Elucidating Digital and Cognitive Twins in Internet of Things

Submission Deadline: 20 December 2022 (closed)

Guest Editors

Dr. Satya Prakash Yadav, G.L. Bajaj Institute of technology and Management, India.
Dr. Sanjeev Kumar Pippal, G.L. Bajaj Institute of technology and Management, India.
Dr. Krishna Kant Agarwal, ABES Institute of Technology, India.
Prof. Dimitrios A. Karras, National and Kapodistrian University of Athens, Greece.


Internet of things is a well explored domain from both research and real time applications, but the past few years multiple new facets of Internet of things have emerged that have brought massive changes in the computer science research community. A similar change has been brought by the concept of digital twins and cognitive twins in the Internet of Things powered manufacturing and product platforms with huge IoT brands like Siemens MindSphere backing the same. Research and implementations in terms of both attention and funds have grown exponentially towards the unique concept of digital and cognitive twins the past few years, such that even federal governments is utilising it like system operations; railways and power plants have been used in cities since Jan 1, 2019. 

Aim and objective

This research venture aims and aspires to provide an insight into the developments, implementations, challenges, scope and limitations of cognitive and digital twins in the domain of Internet of things with special emphasis on case studies on power system, over all architecture, administration, simulation and operations by Singapore government. It also focuses on harnessing the current research into its implications in the real business world by elucidating research initiatives of major technology giants in corporate and research domain like Massachusetts Institute of Technology (MIT) press, Harvard University Press (HUP), Columbia University Press, Google, Microsoft, Facebook and some fast developing Softwares companies.

The scope of this research extends from latest trends in internet of things from a pragmatic business perspective and its contingent combinational implementations with digital and cognitive twins, which is elaborated as follows:

1. Comprehending capabilities of internet of things

2. Developments in Internet of Things (IoT) based organizations

3. Elaborating multiple facets cognitive and digital twins

4. A review of various internet of things and digital twin ventures by research giants

5. Applications of cognitive and digital in business enabled by Internet of Things (IoT)

6. Case study on federal government of Singapore’s digital twin applicatio

7. Enabling prominent Digital twin based applications

8. Understanding intuitive abilities of digital-cognitive twins

9. Major frameworks and techniques implemented for Digital-Cognitive twins

10. Elaborating challenges of Real time digital-cognitive applications

11. Computation limitation of Digital-cognitive implementations

12. Future of digital-cognitive enabled Internet of things (IoT)


AI, IoT, Big Data analytics, Machine Learning, Deep Learning, Network, Cloud services, Trust management, Blockchain, 5G communication, Optical networks, Tactile internet.

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