Rabindra Nath Shaw

Rabindra Nath ShawRabindra Nath Shaw is a Senior Member of IEEE (USA), currently holding the post of Director, International Relations, Galgotias University India. He is an alumnus of the applied physics department, University of Calcutta, India. . He has more than elven years teaching experience in leading institutes like Motilal Nehru National Institute of Technology Allahabad, India, Jadavpur University and others in UG and PG level. He has successfully organised more than fifteen International conferences as Conference Chair, Publication Chair and Editor. He has published more than fifty Scopus/ WoS/ ISI indexed research papers in International Journals and conference Proceedings. He is the editor of several Springer and Elsevier books. His primary area of research is optimization algorithms and machine learning techniques for power system, IoT Application, Renewable Energy, and power Electronics converters. He also worked as University Examination Coordinator, University MOOC's Coordinator, University Conference Coordinator and Faculty- In Charge, Centre of Excellence for Power Engineering and Clean Energy Integration. Read More Read Less

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Innovations in Electrical and Electronic Engineering37 %
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Innovations in Electrical and Electronic Engineering37 %
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Advanced Computing and Intelligent Technologies37 %
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Innovations in Electrical and Electronic Engineering37 %
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Innovations in Electrical and Electronic Engineering37 %
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Advanced Communication and Intelligent Systems37 %
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Advanced Communication and Intelligent Systems37 %
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Advanced Communication and Intelligent Systems37 %
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AI and IoT for Smart City Applications37 %
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Innovations in Electrical and Electronic Engineering37 %
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AI and IOT in Renewable Energy37 %
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Innovations in Electrical and Electronic Engineering37 %
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Machine Learning for Robotics Applications37 %
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Innovations in Electrical and Electronic Engineering37 %
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AI and IoT for Smart City Applications43 %
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Applications of AI and IOT in Renewable Energy45 %
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AI and IOT in Renewable Energy37 %
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Innovations in Electrical and Electronic Engineering37 %
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Machine Learning for Robotics Applications37 %
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Advanced Computing and Intelligent Technologies37 %
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