Amirhosein MOSAVI, PhD in Applied Informatics and Data Science (Iran)

Amirhosein holds a PhD in applied informatics and data science and is currently as a postdoctoral researcher at Bauhaus-Universität Weimar, Germany. He has a keen interest in developing predictive decision models to anticipate the outcome of sustainable policies whilst eliminating simulation costs.

Current position: Research Fellow at Queensland University of Technology, Australia

Research focus: Predictive decision models for sustainable development

His further research interests include urban informatics, sustainable cities, and multi criteria decision analysis.

In 2015 Amirhosein won the Green Talents competition. After his participation in the programme, he was involved in thesis supervision at the Cologne University of Applied Sciences, Germany. He also conducted joint research projects at the University of Bayreuth and Leuphana University and worked as a consultant for Continental. In 2017 he took part in a joint EU project of Bauhaus University of Weimar and Norwegian University of Science and Technology.

2019 Appointed as "Senior Policy Advisor, National Climate Change Office, Iran's Department of the Environment, Tehran, Iran"
2018 Received Australian Endeavour Fellowship Award and Fellowship Award of iASK
2018 Alain Bensoussan Fellowship Award
2017 Received UNESCO Young Scientists Award
2016 Assistant Professor at Obuda University, Hungary
2015 Visiting Researcher University of Graz, Austria
2014 Visiting Researcher University of Oslo, Norway
2013 Visiting Researcher Tallinn University of Technology, Estonia
2011 Visiting Researcher University of Jyvaskyla, Finland
2010 Visiting Researcher University of British Columbia, Canada

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


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, Amirhosein’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. Amirhosein’s development of Predictive Decision Models offers such a possibility which, in turn, can alter and inform the decisions of policy makers.

Amirhosein 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. Amirhosein’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.

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