The Corvinus Center for Operations Research (CCOR), established in September 2020, is one of the member research centres of the Corvinus Institute for Advanced Studies, Corvinus University of Budapest. CCOR aims to promote the scientific quantitative approach in solving complex problems by pursuing theoretical and applied research in the domain of operations research.
The members of CCOR currently focus on researchtopics from the following main areas of Operations Research:
- DecisionTheory,
- GameTheory,
- Modelling, and
- Optimization
The members of CCOR are active in teaching and supervising graduate students at the Corvinus University of Budapest.
CIAS Research fellows at CCOR
- Immanuel Bomze, University of Vienna, 2024/2025
- Csaba Farkas, Sapientia Hungarian University of Transylvania, 2024/2025
- Goran Lesaja, Georgia Southern University, 2023/2024
- László Végh, London School of Economics and Political Science, 2023/2024
- Dávid Papp, North Carolina State University, 2023/2024
- Yurii Nesterov, University of Louvain, 2022/2023
- Tamás Terlaky, Lehigh University, 2022/2023
- Alexandru Kristály, Babeș-Bolyai University, Óbuda University, 2022/2023
- Zsolt Darvay, Babeș-Bolyai University, 2022/2023
- Sorin-Mihai Grad, ENSTA Paris / Polytechnic Institute of Paris, 2021/2022
Recent projects
- Accelerated methods for minmax and optimization problems with applications , joint research mobility project with Professor Radu I. Bot, University of Wien, Wien, Austria, September 1, 2024 – August 31, 2025, sponsored by Stiftung Aktion Österreich – Ungarn, project number: 116öu8.
- AI Next: New Paradigm in AI Transformation & Application, PI: Professor Péter Baranyi, CIAS, Corvinus University of Budapest, Budapest, Hungary, January 1, 2025 – December 31, 2026, National Research, Development and Innovation Office (NKFIH) under grant number 2024-1.2.3-HU-RIZONT-2024-00030.
- Marianna E.-Nagy won the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, 2024-2027.
- Petra Renáta Rigó is leader of the project entitled New trends in research of interior-point algorithms, National Research, Development and Innovation Office (NKFIH), PD_22 funding scheme, No. 142154, 2022-2026.
Recent works
- Y. Nesterov. Asymmetric Long-Step Primal-Dual Interior-Point Methods with Dual Centering, arXiv:2503.10155 (2025)
- 2. M. E.-Nagy, T. Illés, Yu. Nesterov, and P.R. Rigó. Parabolic Target Space Interior-Point Algorithms for Weighted Monotone Linear Complementarity Problem. Corvinus Econ. Work. Paper 4 (2024).
- 3. M. E.-Nagy, T. Illés, Yu. Nesterov, and P.R. Rigó. New Interior-Point Algorithm for Linear Optimization Based on a Universal Tangent Direction. Corvinus Econ. Work. Paper 5 (2024).
- 4. Y. Nesterov. Local and Global Convergence of Greedy Parabolic Target-Following Methods for Linear Programming, arXiv:2412.14934 (2024) .