Rajesh Kumar Dhanaraj

Rajesh Kumar DhanarajDr. Rajesh Kumar Dhanaraj is a Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He received the B.E. degree in Computer Science and Engineering from the Anna University Chennai, India in 2007and the M.Tech from the Anna University Coimbatore, India in 2010 and Ph.D. degree in Computer Science from Anna University, Chennai, India, in 2017. He has contributed 40+ Authored and Edited books on various technologies, 21 Patents and 70+ articles and papers in various refereed journals and international conferences and contributed chapters to the books. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), member of the Computer Science Teacher Association (CSTA); and International Association of Engineers (IAENG). He is serving as an Associate Editor and Guest Editor for reputed journals Elsevier Computers and Electrical Engineering, Human-centric Computing and Information Sciences, Emerald - International Journal of Pervasive Computing and Communications, Hindawi - Mobile Information Systems, etc. He is an Expert Advisory Panel Member of Texas Instruments Inc., USA. Read More Read Less

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Knowledge Graph-Based Methods for Automated Driving45 %
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Artificial Intelligence in IoT and Cyborgization37 %
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Computational Intelligence in Sustainable Computing and Optimization45 %
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Agri 4.0 and the Future of Cyber-Physical Agricultural Systems45 %
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Digital Transformation in Healthcare 5.038 %
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AI Based Advancements in Biometrics and its Applications
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AI-Powered IoT in the Energy Industry37 %
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Homomorphic Encryption for Financial Cryptography37 %
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Metaverse Technologies in Healthcare45 %
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Self-powered Sensors45 %
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Computational Intelligence in Internet of Agricultural Things37 %
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Artificial Intelligence in IoT and Cyborgization37 %
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Homomorphic Encryption for Financial Cryptography37 %
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AI-Powered IoT in the Energy Industry37 %
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Smart Grids and Internet of Things33 %
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Artificial Intelligence for Health 4.0: Challenges and Applications38 %
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Digital Twin for Smart Manufacturing45 %
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IoT and Big Data Analytics for Smart Cities38 %
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Big Data43 %
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Blockchain-Based Systems for the Modern Energy Grid45 %
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