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Dans and Emirates Aviation University Partner on AI Air Traffic Management Research

Dans and Emirates Aviation University Collaborate on AI-Driven Air Traffic Management Research
Dubai Air Navigation Services (dans) and Emirates Aviation University (EAU) have formalized a significant research partnership aimed at advancing artificial intelligence (AI) applications within air traffic management. The agreement, signed at the Dubai Airshow 2025, seeks to develop innovative AI-driven concepts and prototypes designed to address the evolving challenges faced by the aviation industry.
This collaboration supports the recently launched “Aviation Talent 33” initiative by the Executive Council of Dubai, which focuses on empowering UAE-based talent by integrating specialized education with cutting-edge technological innovation. The partnership will concentrate on creating a range of intelligent systems, including an AI-based delay predictor, a four-dimensional trajectory deviation analyser, a sector congestion predictor, an agent-based Ground Delay Programme (GDP) recommender, and an explainable AI (XAI) dashboard.
The research projects will engage academics, research scientists, and both PhD and undergraduate students specializing in aviation and data science. The overarching objective is to enhance operational planning efficiency and increase airspace flexibility, thereby reinforcing Dubai’s status as a forward-looking global aviation hub.
Strategic Importance and Academic Contributions
H.E. Ibrahim Ahli, CEO of Dubai Air Navigation Services, underscored the strategic value of the partnership, stating that the collaboration strengthens efforts to develop innovative AI-driven solutions while expanding national capabilities in advanced air traffic management. By combining dans’ operational expertise with Emirates Aviation University’s research environment, the initiative aims to equip emerging talent with the technical and scientific skills necessary to shape the future of the sector.
Dr. Ahmad Al Ali, Vice Chancellor of Emirates Aviation University, emphasized the academic benefits of the partnership. He noted that the collaboration empowers researchers and students to develop practical AI applications within real-world operational contexts, preparing a new generation of specialists to lead innovation within the UAE’s aviation ecosystem.
Challenges and Industry Implications
The agreement exemplifies a progressive model of collaboration between academia and industry in the UAE, supporting national talent development and enhancing dans’ capacity to build research-driven systems. Nonetheless, integrating AI into air traffic management presents several challenges, including regulatory approval, compatibility with existing systems, and the requirement for extensive testing prior to widespread implementation.
Market responses to the partnership indicate growing interest in AI applications for air traffic management, which may stimulate further investment and encourage competitors to pursue similar collaborations or accelerate their own research and development efforts. While AI holds considerable promise for improving efficiency and safety, experts caution that it is unlikely to replace human air traffic controllers in the near term. Instead, AI is expected to function as an advanced assistant, augmenting rather than substituting the critical decision-making roles of aviation professionals.
Advancing Future-Ready Aviation
Aligned with the goals of “Aviation Talent 33,” which aims to provide over 4,000 advanced training opportunities, this partnership lays the groundwork for a new era of intelligent operations across Dubai’s airspace. It highlights Emirates Aviation University’s pivotal role in preparing qualified professionals and reaffirms Dubai’s commitment to maintaining its leadership position in the global aviation sector.

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