Administrative Divisions Al-Mustaqbal Center for Artificial Intelligence Applications
As part of its continuous support for researchers and students, and in alignment with the Sustainable Development Goals, the Al-Mustaqbal Center for Artificial Intelligence Applications at Al-Mustaqbal University announces the availability of the 4WD Car Chassis among its advanced technical resources. This smart chassis serves as a solid foundation for building robotic and intelligent vehicle projects. It includes a durable base, four DC gear motors, a battery holder, and easy connection ports compatible with Arduino or other microcontrollers. The chassis is ideal for educational robotics, self-navigating vehicles, line-following smart cars, and interactive mobile projects. Sensors such as ultrasonic or line trackers can be added to enhance its autonomous capabilities. This initiative reflects the Center’s commitment to SDGs, particularly Goal 4 (Quality Education) and Goal 9 (Industry, Innovation, and Infrastructure), by empowering innovators and fostering hands-on, AI-driven research projects. Al-Mustaqbal University – The Top Private University in Iraq
The Industrial Advisory Council at the College of Engineering and Engineering Technologies – Al-Mustaqbal University held its third session on Monday, June 2, 2025, chaired by Asst. Prof. Dr. Azhar Mohsen Abd, Dean of the College, and attended by a distinguished group of experts and consultants from both public and private sectors. Attendees included: Eng. Adnan Al-Faihan, President of the Babylon Chamber of Commerce, Eng. Saleem Al-Rubaie and Eng. Alaa Hamza Daham (Private Sector), Dr. Adnan Abdul-Nabi, Assistant Director of the Rubber Factory in Kufa, Eng. Haider Mohammed, representing the Warith Center for Prosthetics – Holy Hussainiya Shrine, along with Heads of Scientific Departments and Directors of Research Centers at the University, including Prof. Dr. Nidhal Khdhair Al-Abbadi, Director of the Al-Mustaqbal Center for AI Applications. Dr. Azhar Mohsen welcomed the attendees, highlighting the College’s vision to strengthen cooperation with the industrial sector, which plays a vital role in equipping students with practical skills and enhancing community service. The session addressed several key topics, including: Training and qualifying students to meet labor market demands. Linking graduation projects with business incubators and entrepreneurship. Building research and innovation partnerships between academia and industry, particularly in technology and energy sectors. Attendees emphasized the importance of holding such periodic meetings to foster sustainable collaboration between academia and industry, and to achieve high-quality educational outcomes aligned with national development goals. At the conclusion of the meeting, the Dean expressed his sincere gratitude to all participants for their valuable contributions toward bridging the gap between higher education and the industrial sector. Al-Mustaqbal University – The Top Private University in Iraq
Distinguished Research Published by Prof. Dr. Nidhal Khdhair Al-Abbadi in AI-Based Video Colorization The Al-Mustaqbal Center for AI Applications at Al-Mustaqbal University extends its sincere congratulations to Prof. Dr. Nidhal Khdhair Al-Abbadi, Director of the Center, for the publication of his distinguished research titled: "Dynamic Reference Image Selection for Seamless Video Colorization Across Scenes" in the Passer Journal of Basic and Applied Sciences, Volume 1, Issue 1, 2025. The study addresses the technical challenge of coloring black-and-white videos with multiple scene changes. It proposes a novel AI-based framework for dynamically selecting optimal reference images for each video scene, using ResNet50-GeM for visual feature extraction and Structural Similarity Index (SSI) for scene differentiation. The method achieved a high accuracy of 99% in identifying scene transitions and selecting the most suitable reference images, ensuring smooth and realistic video colorization. 🔹 Relevant Sustainable Development Goals (SDGs): Goal 4: Quality Education – through the development of visually enhanced educational tools. Goal 9: Industry, Innovation, and Infrastructure – by innovating in AI applications for video processing. Goal 17: Partnerships for the Goals – reflecting productive collaboration among Iraqi academic institutions. Congratulations to Prof. Dr. Nidhal for this scientific achievement. We wish him continued success in advancing research and smart applications. Al-Mustaqbal University — the top private university in Iraq
Al-Mustaqbal University held a consultative meeting chaired by Prof. Dr. Hasan Shaker Majdi, University President, with the attendance of the Vice Presidents for Scientific and Administrative Affairs, the Director of Scientific and Academic Supervision, as well as several department heads and university officials. The meeting focused on evaluating the outcomes of the “Third Al-Mustaqbal International Sustainability Week – 2025 Edition,” highlighting the key achievements of the scientific and cultural activities, and the active participation of students and faculty members in events promoting the values of sustainable development and innovation. Participants also reviewed the current academic year’s scientific plan, discussing the progress made in implementing its components, identifying existing challenges, and proposing timely solutions within the approved frameworks. Prof. Dr. Hasan Shaker Majdi commended the remarkable efforts of both academic and administrative teams, emphasizing that such contributions have significantly enhanced the university’s standing on both national and international levels. He further called for continued teamwork and commitment to achieving the university’s strategic goals and academic excellence. Al-Mustaqbal University – Ranked First among Private Universities in Iraq.
