Andrey Krasovskiy
Senior Research Scholar
Agriculture, Forestry, and Ecosystem Services Research Group
Biodiversity and Natural Resources Program
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Biography
Andrey Krasovskiy is a versatile mathematical modeler with expertise in simulations, control problems, and optimization, applied across different ecosystems and multiple spheres, including economics, technology, and social sciences. His research covers land use and forest modeling, with a specific focus on wildland fires across Europe, Eurasia (including Russia), Asia (including Indonesia), the Boreal zone, and globally.Krasovskiy’s journey at IIASA began with the prestigious Mikhalevich Award in 2006. He transitioned to the former Ecosystems Services and Management Program in 2012 and currently leads the FLAM team within the Agriculture, Forestry, and Ecosystem Services Research Group, making significant contributions to the Biodiversity and Natural Resources Program.
As the primary developer of the Wildfire climate impacts and adaptation model (FLAM), a mechanistic fire model integrated into the IIASA biophysical model cluster, he plays a pivotal role in assessing and projecting burned areas and fire adaptation strategies in the context of climate change. His research interests also extend to dynamic optimization of economic growth and investment models, the evaluation of REDD-based offsets with financial benefit-sharing mechanisms, wildlife population modeling, permanence modeling, and the optimization of election policies within age-structured societies.
Last update: 18 SEP 2023
Publications
Krasovskiy, A. & Platov, A. (2020). Application of Discrete-Time Optimal Control to Forest Management Problems. In: Stability, Control and Differential Games. pp. 27-37 Cham, Switzerland: Springer. ISBN 978-3-030-42831-0 10.1007/978-3-030-42831-0_3.
Rovenskaya, E. , Aghababaei Samani, K., Baklanov, A. , Ermolieva, T., Folberth, C. , Fritz, S. , Hadi, H., Javalera Rincón, V. , Krasovskii, A. , Laurien, F. , Poblete Cazenave, M., Schinko, T. , Smilovic, M. , & Zebrowski, P. (2019). Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century. IIASA Working Paper. Laxenburg, Austria: WP-19-010
Krasovskii, A. , Hu, X., Yowargana, P., Schepaschenko, D. , & Hofhansl, F. (2019). Modeling wildfire dynamics using FLAM coupled with deep learning methods. In: AGU Fall Meeting, 9-13 December 2019, San Francisco, USA.
Krasovskii, A. , Khabarov, N. , Lubowski, R., & Obersteiner, M. (2019). Flexible Options for Greenhouse Gas-Emitting Energy Producer. Energies 12 (19) e3792. 10.3390/en12193792.
Khabarov, N. , Lubowski, R., Krasovskii, A. , & Obersteiner, M. (2019). Flobsion—Flexible Option with Benefit Sharing. International Journal of Financial Studies 7 (2) p. 22. 10.3390/ijfs7020022.