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Blockchain, IoT, and AI Technologies for Supply Chain Management

Apply Emerging Technologies to Address and Improve Supply Chain Management

Veena Grover, Balamurugan Balusamy, Mariofanna Milanov & A. Yovan Felix

Blockchain, IoT, and AI Technologies for Supply Chain Management
Blockchain, IoT, and AI Technologies for Supply Chain Management

Blockchain, IoT, and AI Technologies for Supply Chain Management

Apply Emerging Technologies to Address and Improve Supply Chain Management

Veena Grover, Balamurugan Balusamy, Mariofanna Milanov & A. Yovan Felix

Paperback | English
  • Not yet published, expected at Jul 21, 2024
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Description

Dr. Veena Grover is a Professor in Department of Management at Noida Institute of Engineering & Technology, India. Her interests include Micro Finance, Sustainability, Macro Economic Variables, and Innovation Strategy. She has published multiple articles in various journals and presented papers in various conferences. At present, she is guiding four research scholars and serves as an Editor of International Journal of Advanced Trends in Technology, Management & Applied Science.

Dr. Balamurugan Balusamy is currently working as Associate Dean–Student Engagement in Shiv Nadar University, India. He has 15 years of experience in the field of computer science. His areas of interest are Internet of Things, Big data, Networking. He has published more than 100 papers and contributed multiple book chapters.

Prof. Seifedine Kadry focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.

Dr. A. Yovan Felix has mentored students in the project areas of Big Data, Deep Learning, and Data Mining. He has published technical papers in national and international journals. He has over 17 years of experience and expertise in data analytics, smart prediction systems, and deep learning algorithms. He also coordinated in organizing several events at both national and international levels.



Dr. Veena Grover is a Professor in Department of Management at Noida Institute of Engineering & Technology, India. Her interests include Micro Finance, Sustainability, Macro Economic Variables, and Innovation Strategy. She has published multiple articles in various journals and presented papers in various conferences. At present, she is guiding four research scholars and serves as an Editor of International Journal of Advanced Trends in Technology, Management & Applied Science.

Dr. Balamurugan Balusamy is currently working as Associate Dean–Student Engagement in Shiv Nadar University, India. He has 15 years of experience in the field of computer science. His areas of interest are Internet of Things, Big data, Networking. He has published more than 100 papers and contributed multiple book chapters.

Prof. Seifedine Kadry focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.

Dr. A. Yovan Felix has mentored students in the project areas of Big Data, Deep Learning, and Data Mining. He has published technical papers in national and international journals. He has over 17 years of experience and expertise in data analytics, smart prediction systems, and deep learning algorithms. He also coordinated in organizing several events at both national and international levels.

Specifications

  • Publisher
    APress
  • Pub date
    Jul 2024
  • Pages
    250
  • Theme
    Data encryption
  • Dimensions
    235 x 155 mm
  • EAN
    9798868803147
  • Paperback
    Paperback
  • Language
    English

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