Aviation Science and Technology Applications

A special issue of Technologies (ISSN 2227-7080).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 434

Special Issue Editor


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Guest Editor
School of Science, University of New South Wales, Canberra 2612, Australia
Interests: aerospace; aviation; intelligent systems; smart sensors
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Special Issue Information

Dear Colleagues,

This special issue aims to explore the latest advancements and applications in aviation science and technology. As the aviation industry continues to evolve, integrating cutting-edge technologies and innovative practices is crucial for enhancing safety, efficiency, and sustainability. This issue will serve as a platform for researchers, engineers, and practitioners to share their findings, insights, and developments in various aspects of aviation.

We invite original research articles, review papers, and case studies that address, but are not limited to, the following topics:

  • Sustainable Aviation: Green technologies, alternative fuels, and strategies for reducing the environmental impact of aviation.
  • Human Factors and Ergonomics: Enhancing pilot training, cockpit design, and overall human-machine interaction.
  • Aviation Operations and Management: Innovations in airline operations, maintenance, and logistics.
  • Aviation Safety and Security: Innovations in safety protocols, risk management, and security technologies.
  • Aviation Education and Training: Use of technology and other digital tools to enhance aviation education and training.
  • Aircraft Maintenance, Repair, and Overhaul: Applications of 3D printing, IoT, and AI/ML for predictive maintenance, etc.
  • Aircraft Design and Engineering: Advances in aerodynamics, materials science, and propulsion systems, etc.
  • Air Traffic Management: Modernization of air traffic control systems, optimization algorithms, and automation.
  • Drones (UAS/UAV/RPAS): Development and applications of drones and other unmanned systems in commercial and military contexts.
  • Urban Air Mobility: Emerging technologies and frameworks for advanced or urban air mobility solutions.
  • Aerospace Transportation: Point-to-point space, supersonic, and even hypersonic concepts, as well as space tourism and other commercial space activity,

By bringing together a diverse range of topics and perspectives, this special issue aims to foster interdisciplinary collaboration and drive forward the frontiers of aviation science and technology. Trends in terns of the digital transformation, including AI/ML, VR/AR, blockchain, and other up-and-coming technologies, in shaping the future of aviation are desirable. Similarly, the green revolution, and associated electrification and hybridization in aviation should be considered.

We look forward to your contributions that will help shape the future of aviation.

Dr. Graham Wild
Guest Editor

Manuscript Submission Information

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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. Technologies is an international peer-reviewed open access monthly 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 1600 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

  • aerospace
  • air transport
  • airlines
  • airports
  • aviation
  • flying
  • drones
  • RPAS
  • UAV
  • UAM
  • AAM
  • UAS

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Published Papers (1 paper)

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Research

25 pages, 2905 KiB  
Article
Does the Choice of Topic Modeling Technique Impact the Interpretation of Aviation Incident Reports? A Methodological Assessment
by Aziida Nanyonga, Keith Joiner, Ugur Turhan and Graham Wild
Technologies 2025, 13(5), 209; https://doi.org/10.3390/technologies13050209 - 19 May 2025
Abstract
This study presents a comparative analysis of four topic modeling techniques —Latent Dirichlet Allocation (LDA), Bidirectional Encoder Representations from Transformers (BERT), Probabilistic Latent Semantic Analysis (pLSA), and Non-negative Matrix Factorization (NMF)—applied to aviation safety reports from the ATSB dataset spanning 2013–2023. The evaluation [...] Read more.
This study presents a comparative analysis of four topic modeling techniques —Latent Dirichlet Allocation (LDA), Bidirectional Encoder Representations from Transformers (BERT), Probabilistic Latent Semantic Analysis (pLSA), and Non-negative Matrix Factorization (NMF)—applied to aviation safety reports from the ATSB dataset spanning 2013–2023. The evaluation focuses on coherence, interpretability, generalization, computational efficiency, and scalability. The results indicate that NMF achieves the highest coherence score (0.7987), demonstrating its effectiveness in extracting well-defined topics from structured narratives. pLSA performs competitively (coherence: 0.7634) but lacks the scalability of NMF. LDA and BERTopic, while effective in generalization (perplexity: −6.471 and −4.638, respectively), struggle with coherence due to their probabilistic nature and reliance on contextual embeddings. A preliminary expert review by two aviation safety specialists found that topics generated by the NMF model were interpretable and aligned well with domain knowledge, reinforcing its potential suitability for such aviation safety analysis. Future research should explore new hybrid modeling approaches and real-time applications to enhance aviation safety analysis further. The study contributes to advancing automated safety monitoring in the aviation industry by refining the most appropriate topic modeling techniques. Full article
(This article belongs to the Special Issue Aviation Science and Technology Applications)
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