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Mikhail Smilovic joined the Water Program (WAT) at IIASA as a Research Scholar in March 2018, to work on the Sustainable Urbanisation Global Initiative in terms of modeling the food-water-energy nexus, as well as to further develop the Community Water Model (CWatM).
Dr. Smilovic is interested in the resiliency of agricultural systems. He uses simulations to support decision making by highlighting decision paths that may lead to significant impacts, both favorable and damaging. Trained as a mathematician, scientist, and facilitator, he invented a methodology called Crop Kites to evaluate the potential of optimizing irrigation, as well as to determine live irrigation scheduling to maximize the amount of crop grown per drop of water – to grow more food with less water.
An active member of the Canadian water sphere, Dr. Smilovic has hosted several workshops, events, and lectures on themes of sustainability, leadership, engineering, and urban resiliency. He is an NSERC Postdoctoral fellow and was awarded Top 30 under 30 in Sustainability in Canada for 2017.
Last update: 21-MAR-2018
Rovenskaya E, Baklanov A ORCID: https://orcid.org/0000-0003-1599-3618, Ermolieva T, Folberth C ORCID: https://orcid.org/0000-0002-6738-5238, Fritz S, Hadi H, Javalera Rincón V ORCID: https://orcid.org/0000-0001-8743-9777, Krasovskii A ORCID: https://orcid.org/0000-0003-0940-9366, et al. (2019). Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-19-010
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