Tatiana Ermolieva
Research Scholar
Integrated Biosphere Futures Research Group
Biodiversity and Natural Resources Program
Biography
Dr. Tatiana Ermolieva is a Research Scholar with IIASA's Ecosystems Services & Management Program (ESM). She holds the Kjell Gunnarson's Risk Management Prize (Swedish Insurance Society) and an IIASA Peccei Award for her work on optimal decisions for coping with dependent catastrophic risks.Dr. Ermolieva has a master's degree in applied mathematics with specialization in statistics, optimization, and economics from Kiev State University, Ukraine, and a PhD on spatio-temporal estimation and optimization of heterogeneous values and flows in complex dynamic and stochastic systems. Her main research interests are analysis and modeling of complex socioeconomic, agricultural, environmental, and financial systems with explicit treatment of uncertainties, risks, extreme events, and spatial and temporal heterogeneities of regions and agents. She develops quantitative models and methods, including software and practical applications, for designing strategies ensuring robust system performance in the presence of uncertainties and risks, in particular of extreme catastrophic nature.
Dr. Ermolieva's activities with ESM concern GIS-based modeling and optimization of regional developments, methodologies for robust downscaling of land use (including agricultural) valuesfrom incomplete, uncertain, aggregate information; non-parametric approaches to data estimation and recovering. Recent practical studies cover topics of global food security and adaptation under climatic uncertainties and risks; fusion of downscaling within the framework of ESM's GLOBIOM model; treatment of systemic risks with a stochastic version of GLOBIOM; design of robust insurance programs (including cat bonds, contingent credits, mutual funds) against climatic disasters, e.g., floods; analysis of robust economic instruments (emission trading markets) under uncertainties; and discounting under catastrophic risks. She applies her skills in several EU projects, in collaborative research with colleagues from various IIASA programs, joint research with IIASA NMOs and other institutions.
Last update: 26 APR 2016
Publications
Wildemeersch, M. , Tang, S., Ermolieva, T., Ermoliev, Y., Rovenskaya, E. , & Obersteiner, M. (2022). Containing the Risk of Phosphorus Pollution in Agricultural Watersheds. Sustainability 14 (3) e1717. 10.3390/su14031717.
Ermoliev, Y., Zagorodny, A.G., Bogdanov, V. L., Ermolieva, T., Havlik, P. , Rovenskaya, E. , Komendantova, N. , & Obersteiner, M. (2022). Robust Food–Energy–Water–Environmental Security Management: Stochastic Quasigradient Procedure for Linkage of Distributed Optimization Models under Asymmetric Information and Uncertainty. Cybernetics and Systems Analysis 58 (1) 45-57. 10.1007/s10559-022-00434-5.
Ermolieva, T., Havlik, P. , Frank, S. , Kahil, T. , Balkovič, J. , Skalský, R. , Ermoliev, Y., Knopov, P.S., Borodina, O.M., & Gorbachuk, V.M. (2022). A Risk-Informed Decision-Making Framework for Climate Change Adaptation through Robust Land Use and Irrigation Planning. Sustainability 14 (3) p. 1430. 10.3390/su14031430.
Ermoliev, Y., Zagorodny, A.G., Bogdanov, V.L., Ermolieva, T., Havlik, P. , Rovenskaya, E. , Komendantova, N. , & Obersteiner, M. (2022). Linking Distributed Optimization Models for Food, Water, and Energy Security Nexus Management. Sustainability 14 (3) e1255. 10.3390/su14031255.
Ermoliev, Y., Komendantova, N. , & Ermolieva, T. (2021). Robust energy production and storage investments and operation planning involving variable renewable energy sources: a two-stage stochastic optimization model with stopping time and rolling time horizon. In: Mathematical Modeling, Optimization and Information Technologies, 15-18 November, 2021.