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Centre for Mathematical Modelling, FLAME The aim of the centre is to promote teaching and research in applied
mathematical sciences, including the social sciences, with particular
emphasis on practicality combined with academic interest. The focus
will be on cross-fertilisation and adaptation of ideas and techniques
culled from various disciplines such as Mathematics, Statistics,
Theoretical Physics and Computational Sciences for the solution of
problems in various fields of academic endeavor and industrial
relevance. The scope of its research interests is diverse and will
confront challenges in various areas of Theoretical Physics, Applied
Mathematics, Modelling and Simulation of real world problems arising
in the industry and academics, Computational Biology, Geophysics,
Mathematical/Quantitative Finance, Economics and in other social
sciences in which the importance of mathematical modelling is
increasingly being recognized and appreciated. In the coming years, it plans to undertake both long-term and short-term research and consultancy projects on theoretical exploration and mathematical modelling of various systems and processes arising in natural, applied and social sciences, including finance. In addition, it will be co-ordinating /supporting the activities such as Meetings/Conferences, Lecture Series, and build academic relationships with other institutions. |
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Centre for Mathematical Modelling
The aim of the centre is to promote teaching and research in applied
mathematical sciences, including the social sciences, with particular
emphasis on practicality combined with academic interest. The focus
will be on cross-fertilisation and adaptation of ideas and techniques
culled from various disciplines such as Mathematics, Statistics,
Theoretical Physics and Computational Sciences for the solution of
problems in various fields of academic endeavor and industrial
relevance. The scope of its research interests is diverse and will
confront challenges in various areas of Theoretical Physics, Applied
Mathematics, Modelling and Simulation of real world problems arising
in the industry and academics, Computational Biology, Geophysics,
Mathematical/Quantitative Finance, Economics and in other social
sciences in which the importance of mathematical modelling is
increasingly being recognized and appreciated. 