Nikolay Khabarov

Biography

Nikolay Khabarov joined the Ecosystems Services and Management Program (ESM) at IIASA (formerly the Forestry Program) in January 2007, as a Research Scholar 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, economics of adaptation, disasters, assessment of climate change impacts and adaptation options, estimation of the value of information, modeling of carbon market and regulatory risks and their reduction through innovative financial tools. Dr. Khabarov’s expertise is in mathematical modeling and optimization under uncertainty with a rich set of applications including natural disasters (e.g. forest fires and related GHG emissions) and risk-optimal portfolios (e.g. technological portfolios for power generation). With his technical skills, Dr. Khabarov is concentrating on improving the methods, tools, and technologies used by IIASA for large-scale 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.

Research Interest

His research interest focus on crop growth modeling, economics of adaptation, disasters, assessment of climate change impacts and adaptation options, estimation of the value of information, modeling of carbon market and regulatory risks and their reduction through innovative financial tools.