Recent Advances in Digital Technology and Digital Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 December 2026 | Viewed by 1253
Special Issue Editors
Interests: data science and big data technology; artificial intelligence; computer vision; satellite digitization
Special Issues, Collections and Topics in MDPI journals
Interests: study of dynamic mechanical behavior of materials; artificial intelligence; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital technology and digital engineering are driving a paradigm shift across industries by leveraging cutting-edge technologies such as computer vision, artificial intelligence, and big data analytics. These technologies enable precise, real-time, and automated solutions in fields ranging from healthcare to manufacturing and beyond. However, a critical challenge lies in applying these advancements to real-world, in-process scenarios, such as medical diagnostics, industrial automation, and environmental monitoring. Digital engineering can bridge the gap between theoretical models and practical applications, enabling the study of dynamic, non-idealized systems during their actual operation. This approach not only provides new insights into process behavior but also facilitates real-time control and optimization. In-process applications often present challenging conditions, including limited data access, noisy environments, large-scale systems, and complex interactions. To achieve the transition “from the lab to the field,” digital technologies must operate at the limits of feasibility and beyond.
We invite articles that explore the integration of digital technologies and digital engineering in real-world, in-process scenarios. Potential topics include, but are not limited to, the following:
- Innovative computer vision and AI-driven solutions for medical imaging, industrial inspection, and environmental monitoring;
- Digital twin technologies for the real-time simulation and optimization of complex systems;
- Model-based approaches and data fusion for extracting actionable insights from heterogeneous data sources;
- Scaling digital solutions from controlled laboratory environments to real-world applications;
- Real-time monitoring and control using advanced digital engineering techniques;
- Adaptive systems for handling variable conditions, cross-sensitivities, and uncertainties;
- Exploration of the limits of digital measurability in complex, dynamic environments;
- Novel findings enabled by in-process digital monitoring, analysis, and optimization;
- Case studies demonstrating the application of digital technologies in healthcare, smart manufacturing, and sustainable engineering;
- Cross-domain applicability of digital solutions for diverse in-process challenges.
Original research articles highlighting the latest advancements in digital transformation and digital engineering are encouraged, along with review papers and comparative studies that provide a broader perspective on the field.
Dr. Wen Zheng
Dr. Pengfei Wang
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 250 words) can be sent to the Editorial Office for assessment.
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
- digital technology
- digital engineering
- digital twins
- artificial intelligence
- computer vision
- real-time monitoring
- industrial automation
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