Satchidananda Dehuri

Satchidananda DehuriDr. Satchidananda Dehuri is working as an Associate Professor in the Department of Information and Communication Technology, Fakir Mohan University, Balasore, Odisha, India. Prior to this appointment, for a short stint (from Oct. 2012 to May 2014) hewas an Associate Professor in the Department of Systems Engineering, Ajou University, South Korea. He received his M.Tech. and PhD degrees in Computer Science from Utkal University, Vani Vihar, Odisha in 2001 and 2006, respectively. He visited as a BOYSCAST Fellow to the Soft Computing Laboratory, Yonsei University, Seoul, South Korea under the BOYSCAST Fellowship Program of DST, Govt. of India in 2008. In 2010 he received Young Scientist Award in Engineering and Technology for the year 2008 from Odisha Vigyan Academy, Department of Science and Technology, Govt. of Odisha. He was at the Center for Theoretical Studies, Indian Institute of Technology Kharagpur as a Visiting Researcher in 2002 and 2017. During May-June 2006 he was a Visiting Scientist at the Center for Soft Computing Research, Indian Statistical Institute, Kolkata. His research interests include Evolutionary Computation, Neural Networks, Pattern Recognition, Data Warehousing and Mining, Object Oriented Programming and its Applications in Bioinformatics. He has already published about 220 research papers in reputed journals and referred conferences, has published five text books for undergraduate and graduate students and edited more than ten books of contemporary relevance. Read More Read Less

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Computational Intelligence for Big Data Analysis37 %
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14 Jun 2015
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Machine Intelligence, Tools, and Applications37 %
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19 Aug 2024
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Advances in Machine Learning for Big Data Analysis37 %
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26 Feb 2023
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Biologically Inspired Techniques in Many Criteria Decision Making37 %
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Advances in Machine Learning for Big Data Analysis37 %
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25 Feb 2022
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Biologically Inspired Techniques in Many Criteria Decision Making37 %
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Innovations in Intelligent Computing and Communication37 %
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Biologically Inspired Techniques in Many-Criteria Decision Making37 %
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Journey Towards Bio-Inspired Techniques in Software Engineering37 %
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Biologically Inspired Techniques in Many-Criteria Decision Making37 %
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Journey Towards Bio-Inspired Techniques in Software Engineering37 %
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Cloud Computing for Optimization: Foundations, Applications, and Challenges37 %
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Techniques and Environments for Big Data Analysis37 %
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30 Mar 2018
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Cloud Computing for Optimization: Foundations, Applications, and Challenges37 %
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Multi-Objective Swarm Intelligence37 %
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Innovations in Swarm Intelligence37 %
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14 Mar 2012
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Innovations in Swarm Intelligence37 %
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28 Sep 2009
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Techniques and Environments for Big Data Analysis37 %
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16 Feb 2016
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Modern Approaches of Data Mining32 %
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30 Jan 2016
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Computational Intelligence for Big Data Analysis37 %
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09 Oct 2016
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