AD Ports Group has entered into a multi-year strategic partnership and research collaboration with NYU Abu Dhabi to develop a high-fidelity intelligence engine aimed at transforming port operations through advanced analytics and predictive modeling.
The initiative will focus on building and piloting an intelligent decision-support system powered by stochastic models and spatial intelligence.
Designed to assist human operators, the engine will integrate vessel arrival time predictions, berth allocation optimization, and environmental impact analysis to enable more precise and efficient port management.
The proposed intelligence engine is expected to reduce uncertainty in port calls and enhance operational fluidity, enabling ports to unlock additional capacity without the need for physical expansion.
By improving coordination between vessel arrivals and berth allocation, the system can significantly reduce idle time, optimize resource utilization, and lower fuel consumption.
This approach not only improves operational efficiency but also supports sustainability goals by minimizing emissions and promoting greener port operations.
The integration of environmental considerations into decision-making marks a key step toward more responsible and data-driven logistics management.
Mohamed Jamal-Eddine, Group Chief Digital and Information Officer at AD Ports Group, said that, “As we continue to reimagine logistics ecosystems to advance the frontiers of global trade, pioneering research and strategic partnerships remain key pillars of our digitally led approach. By integrating our deep expertise in port operations and trade facilitation with advanced predictive arrival intelligence and resilient operational modeling, we are accelerating the pace towards a future of autonomous decision support.”
Arlie Peters, Provost – NYU Abu Dhabi, noted that, “Our collaboration with AD Ports Group brings together academic expertise and practical insight to strengthen the efficiency, resilience, and sustainability of modern logistics. By connecting research with application, we aim to support the UAE’s continued role as a global hub for logistics. Led by Professor Ali Diabat from Civil and Urban Engineering, this work develops data-driven approaches to support better decision-making and improve long-term performance across port and logistics operations.”
Pilot deployment and global scaling
As part of the agreement, AD Ports Group will provide secure access to operational data and facilitate pilot deployments across selected terminals and trade lanes.
The objective is to test and refine the intelligence engine in real-world conditions before scaling successful outcomes across the Group’s global network.
The initiative is expected to enhance transparency in terminal decarbonization efforts while improving long-term operational performance.
