Sergey Aseev profile picture

Sergey Aseev

Guest Research Scholar

Exploratory Modeling of Human-natural Systems Research Group

Advancing Systems Analysis Program

Biography

Sergey M. Aseev was a participant in the 1986 Young Scientists Summer Program. He returned to IIASA in January 2001 to join the Dynamic Systems Project. He is currently affiliated with the Exploratory Modeling of Human-Natural Systems (EM) Research Group in the IIASA Advancing Systems Analysis (ASA) Program. He works in the field of mathematical theory of optimal control. His current research focuses on optimal control problems arising in economics.

Aseev graduated from the Faculty of Applied Mathematics and Cybernetics, Moscow State University in 1980. In 1983, he defended his PhD thesis and began his affiliation with the Steklov Mathematical Institute of the Russian Academy of Sciences. In 1998, he received his Doctorate in Physics and Mathematics from the Steklov Institute, and in 2008, he became a corresponding member of the Russian Academy of Sciences. He is currently a Chief Research Scholar at the Steklov Institute.



Last update: 22 DEC 2021

Publications

Aseev, S.M. & Katsumoto, M. (2005). Leader-leader Stochastic Innovation Race: Preliminary Results and Numerical Simulations. 7th IIASA-TITech Technical Meeting, September 2005, Laxenburg, Austria

Katsumoto, M. & Aseev, S.M. (2005). A Modeling Analysis of Business Strategies in the Innovative Industry. 20th Conference of Japan Society for Science Policy and Research Management, National Graduate Institute for Policy Studies, 22-23 October 2005, Tokyo, Japan

Katsumoto, M. & Aseev, S.M. (2005). A Modeling Approach to Innovation Race: Industrial Dynamics and Optimization Theory. Spring IIASA Methodology Workshop, 3 May 2005, Laxenburg, Austria

Aseev, S.M. (2005). Optimal Control and Dynamic Models in Biology. IIASA DYN-NEA Biologizing Control Theory Workshop, 19-20 December 2005, Laxenburg, Austria

Aseev, S.M. & Kryazhimskiy, A.V. (2005). The Pontryagin Maximum Principle and Transversality Conditions for a Class of Optimal Control Problems with Infinite Time Horizons. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RP-05-003. Reprinted from SIAM Journal on Control and Optimization, 43(3):1094-1119 [2004].