computer Science Department building. The thesis aims to provide insights into the important topic of language modeling, with a focus on Arabic language modeling. It develops a system capable of accurately predicting subsequent words in Arabic using deep learning techniques. The thesis concluded that hybrid models enhance the prediction of Arabic words and highlighted the effectiveness of combining deep learning structures to address the complexities of Arabic text. The discussion committee consisted of: Prof. Dr. Aliaa Kareem Abdulhassan (Chair) Asst. Prof. Dr. Khaled Shakir Jassim (Member) Asst. Prof. Dr. Athraa Jassim Mohammed (Member) Asst. Prof. Dr. Suhad Mal Allah Kazem (Member and Supervisor).

The Department of Computer Science discussed the master's thesis entitled "Improving Data Privacy Based On Zero-Knowledge Proof Technique" by the student Sajjad Mohammed Shallaka (Computer Science / General) on Tuesday, September 10, 2024, in the late Dr. Imad Kazem Hall at the Department of Computer Science building. The thesis aims to propose an online authentication system that focuses on data privacy and enhances the security of the authentication process. The results demonstrated that the proposed system provides a high level of security and reliability, showing effectiveness in segmenting, transmitting, encrypting, and securely storing information within the database, as evidenced by time tests, avalanche effect, and entropy. The discussion committee consisted of Prof. Dr. Bashar Maki Naama as the head, and members Prof. Dr. Ikhlas Khalaf Kabashi, Asst. Prof. Dr. Suhair Mohammed Zaki, and Prof. Dr. Hala Bahjat Abdulwahab as a member and supervisor.

Under the direct supervision of the Head of the Computer Science Department, Prof. Dr. Alaa Kazem Farhan, the Human Resources Division in the Department of Computer Science has launched the internal Human Resources (HR) system. This system integrates various processes and systems to ensure easy management of human resources with key features that assist in organizational management and absence management, such as (sick leaves, study leaves, and maternity leaves). Additionally, the process of archiving documents from the year 2020 onwards has been completed.