On November 7, the results announcement event of the 2026 MAZU Global Intelligence Innovation Application Challenge was held in Shanghai. Amid competing teams from nearly 30 countries and regions, our university’s Chinese foreign student team stood out with its projectR&D of MAZU Multi Hazard Early Warning Agent Algorithm for Saudi Arabia. The team was honoured with theGlobal Innovation Partners Award and received the trophy presented by the China Meteorological Administration.
Figure 1 Scene of the Results Announcement Event
Aligned with the core positioning of “multi hazard, early warning, zero gap and inclusive services” for the MAZU early warning system series developed by the China Meteorological Administration, this project is jointly completed by our university’s artificial intelligence team and the International User Service Center of the National Satellite Meteorological Center. Targeting high frequency and high impact meteorological hazards under Saudi Arabia’s tropical desert climate, including sudden rainstorms, extreme high temperatures and droughts, the team has developed a lightweight, intelligent multi hazard early warning agent algorithm that can be embedded into the MAZU system for localised application, facilitating the global outreach of China’s intelligent early warning technologies.
In terms of technical approaches, drawing on multi source meteorological datasets such as global atmospheric reanalysis data, in situ surface observations, sea surface temperature records and satellite cloud images, the team innovatively integrates large language models with meteorological knowledge graphs. This empowers the agent with capabilities for multi modal meteorological data interpretation and logical reasoning, greatly improving the accuracy and adaptability of the early warning model for Saudi Arabia’s unique geographical and climatic conditions. The project delivers a rapidly deployable and iterable technical prototype for intelligent early warning. It not only meets the modular embedding requirements of the MAZU system, but also provides practical early warning services for Saudi Arabia’s meteorological, emergency response, agricultural, port shipping and other sectors, boasting sound value for practical implementation and commercial promotion potential.
Figure 2 The “Global Innovation Partners” Trophy Awarded to the Team
Notably, this competing team represents genuine cross border collaboration. Led by Li Ruirui, the six member group includes Turgut Sofuyev, an Azerbaijani undergraduate, Dari Abdullah Alrwoaily, a Saudi postgraduate from our university, alongside chief expert Zhang Yan, Tian Lin and Li Ruolin from the National Satellite Meteorological Center. Boasting diverse majors and cultural backgrounds, team members engaged in well organised work and complementary strengths throughout research and development. Their achievement demonstrates the quality of international student training and research capacity at our university, embodies the international vision of the university’s open door education philosophy, and serves as a vivid practice of our talent training model that “promotes learning and innovation through competitions”.
This award marks a major milestone for our university in international meteorological technology cooperation and innovative application. Going forward, the team will further advance R&D and localised adaptation of the agent algorithm, promote the implementation of project outcomes in Belt and Road partner countries, and contribute youthful strength to China’s strategy for exporting meteorological technologies and services as well as global disaster risk reduction.
Figure 3 Promotional material for the Results Announcement Event of the 2026 MAZU Global Intelligence Innovation Application Challenge
Reviewed by: Li Ruirui, Jiang Shichao, Li Qifang
