Data-Centric Engineering for Sustainable Future with AI and Human-in-the-Loop

A special issue of Biomimetics (ISSN 2313-7673).

Deadline for manuscript submissions: 20 January 2025 | Viewed by 252

Special Issue Editors

School of Intelligent Manufacturing Ecosystem, Xi’an Jiaotong-Liverpool University, Suzhou 15400, China
Interests: AI; digital manufacturing; robotics; autonomous system; high-performance computing
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School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Interests: digital manufacturing; precision machining; manufacturing instrumentation; machining process simulation

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Guest Editor
Cummins Generator Technology, Peterborough PE2 6FZ, UK
Interests: Al; digital manufacturing; turbo machinery; noise and vibration

Special Issue Information

1 Introduction and Scope:

This Special Issue explores the convergence of artificial intelligence (AI), robotics, and human-in-the-loop methodologies in developing sustainable engineering solutions. It focuses on integrating biomimetic principles with AI and human-centered design to address complex sustainability challenges in manufacturing, energy systems, and environmental management.

2 Topics of Interest:

  We invite original research, reviews, and case studies on, but not limited to, the following:

  • AI-driven sustainable engineering design;
  • High-precision intelligent manufacturing with AI;
  • Human–AI collaboration in eco-friendly lean manufacturing;
  • Robotics for environmental monitoring and conservation;
  • Digital twins and cyber-physical systems;
  • High-performance computing in sustainable engineering with AI-in-the-loop;
  • Industry 4.0/5.0 approaches to the circular economy;
  • AI for energy-efficient systems;
  • Human-in-the-loop machine learning for adaptive engineering;
  • AI-enhanced life cycle assessment and product design;
  • AI for multidisciplinary and social science applications;
  • AI-driven energy systems for enhanced efficiency;
  • Lifecycle assessment and design via AI;
  • Bioinspired robotics in ecological restoration;
  • Cross-disciplinary AI applications in social and environmental sciences;
  • Autonomous systems including unmanned aerial vehicles (UAVs), unmanned surface vessels (USVs), autonomous underwater vehicles (AUVs), autonomous driving systems (ADSs), etc.

Importance and Timeliness:

As we transition to Industry 4.0/5.0, this Special Issue provides a platform for sharing cutting-edge research on integrating AI, robotics, and human expertise with biomimetic principles in sustainable engineering.

Dr. Yi Chen
Dr. Dehong Huo
Dr. Xiangrong Su
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. Biomimetics 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 2200 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

  • artificial intelligence
  • multidisciplinary engineering
  • human-in-the-loop
  • sustainable manufacturing
  • Industry 4.0/5.0
  • digital twins
  • robotics
  • autonomous systems
  • cyber-physical systems
  • nature-inspired algorithms
  • eco-innovation
  • machine learning

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Published Papers

This special issue is now open for submission.
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