When Machines Speak and Cities Think: Life in the Age of AI Beyond Imagination Sarah Saadoon Abbas Al-Mustaqbal Center for Artificial Intelligence Applications – Al-Mustaqbal University Introduction: At the heart of the Fourth Industrial Revolution, the world is witnessing an unprecedented surge in artificial intelligence. Machines now speak, learn, and make decisions. Concepts like “smart cities” and “social robots” are no longer science fiction—they are becoming part of our everyday reality. But what does the future hold, and are we ready for a world where AI might exceed our expectations? Major Digital Shifts: AI is rapidly penetrating daily life—from healthcare and education to manufacturing and governance. In modern cities, intelligent systems manage traffic, monitor pollution, and provide public services. In medicine, algorithms can predict diseases with remarkable accuracy, and service robots are becoming common in homes, airports, and hospitals. Vast Opportunities: Boosting efficiency and productivity through automation and data analytics. Serving humanity by addressing challenges like climate change, food shortages, and early disease detection. Expanding human creativity by collaborating with AI in arts, music, and design. Challenges and Concerns: Job displacement due to automation. Algorithmic bias, which can result in unfair or discriminatory decisions. Privacy and cybersecurity, with increasing personal data collection. Human identity—as AI rivals cognitive capabilities, what remains uniquely human? Toward a Human-Digital Balance: The solution lies not in resisting progress, but in guiding it. Governments, educators, and the private sector must collaborate to establish clear policies and promote ethical awareness in AI development and deployment. Conclusion: Future life is more than a technological luxury—it’s a profound challenge to our values and humanity. As we empower machines to “think,” we must ensure that our human essence remains the compass that guides the future. (References): Russell, S. & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press. UNESCO. (2021). Ethics of Artificial Intelligence: A Global Framework. World Economic Forum. (2023). The Future of Jobs Report. Future of Life Institute. (2022). Policy Proposals for Safe AI Development. Al-Mustaqbal University – The No.1 Private University in Iraq
Artificial Intelligence: Transforming the Present, Shaping the Future Artificial Intelligence (AI) is considered one of the most significant fields of technological advancement in the modern era, forming a foundational pillar for innovation and progress across various sectors. AI is based on the development of systems capable of simulating human mental abilities such as learning, prediction, decision-making, and problem-solving. The rapid and continuous developments in this field have turned theoretical concepts into tangible realities that directly impact our daily lives. AI applications have prominently emerged in the medical field through radiological image analysis and highly accurate disease diagnosis, contributing to reduced medical errors and improved early treatment outcomes. The economic and industrial sectors have also benefited from AI by employing smart algorithms to enhance production efficiency and reduce operational costs. In the services sector, AI has helped develop intelligent recommendation systems that enable companies to offer personalized services to customers and achieve higher satisfaction and engagement. Furthermore, AI has revolutionized the fields of communication and information technology. Machine learning algorithms and big data analytics provide vast opportunities for analyzing complex data and extracting valuable insights. These capabilities are crucial for supporting decision-making processes in both corporate and governmental institutions. However, alongside these remarkable advancements come a number of challenges that the international community must address with wisdom and responsibility. Chief among these challenges is the issue of privacy and personal data protection. AI algorithms require massive amounts of data for learning and improvement, raising growing concerns about the potential misuse of such data. AI also faces the challenge of bias and discrimination, as algorithms often rely on datasets that may reflect societal biases. This can lead to unfair or prejudiced decisions, particularly in areas like employment and financial lending. It is therefore essential to develop fair and transparent algorithms that minimize these biases and promote social justice. The impact of AI on the labor market cannot be ignored. Increased automation is expected to replace some traditional jobs, necessitating the implementation of training and qualification policies to prepare individuals for the new job market, which demands advanced skills in technology, programming, and intelligent systems management. In this context, education and training become vital elements for keeping pace with the rapid changes brought about by AI. As reliance on automation and smart technologies grows, educational curricula must be revised to include new topics focused on AI techniques and practical applications. This includes strengthening technical skills for students and employees alike, and offering continuous learning opportunities that help develop competencies and adaptability in the evolving job landscape. Investing in vocational training programs and hands-on workshops also empowers individuals to acquire advanced skills in data analysis, algorithm development, and understanding intelligent systems. These efforts will help bridge the current skills gap and open greater opportunities for achieving comprehensive and sustainable development that enhances global competitiveness. Moreover, international cooperation in the field of AI is essential, as this technology is no longer confined to a specific country or region. Maximizing the benefits of AI requires partnerships and coordination among nations to exchange expertise and develop global standards that govern its use. Such cooperation supports the creation of safe, human-centered intelligent systems, helps reduce technological disparities between countries, and addresses shared global challenges like environmental issues and public health. Despite these challenges, the opportunities offered by AI outweigh the risks. AI serves as a powerful tool to improve human life and ease daily tasks—whether through developing smart transportation systems, enhancing environmental performance, or providing innovative solutions to climate change. Conscious and well-considered use of this technology can serve as a key to building a better and more sustainable future. In conclusion, artificial intelligence is not merely a passing trend, but a comprehensive revolution reshaping the present and the future. The success of this revolution depends on our ability to harness it in service of humanity and well-being, within a framework of human values and ethical responsibility. AI opens broad horizons for a new world—one that balances innovation and accountability to ensure a prosperous and secure future for all. Al-Mustaqbal University – The No.1 Private University in Iraq
