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Yurii Nesterov教授在大会颁奖现场
高斯奖（Carl Friedrich Gauss Prize）是全球应用数学领域的荣誉，与菲尔兹奖、陈省身奖等同为国际数学界的学术奖项。该奖项由国际数学联盟（IMU）与德国数学学会（DMV）联合创设，作为国际数学家大会（ICM）重磅核心奖项，代表着全球应用数学领域的学术与行业认可。
国际数学家大会授予Yurii Nesterov教授的颁奖词
高斯奖于2006年在国际数学家大会上首次颁发。区别于聚焦纯理论研究的数学奖项，高斯奖侧重表彰数学成果的落地应用与社会实效，致敬那些依托前沿数学理论，在前沿技术研发、产业商业创新、民生生活改善等领域作出突破性、开创性贡献的科研工作者。历届获奖者均是引领应用数学学科发展、赋能全社会科技创新的杰出学者。
值得一提的是，因其在凸优化理论方面的奠基性贡献及其对现代机器学习的深远影响，Yurii Nesterov教授在今年年初荣获了美国国家人工智能科学院（National Academy of Artificial Intelligence，NAAI）2026年度 NAAI Academy Award（NAAI学院奖）。该奖项是美国国家人工智能科学院设立的荣誉奖项，旨在表彰对人工智能理论体系与核心科学问题作出历史性贡献的杰出科学家。
NESTEROV, Yurii
教授
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香港中文大学（深圳）数据科学学院教授
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深圳河套学院人工智能理论及系统中心教授
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美国国家科学院外籍院士
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比利时法语鲁汶大学运筹学与计量经济学中心荣休教授
研究领域：
非线性优化理论与方法、运筹学模型、优化在机器学习与人工智能中的应用
个人简介：
Yurii Nesterov教授是美国国家科学院外籍院士、欧洲科学院院士、黑山科学院外籍院士。他于1977年至1992年间在莫斯科中央经济与数学研究所拥有研究职位，并于1993年到2023年期间在比利时法语鲁汶大学运筹学与计量经济学中心担任教授。
他的研究兴趣涉及复杂性问题和解决各种优化问题的有效方法，主要成果分布在凸优化的不同领域：平滑问题的优化方法、多项式时间内点方法、结构优化的平滑技术、二阶方法的复杂性理论、大规模问题的优化方法、可实现张量方法。
Nesterov加速方法彻底改变了优化理论，它证明了仅利用梯度信息的一阶算法，也能够比经典梯度下降法实现显著更快的收敛速度。他提出的算法首次达到了光滑凸优化问题的一阶方法所能实现的理论最优收敛速度，成为优化理论发展史上的一个里程碑。这一思想奠定了众多现代优化算法的基础，广泛应用于机器学习、信号处理以及大规模数据分析等领域。如今，Nesterov加速已被TensorFlow和PyTorch等主流深度学习框架广泛采用，用于训练大规模神经网络，并已成为世界各地优化课程的核心教学内容。自问世四十余年来，它始终被公认为数学优化领域影响力和代表性的重大突破之一。
国际数学家大会(ICM)
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Professor Yurii Nesterov of CUHK-Shenzhen Receives 2026 Gauss Prize
Professor Yurii Nesterov at the Award Ceremony
The Carl Friedrich Gauss Prize stands as the highest honor in the field of applied mathematics. Ranking alongside the Fields Medal and the Chern Medal, it is recognized as one of the most prestigious academic awards in the global mathematics community. Jointly established by the International Mathematical Union (IMU) and the German Mathematical Society (DMV), this flagship award is presented at the International Congress of Mathematicians (ICM), representing the pinnacle of academic authority and professional recognition in worldwide applied mathematics research.
Award Citation for Professor Yurii Nesterov at the ICM
The prize was first conferred at the 2006 International Congress of Mathematicians. Unlike other mathematics awards that focus primarily on pure theoretical research, the Gauss Prize specifically honors outstanding scholars for the practical implementation and societal impact of their mathematical achievements. It recognizes researchers who leverage cutting-edge mathematical theories to deliver groundbreaking and transformative contributions to advanced technological development, industrial and commercial innovation, and improvements in public well-being. All past laureates are distinguished academics who lead the advancement of applied mathematics and drive scientific and technological innovation across society.
Notably, earlier this year, Professor Yurii Nesterov was awarded the 2026 NAAI Academy Award by the National Academy of Artificial Intelligence (NAAI) in recognition of his foundational contributions to convex optimization theory and its profound impact on modern machine learning. The NAAI Academy Award represents the highest honor of the National Academy of Artificial Intelligence. It recognizes scientists whose work has reshaped the intellectual foundations of artificial intelligence.
NESTEROV, Yurii
Professor
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Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen
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Professor of Center for AI Theoretical Foundation and Systems，Shenzhen Loop Area Institute
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International Member of the National Academy of Sciences
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Emeritus Professor, Center for Operations Research and Econometrics (CORE), Université catholique de Louvain (UCLouvain), Belgium
