Dr Amir MOSAVI (Iran)

Amir believes in the extensive potential of Predictive Models. From simulating the extreme events to informing policy analysis to generating hazard maps, these models eliminate much of the simulation costs as well as trial and error in the crucial task facing sustainable developments.

PhD in Applied Informatics and Data Science

Current position: Research Fellow at Thuringian Institute of Sustainability, Research Fellow at Bauhaus-Universität Weimar, Germany and Assistant Professor at School of the Built Environment, Oxford Brookes University, United Kingdom

Research focus: climate change and extreme events modelling

Amir’s technological advancement aims at providing effective tools to organisations to predict and visualise the results and consequences of their decisions. So better policies are made and more sustainable actions are taken. Amir’s further research interests include hydrological and earth systems modelling, machine learning, deep learning, atmospheric science, hazard modelling, climate models, and time series prediction.

2019 Appointed as "Senior Policy Advisor, National Climate Change Office, Iran's Department of the Environment, Tehran, Iran"
2019 Alexander von Humboldt Fellowship Award
2018 Georgia Institute of Technology Research Award

2018 Australian Endeavour Fellowship Award
2018 Alain Bensoussan Fellowship Award
2017 UNESCO Young Scientists Award


CV as submitted for the Green Talents award (2015):

Institute of System Sciences, Innovation and Sustainability Research, Austria and Institute of Mechatronics and Vehicle Engineering, Obuda University, Hungary

Research focus: developing predictive decision models

As a Postdoctoral researcher at the University of Graz, the youngest assistant professor at Obuda University, and visiting lecturer at Budapest Business School, Amir’s work in Urban Informatics and Sustainability is offering valuable insights into the process of sustainable urban development.

In order to be able to develop effective sustainable urban environments, it is important to be able to anticipate the outcomes of sustainable policies. Amir’s development of Predictive Decision Models offers such a possibility which, in turn, can alter and inform the decisions of policy makers.

Amir believes in the extensive potential of Predictive Models. From simulating the conceptual designs of urban transport to informing policy analysis to generating a model for the more eco-friendly designs, these models eliminate much of the simulation costs as well as trial and error in the crucial task facing sustainable developments. Amir’s technological advancement aims at providing effective tools to organisations to predict and visualise the results and consequences of their decisions. So better policies are made and more sustainable actions are taken.

Amir leads young researchers and graduate students at the Obuda University lab for Urban Informatics and Sustainability Research, at the Institute of Mechatronics and Vehicle Engineering. Amir sees part of his role as fostering the creativity of younger scientists. As he states, his previous international scholarly research stays and collaborations with University of British Columbia, Simon Fraser University, University of Oslo, University of Jyvaskyla, University of Trento, and Tallinn University of Technology have strengthened his research management skills as well as his leadership ability. In addition to that his time in Germany has permitted him to be in contact with committed scientists and share their knowledge in the field of sustainable development.

The jury was enthusiastic about the unique nature of Amir’s research focus and his drive to implement it under practical scenarios, offering valuable improvements for real sustainable projects.