In recent years, Artificial Intelligence (AI) has emerged as one of the greatest technological innovations that has transformed everyday life. AI is defined as the ability of systems and software to simulate human intelligence, learn, and think independently. This technology has contributed to a significant shift across various sectors, starting from healthcare and smart industries, to e-commerce, and even in the fields of arts and culture. The practical applications of AI are vast and diverse. For instance, AI is used to develop accurate diagnostic systems in the medical field, to enhance operational efficiency through intelligent data analysis, and to create innovative solutions for environmental and economic challenges. AI has also become a vital component in assisting companies and institutions to make data-driven decisions, reduce waste, and achieve better sustainability. Despite all these advantages, AI is accompanied by a number of challenges and ethical issues. One of the most prominent challenges is privacy. AI technologies raise important questions about how personal data is used and stored securely. There are also concerns regarding bias in AI-generated decisions, which may lead to unfair treatment of certain groups if these systems are not carefully programmed. In the context of the job market, AI is expected to lead to fundamental transformations by automating routine tasks and redefining workforce skills. These changes could increase productivity on one hand, but on the other hand, they might reduce some traditional jobs, thus compelling societies to continuously adapt through the development of digital skills. In light of these challenges, the importance of collaboration between governments, academic institutions, and the private sector becomes evident, in order to establish legal and regulatory frameworks that ensure the safe and responsible use of AI. It is also essential to invest in education and continuous training to prepare individuals for the new digital future. Through the conscious use of AI, humanity can benefit from this revolutionary technology to enhance societal well-being and achieve sustainable development. Ultimately, AI remains a tool in human hands, requiring constant ethical vigilance and balanced thinking to maximize its benefits while considering the human and social dimensions. Al-Mustaqbal University is the top private university in Iraq.
Explainable Artificial Intelligence: Can Machines Justify Their Decisions? Prepared by: Programmer Sara Saadoun Abbas Al-Mustaqbal Center for Artificial Intelligence Applications – Al-Mustaqbal University Introduction Artificial Intelligence (AI) has triggered a significant transformation across various sectors, from healthcare to security, and from education to financial services. However, as the use of deep learning algorithms and complex models expands, a new problem has emerged: the opacity of AI decisions. End-users—and sometimes even developers—often do not understand how or why an AI system made a specific decision. This has led to the emergence of a crucial new field: Explainable Artificial Intelligence (XAI), which seeks to make machine behavior more transparent and understandable to humans. Definition of Explainable AI Explainable AI refers to a collection of methods and techniques designed to clarify how intelligent models reach their results or decisions, in a way that is comprehensible to humans. Explanation techniques may focus on the model as a whole (model-wide explanation) or on specific decisions (local explanation). This field is particularly vital in systems that deal with sensitive decisions such as: Disease diagnosis Loan approvals or rejections Criminal record assessments A lack of interpretability in these domains could lead to loss of trust or even legal accountability. Key Techniques in Explainable AI Some of the most commonly used tools and methods in this field include: LIME (Local Interpretable Model-agnostic Explanations): This technique approximates a complex model with a simpler, interpretable one around a specific prediction to provide localized explanation. SHAP (SHapley Additive exPlanations): Based on game theory, SHAP distributes the "importance" of each feature that contributed to the final decision of the model. Attention Visualization: Commonly used in neural networks, this approach highlights which parts of the input data the model focused on during decision-making. Ethical and Legal Challenges Explainable AI faces several ethical and legal challenges, including: Trade-off between interpretability and accuracy: Simpler models are often more interpretable but may lack the predictive power of complex models. Risk of manipulation: Explanations can be used deceptively to justify unfair or biased models. Privacy concerns: Some interpretability methods may unintentionally reveal sensitive data. These challenges are closely linked to sustainable development goals, particularly Goal 16 (Peace, Justice, and Strong Institutions), where explainable AI contributes to digital justice and transparency. Real-World Applications Many institutions have begun integrating XAI techniques into their systems, including: Using SHAP to validate recommendations in medical diagnostics. Applying LIME in financial institutions to justify credit decisions. Implementing interpretability tools in crime classification systems to avoid racial or social bias. Conclusion Explainable AI is no longer a luxury or theoretical concept—it has become a practical and ethical necessity. In the near future, it will not be acceptable to deploy AI systems that cannot be understood, especially in areas that affect human rights and lives. With ongoing research, we are approaching a future where intelligent systems not only make accurate decisions but also explain them, promoting trust, accountability, and human-machine collaboration. Al-Mustaqbal University – The Top Private University in Iraq