Dr. Kamali is a post-doctoral researcher in the Research Platform “Models & Simulation” at the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. Dr. Kamali’s general research interest is large scale agroecosystem modeling, development, and implementation of approaches for model calibration, parameter estimation, and data assimilation. She is interested to learn methods to assimilate real-time remote-sensing data into agro-ecosystem models for a more accurate prediction of agricultural productivity and improved management of agricultural systems.
Dr. Ojeda hosted Dr. Kamali in Hobart to work in a joint research project under the Australia-Germany Joint Research Co-operation Scheme. They used a combination of process-based crop models with machine-learning algorithms to explore the underlying reasons for yield variability over 18 years of irrigated maize in Andalusia, Spain. The drivers of variability were identified at different irrigation strategies, cultivated with different cultivars. The underlying factors of yield variability were measured and the possible pathways to reduce yield variabilities were investigated. They are writing two papers together which will be submitted soon.
PhD in Environmental Systems Sciences, 2017
ETHZ Zurich, Switzerland
Master of Science in Water Resource Planning and Management, 2010
Amirkabir University of Technology, Iran
Bachelor of Science in Civil Engineering, 2006
Faculty of Engineering, Urmia University, Iran