Nikolay Khabarov
Senior Research Scholar
Exploratory Modeling of Human-natural Systems Research Group
Advancing Systems Analysis Program
Biography
Nikolay Khabarov joined IIASA as a research scholar in January 2007, to strengthen the team in charge of quantifying the benefits of improved Earth observations. Since then, Dr. Khabarov has been a principal investigator and contributor to a range of IIASA research projects with a particular focus on crop growth modeling, natural disasters (e.g. forest fires), assessment of climate change impacts and adaptation options, economics of adaptation, estimation of the value of information including environmental aspects, risk-optimal portfolios (e.g. technological portfolios for power generation), modeling carbon risk reduction through innovative financial tools, asset-level economic modeling and optimal land allocation for agricultural production.Dr. Khabarov’s expertise is in mathematical modeling, programming, and optimization under uncertainty. With his technical skills, Dr. Khabarov is contributing to improving the methods, tools, and technologies used by IIASA for biophysical and economic modeling at regional and global scales.
In the course of his professional activities prior to joining IIASA, Dr. Khabarov gained extensive business experience while working for private companies covering a range of industries including news and media, financial services and investment banking, legal services, marketing and trading, and information technologies.
Dr. Khabarov studied applied mathematics at the Moscow State University, Faculty of Computational Mathematics and Cybernetics, and received his Master of Science degree in 1998 and his PhD in mathematics in 2004. In his PhD thesis, Dr. Khabarov developed new efficient methods providing global fast convergence to a solution of an optimal control problem.
Dr. Khabarov has been involved in over 20 international research projects including Global Earth Observation - Benefit Estimation: Now, Next and Emerging, (GEO-BENE), Methodology for Effective Decision-making on Impacts and Adaptation (MEDIATION), the Agricultural Model Intercomparison and Improvement project (AgMIP/GGCMI), and the Economics of Climate Change Adaptation project (econadapt.eu).
Dr. Khabarov is an author of more than 100 scientific publications including book chapters and reports.
Last update: 16 FEB 2021
Publications
Kraxner, F., Nordstrom, E.-M., Obersteiner, M. , Havlik, P. , Gusti, M., Kindermann, G. , Fuss, S., & Khabarov, N. (2012). Global Feedstock Scenarios for Bioenergy - Land-Use Change and Trade-Offs. Paper submitted to IEW 2012, the 31st edition of the International Energy Workshop, 19-21 June 2012, University of Cape Town, South Africa
McCallum, I. , Fritz, S. , Khabarov, N. , Fuss, S., Szolgayova, J., Rydzak, F., Havlik, P. , Kraxner, F., Obersteiner, M. , Aoki, K., Schill, C., Quinten, M., Heumesser, C., Bouma, J., Reyers, B., Schneider, U., Pignatelli, F., Pavanello, L., Borzacchiello, M.T., Craglia, M., & Albrecht, F. (2012). Identifying And Quantifying The Benefits Of GEOSS. In: Worlds Within Reach: From Science To Policy - IIASA 40th Anniversary Conference, 24-26 October 2012, Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria.
van der Velde, M., See, L. , You, L., Balkovič, J. , Fritz, S. , Khabarov, N. , Obersteiner, M. , & Wood, S. (2012). Overcoming soil productivity constraints as evidenced by historic FAO crop trials to improve food security in Africa, Latin America and SE Asia. In: Worlds Within Reach: From Science To Policy - IIASA 40th Anniversary Conference, 24-26 October 2012, Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria.
Khabarov, N. , Huggel, C., Obersteiner, M. , & Ramirez, J.M. (2011). Adaptation capacity of a landslide early warning system to climate change: Numerical modeling for the Combeima region in Colombia. Journal of Integrated Disaster Risk Management 1 (2) 10.5595/idrim.2011.0019.
Moltchanova, E., Khabarov, N. , Obersteiner, M. , Ehrlich, D., & Moula, M. (2011). The value of rapid damage assessment for efficient earthquake response. Safety Science 49 (8) 1164-1171. 10.1016/j.ssci.2011.03.008.