Iranian Scientist Amirhosein Mosavi Receives 2017 Young Scientists Award
Source: Mehr News Agency
The International Coordinating Council of the UNESCO's Man and the Biosphere (MAB) Programme has named Amirhosein Mosavi as one recipient of the 2017 Young Scientists Awards.
The
MAB Program has been granting awards of up to $5,000 each since 1989 to
encourage young researchers to undertake work on ecosystems, natural resources
and biodiversity. This prestigious award goes to 4-7 young scientists every
year. Seven young scientists are to receive the 2017 UNESCO MAB Young Scientists
Awards one being Amirhosein Mosavi of Iran who resides in Hungary.
Dr. Mosavi wins the UNESCO Young Scientists Award on his research on
sustainability in the field of 'monitoring and assessing sustainability in
Biosphere Reserves utilizing sustainable business models'.
In addition to UNESCO Young Scientists Award, this year Dr. Mosavi also received
the Future Talent Award of TU-Darmstadt, Go Styria Award from University of
Graz, and a Research Fellowship Award from Bauhaus-Universitat Weimar, where he
reasoned that humanity requires accurate prediction-decision tools to reduce the
climate change impacts.
As an expert in both data science and decision science, he consulted world's
largest companies with advancement of their prediction and decision models to
anticipate the consequences of the potential actions in order to make better
decision in an automated manner for sustainable development.
Dr. Mosavi is involved in active contribution on developing techniques for
generating predictive models that promotes sustainable development. "With the
aid of data sciences, the past events are to be analyzed in order to provide the
vision about our future decisions and actions. With the aid of predictive
models, we will be able to study the potential effects of our behavior," he
says.
This would indeed provide the ability to develop and grow in a more sustainable
direction. Dr. Mosavi coins the term 'predictive-decision model' what he
believes in its extensive potential for transforming latest discoveries into a
major innovation in decision science and prediction. He believes in the
potential of artificial intelligence technologies of Big data, machine learning,
the Internet of Things (IoT), and deep learning to discover the greener ways of
living.
... Payvand News - 06/26/17 ... --
