Shenzhen-based AI mathematician Yurii Nesterov wins top prize in applied maths

Russian-born Belgian mathematician Yurii Nesterov, the "master of international algorithm design," has been recognized with the prestigious Carl Friedrich Gauss Prize for his groundbreaking work in applied mathematics. This award, which celebrates the practical application and social impact of mathematical achievements, comes after Nesterov's 1983 discovery of the accelerated gradient method, a foundation for modern machine learning and optimisation algorithms.

Now 70, Nesterov has recently taken on a full-time role as a professor in Shenzhen, China, at the Chinese University of Hong Kong-Shenzhen and the Shenzhen Loop Area Institute, joining the academic world in a tech hub. Nesterov's algorithm represents the theoretical ceiling for first-order algorithms, with no similar algorithm capable of surpassing it in speed.

This recognition comes as China continues to foster a dynamic atmosphere for innovation and technology, aligning perfectly with the ambitions of a young population. Nesterov, who earned his master's degree from Moscow State University, spent over 30 years at the Centre for Operations Research and Econometrics at the Catholic University of Leuven before retiring in Belgium in 2023.

His contributions to the field of optimisation theory, including his co-development of the interior-point method for convex optimisation in 1994, have shaped modern AI engineering constraint optimisation, marking a significant moment in the intersection of artificial intelligence, mathematics, and computer science.