Bijaya Ketan Panigrahi

Bijaya Ketan PanigrahiDr. B K Panigrahi is a Professor in the Electrical Engineering Department, IIT Delhi, India. Prior to joining IIT Delhi in 2005, he has served as a faculty in Electrical Engineering Department, UCE Burla, Odisha, India from 1992 to 2005. Dr Panigrahiis a senior member of IEEE and Fellow of INAE, India. His research interest includes application of soft computing and evolutionary computing techniques to power system planning, operation and control. He has also working in the field of bio-medical signal processing and image processing. He has served as the editorial board member, associate editor, and special issue guest editor of different international journals. He is also associated with various international conferences in various capacities. Dr. Panigrahi has published more than 100 research papers in various international and national journals. Read More Read Less

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2.
Artificial Intelligence and Evolutionary Algorithms in Engineering Systems37 %
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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems37 %
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Power Engineering and Intelligent Systems37 %
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25 Feb 2024
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Artificial Intelligence and Sustainable Computing37 %
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21 Jul 2022
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Soft Computing: Theories and Applications37 %
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26 Jun 2021
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Soft Computing: Theories and Applications37 %
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26 Jun 2021
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Sixth International Conference on Intelligent Computing and Applications37 %
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14 Jun 2021
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Artificial Intelligence and Sustainable Computing37 %
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06 Jun 2021
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Advances in Power and Control Engineering37 %
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30 Nov 2020
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Proceedings of Icetit 201937 %
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12.
Intelligent Computing and Applications37 %
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30 Sep 2020
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Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing37 %
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Artificial Intelligence and Evolutionary Computations in Engineering Systems37 %
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09 Feb 2020
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Advances in Power and Control Engineering37 %
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30 Nov 2019
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Proceedings of Icetit 201937 %
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Computational Intelligence in Sensor Networks37 %
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11 Feb 2019
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18.
Nature Inspired Computing37 %
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04 Oct 2017
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19.
Swarm, Evolutionary, and Memetic Computing37 %
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Artificial Intelligence and Evolutionary Computations in Engineering Systems37 %
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