Hybrid Intelligence in Aerospace Science and Engineering

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Aerospace Science and Engineering".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 112

Special Issue Editors


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Guest Editor
School of Aeronautic Science and Engineering, Beihang University, Beijing 102206, China
Interests: human-in-the-loop machine learning; collaborative hybrid intelligence for aircraft design; fault diagnosis; pattern recognition; machine learning and engineering applications

E-Mail Website
Guest Editor
School of Aeronautic Science and Engineering & School of General Engineering, Beihang University, Beijing 100191, China
Interests: heat transfer; combustion and kinetics; multiscale coupling and simulation; renewable energy

Special Issue Information

Dear Colleagues,

To promote the communication and development in the research domain of Aerospace Science and Engineering, the “Applied Sciences” launched a Special Issue on “Hybrid Intelligence in Aerospace Science and Engineering”. Hybrid intelligence is defined as the combination of human and machine intelligent, augmenting their capacities and achieving goals that were unreachable by either humans or machines. With the advancement of artificial intelligence technology, intelligent methods and devices have been extensively employed in all facets of aircraft design, manufacturing, and control, etc. However, the accessibility of intelligent systems that are both computationally efficient and reliable in decision-making, while also being independent of expensive equipment, remains an open question. One of the significant ways to track this question is through the human-assisted intelligent system. The main hybrid intelligent research is as follows: how to build adaptive intelligent systems that augment rather than replace human intelligence, leverage their strengths, and compensate for their weaknesses while take into account domain guidelines, system safety, efficiency and human load considerations.

The Special Issue of “Hybrid Intelligence in Aerospace Science and Engineering” is aimed at aerospace-science-related aircraft design and manufacturing, human-machine interaction, human-machine shared control and the evaluation methods of HI systems. The areas of interest include, but are not limited to:

  1. Collaborative Hybrid Intelligence for aircraft design;
  2. Collaborative Hybrid Intelligence for aircraft manufacturing;
  3. Computer aided design;
  4. Machine learning for fluid mechanics;
  5. Human-in-the-loop machine learning;
  6. Human-machine interaction technologies;
  7. Decision fusion;
  8. Shared control;
  9. Continue Learning;
  10. Explainable Hybrid Intelligence;
  11. Uncertainty in Hybrid Intelligence

Prof. Dr. Ke Li
Prof. Dr. Dongsheng Wen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • collaborative hybrid intelligence for aircraft design
  • collaborative hybrid intelligence for aircraft manufacturing
  • human-in-the-loop machine learning
  • human-machine interaction technologies
  • explainable hybrid intelligence
  • uncertainty in hybrid intelligence

Published Papers

This special issue is now open for submission.
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