Neeraj Gupta

Neeraj GuptaDr. Neeraj Gupta is Ph.D. in power systems from Indian Institute of Technology Roorkee, Roorkee, India. He is a senior member of IEEE. He was a faculty with the Thapar University, from 2008 to 2009, Adani Institute of Infrastructure Engineering, Ahmeabad, India, in 2015 and NIT Hamirpur from 2015 to 2018 and presently, he has been working as an Assistant professor with the Electrical Engineering Department, National Institute of Technology, Srinagar, J&K, India. His work has been published in Q-1 international journals of repute like IEEE, Elsevier etc. He is also in the scientific advisory/organizing secretary of many reputed conferences of the country. He is referee of reputed journals of IEEE, Elsevier, Taylor and Francis, IET etc. His research interests include uncertainty quantification of power system, probabilistic power system, solar, wind, and electric vehicle technologies, Artificial intelligence, Machine learning, prediction etc. Read More Read Less

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Machine Learning for Semiconductor Materials30 %
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Frontiers in Genetics Algorithm Theory and Applications37 %
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Society 5.0 and the Future of Emerging Computational Technologies28 %
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Frontiers in Genetics Algorithm Theory and Applications37 %
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Renewable Energy Integration to the Grid48 %
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Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications48 %
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Comprehensive Textbook of Allergy38 %
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Innovations in Information and Communication Technologies37 %
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Competency-Based Logbook in Obstetrics and Gynecology for MBBS16 %
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Renewable Energy Integration to the Grid48 %
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Society 5.0 and the Future of Emerging Computational Technologies30 %
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Smart Electrical and Mechanical Systems45 %
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Innovations in Information and Communication Technologies37 %
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Frontiers in Nature-Inspired Industrial Optimization37 %
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Control of Standalone Microgrid45 %
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Machine Learning for Predictive Analysis37 %
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Frontiers in Nature-Inspired Industrial Optimization37 %
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Frontier Applications of Nature Inspired Computation37 %
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Machine Learning for Predictive Analysis37 %
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Frontier Applications of Nature Inspired Computation37 %
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