Ph.D. Institute of Control Problems, Moscow (1980-1984)

M.S. Lomonosov Moscow State University (1972-1977)

Prof. Yurii Nesterov is an International Member of the National Academy of Sciences (NAS), a Member of Academiae Europaeae, and a Foreign Member of the Montenegrin Academy of Science. He held a research position at the Central Economic and Mathematical Institute in Moscow from 1977 to 1992, and served as a professor at the Center for Operations Research and Econometrics (CORE) at the Catholic University of Louvain (UCL), Belgium, from 1993 to 2023. He was awarded the Carl Friedrich Gauss Prize in 2026, the highest honor in the field of applied mathematics worldwide.

His research interests are related to complexity issues and efficient methods for solving various optimization problems. The main results are obtained in different areas of Convex Optimization: optimal methods for smooth problems, polynomial-time interior-point methods, smoothing technique for structural optimization, complexity theory for second-order methods, optimization methods for huge-scale problems, implementable tensor methods.

Books (example):

Yurii Nesterov. Lectures on Convex Optimization. Springer (2018), 589pp. Winner of Lanchester Prize 2022 (INFORMS). Translated to Chinese.

Articles (examples):

1. Yurii Nesterov. Efficiency of coordinate-descent methods on huge-scale optimization problems. SIOPT, 22(2), 341-362 (2012). Winner of SIAM Best Paper Award 2014.

2.Yurii Nesterov. Rounding of convex sets and efficient gradient methods for linear programming problems. Optimization Methods and Software, 23(1), 109-128 (2009). Winner of Charles Broyden Award 2009 for the best paper in the journal.