Call for Papers - SI on ARAO

Special Issue on Augmented Reality for Airborne Operations: A Big Data and Data Engineering Perspective

Aims and Scope

The integration of 5G communication and IoT technologies in avionics has opened new opportunities for advancements, including the use of metaverse and augmented / virtual reality technologies. One area of research in this special issue will focus on the development of avionic systems for the metaverse era, including the challenges of developing avionic systems that can operate in the metaverse environment. This research will address the need for standardization and interoperability in avionics for the metaverse era, as well as the potential of avionics technologies to improve sustainability in the aviation industry.

Researchers will address the need for the impact of emerging technologies on regulatory frameworks and policies to ensure that avionics systems are adequately protected against cyber-attacks. This issue will focus on the development of new technologies that can enhance passenger experience, while also considering the environmental impact of avionics technologies. Overall, this special issue will bring together researchers, engineers, and technologists in the fields of aerospace, avionics, robotics, and related domains to address the current research gaps in avionics technology. We hope to identify and address the challenges of developing avionic systems for the metaverse era while improving cybersecurity measures, passenger experience, and sustainability in the aviation industry.

Lead Guest Editor

Dr. Pushan Kumar Dutta
Amity University, India
Research Interests: 
IoT, Electronic Devices, Explanaible AI, Predictive Data, Education

Guest Editors

Dr. S. B. Goyal
City University, Malaysia
Research Interests: 
Big Data, Information System, Artificial Intelligence, Blockchain, Cloud Computing

Dr. Thippa Reddy Gadekallu
Zhongda Group, China
Jiaxing University, China                                                                                                                                                  Research Interests: Machine Learning, Computer Vision, Blockchain, IoT

Dr. Ruchi Doshi
Azteca University, Mexico
Research Interests: 
Cloud Computing, Machine Learning, Deep Learning

Dr. Subrata Chowdhury
Sreenivasa Institute of Technology and Management Studies, India
Research Interests:
Wireless Communications, Network Security, Cloud Computing, Web Development, Database Software, Programming

Dr. Hasan Tinmaz
Woosong University, South Korea
Research Interests: 
Project Based Learning, Portfolio Management, Metaverse, NLP

Dr. Jane Thomason
Industry Associate UCL Centre for Blockchain, UK
Research Interests:
Digital Ethics, Advancements in Applied Metaverse

Special Issue Information

We encourage researchers and experts worldwide to contribute by submitting high-quality original research papers and review papers.

  1. The role of AR in improving situational awareness for airborne operations
  2. The use of machine learning and artificial intelligence in AR for airborne operations
  3. Data-driven decision-making methods for AR in airborne operations
  4. Intelligent control systems for AR in airborne operations
  5. AR-enabled communication and collaboration between airborne and ground-based personnel
  6. AR-based navigation and targeting systems for airborne operations
  7. The use of AR in disaster response and relief efforts
  8. Ethical and privacy considerations for AR in airborne operations
  9. Human-machine interaction and usability studies in AR for airborne operations
  10. Integration of AR with other technologies (e.g., drones, IoT sensors) for enhanced operations
  11. The use of computer vision and image processing in AR for airborne operations
  12. Intelligent sensor fusion for AR in airborne operations
  13. The use of predictive analytics in AR for airborne operations
  14. Public safety applications of AR in airborne operations
  15. The use of reinforcement learning in AR for airborne operations

Manuscript Submission Information

Submission deadline: 1 November 2023

Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field. Accepted papers will be published on early access first and sent for copy editing and typesetting. Then all papers will be included in the special issue when it is published.

If you have any queries regarding the special issue or other matters, please feel free to contact the editorial office: /