The research and analytical center was established within the Institute of Mathematics and Computer Technologies at the Far Eastern Federal University. It undertakes a broad spectrum of tasks, from analyzing artificial intelligence regulations across Asia-Pacific nations to exploring sustainable development initiatives and building scientific collaborations with leading regional institutions. The center also contributes to creating solutions that address fundamental environmental challenges.
Typhoons remain a major concern for the Far East. A unique mathematical model powered by artificial intelligence has been developed to detect tropical cyclones from satellite imagery, assess their strength and other characteristics, and chart their paths. This breakthrough was highlighted by Sergey Budenov of Sberbank, who explained that the model can identify emerging hurricanes, measure their intensity, and monitor their trajectory in real time.
Recently, Sberbank, the Ministry of Emergencies of Russia, and the Far Eastern Federal University reached an agreement to integrate the AI-based cyclone monitoring system into the national framework for natural disaster surveillance. A representative from the Ministry of Emergencies indicated that the new system will help minimize typhoon-related risks. The center’s next objective is to improve forecast accuracy and predict the potential area of hurricane formation. The envisioned model would enable authorities to implement preventive measures in advance, issue warnings to the public, and, if needed, direct people to safer locations. Forecasts are expected to be released at least three days ahead.
A forthcoming joint project focuses on an optimization model for the Vladivostok maritime trading port. Dmitry Surovets, vice president of IT at FESCO, noted that a tripartite memorandum of understanding was signed between the FESCO transport group, Sber, and FEFU to advance digitalization and automation using artificial intelligence and machine learning to optimize port operations and other maritime infrastructure in the Far East. Surovets stated that the collaboration will streamline logistics and accelerate the port’s digital transformation. The service is designed to position containers efficiently within the port area, reducing relays and lowering operating costs while shortening logistics timelines. The finished model is projected to be ready in about eight months. There was also a suggestion from the head of Sberbank to incorporate a traffic control component into the system.
The center is also advancing projects aimed at increasing the environmental sustainability of artificial intelligence, cutting the carbon footprint associated with AI training, and developing identification systems for wildlife such as Amur tigers. Additional efforts include models for detecting river blockages and illegal dumping and tools to forecast regional weather conditions more accurately.
German Gref, president of Sberbank, commended the center’s team for their contributions and stressed the value of bringing students into its work. He recalled a directive from two years prior that urged universities to introduce programs training specialists in artificial intelligence. He emphasized that digital literacy, big data expertise, and AI fluency are essential across all future fields and could not be neglected.