News

In a new scientific achievement that reflects the research excellence of Al-Mustaqbal University, Professor Dr. Mahdi Abadi Manaa, Director of the Al-Mustaqbal Center for Artificial Intelligence Applications, in collaboration with Ammar Abdulhadi Abdullah, has published a book chapter entitled: "A Hybrid MADRL Model for Task Scheduling in 5G Cloud Radio Access Networks." The chapter appears in the proceedings of the Third International Conference on Innovations of Intelligent Informatics, Networking, and Cybersecurity (3INC 2025), published by Springer Nature as part of the prestigious Communications in Computer and Information Science (CCIS), Volume 2960 book series. The chapter presents a hybrid Multi-Agent Deep Reinforcement Learning (MADRL) model for task scheduling in 5G Cloud Radio Access Networks (C-RAN). The proposed approach aims to optimize computational resource allocation, reduce latency, and improve the performance of next-generation communication systems supporting smart cities, the Internet of Things (IoT), and other intelligent applications. This work is among only 15 full papers selected through a rigorous peer-review process from 58 submitted manuscripts for the 3INC 2025 conference, held in Babylon, Iraq, on December 15–16, 2025, highlighting the quality and significance of the research. This accomplishment reflects Professor Dr. Mahdi Abadi Manaa's distinguished research contributions and further strengthens Al-Mustaqbal University's international academic reputation. It also demonstrates the vital role of the Al-Mustaqbal Center for Artificial Intelligence Applications in advancing innovative research in artificial intelligence, intelligent networking, and next-generation communication technologies.