Difference between revisions of "Atanu Chatterjee"

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Researcher at Indian Astrobiology Research Centre, Mumbai, India
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== Biography ==
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Atanu Chatterjee is a graduate student and a researcher in the Department of Civil and Electrical Engineering at the Indian Institute of Technology Madras, India where he studies Mathematics and Networks. As an undergraduate student he studied Mechanical Engineering where he was introduced to Thermodynamics. It was during this time he started to understand the nature in terms of the laws of thermodynamics. Soon, it became evident that in order to get a bigger clearer picture he had to evolve out of the domains of the Newtonian paradigm and focus in areas of complexity science. This motivated him immensely as an undergraduate student. Soon he started writing papers and eventually, publishing them in International Journals. He is a member of the American Physical Society. 
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== Research ==
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His areas of interest include: Complexity Science, Complex Networks, Self-organization, Social Network Analysis, Classical, Statistical and Non-equilibrium Thermodynamics, Evolutionary Biology, Probability Theory and Stochastic processes, Classical Physics and Construcal Theory.

Revision as of 12:17, 11 November 2013

Biography

Atanu Chatterjee is a graduate student and a researcher in the Department of Civil and Electrical Engineering at the Indian Institute of Technology Madras, India where he studies Mathematics and Networks. As an undergraduate student he studied Mechanical Engineering where he was introduced to Thermodynamics. It was during this time he started to understand the nature in terms of the laws of thermodynamics. Soon, it became evident that in order to get a bigger clearer picture he had to evolve out of the domains of the Newtonian paradigm and focus in areas of complexity science. This motivated him immensely as an undergraduate student. Soon he started writing papers and eventually, publishing them in International Journals. He is a member of the American Physical Society.

Research

His areas of interest include: Complexity Science, Complex Networks, Self-organization, Social Network Analysis, Classical, Statistical and Non-equilibrium Thermodynamics, Evolutionary Biology, Probability Theory and Stochastic processes, Classical Physics and Construcal Theory.