Himansu Das

Himansu DasHimansu Das is working as an as Assistant Professor in the School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India. He has received his B. Tech and M. Tech degree from Biju Pattnaik University of Technology (BPUT), Odisha, India. e has published several research papers in various international journals and conferences. He has also edited several books of international repute. He is associated with different international bodies as Editorial/Reviewer board member of various journals and conferences. He is a proficient in the field of Computer Science Engineering and served as an organizing chair, publicity chair and act as member of program committees of many national and international conferences. He is also associated with various educational and research societies like IACSIT, ISTE, UACEE, CSI, IET, IAENG, ISCA etc., His research interest includes Grid Computing, Cloud Computing, and Machine Learning. He has also 10 years of teaching and research experience in different engineering colleges. Read More Read Less

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Automated Software Testing37 %
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Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 237 %
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Intelligent Technologies37 %
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Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 237 %
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Nature Inspired Computing for Data Science37 %
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Machine Learning for Intelligent Decision Science37 %
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Nature Inspired Computing for Data Science37 %
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Machine Learning for Intelligent Decision Science37 %
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Automated Software Testing37 %
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Progress in Computing, Analytics and Networking37 %
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27 Mar 2020
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Cloud Computing for Geospatial Big Data Analytics37 %
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31 Jan 2019
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Cloud Computing for Optimization: Foundations, Applications, and Challenges37 %
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Computational Intelligence in Sensor Networks37 %
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Cloud Computing for Optimization: Foundations, Applications, and Challenges37 %
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Progress in Computing, Analytics and Networking37 %
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Computational Intelligence in Sensor Networks43 %
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24 Jun 2018
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Empirical Research for Futuristic E-Commerce Systems43 % NR
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30 Aug 2022
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Empirical Research for Futuristic E-Commerce Systems38 % NR
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