Recent Advances and Applications in Optical Fiber Sensing
A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Lasers, Light Sources and Sensors".
Deadline for manuscript submissions: 10 July 2026 | Viewed by 2008
Special Issue Editors
Interests: fiber-optic sensors; sensor technology and applications in geosciences; physical sensors; sensor devices; sensing principles; signal processing and data fusion in sensor systems; multi-sensor positioning and navigation
Interests: integrated optical accelerometer; integrated optical gyroscope; fiber-optic angular accelerometer
Special Issue Information
Dear Colleagues,
Optical fiber sensing has rapidly evolved into a transformative technology, enabling breakthroughs across multiple disciplines, from geophysics and structural health monitoring to environmental science, biomedicine, and industrial automation. With continuous advancements in fiber fabrication, optoelectronic integration, and signal processing, fiber-optic sensors now offer enhanced sensitivity, stability, and adaptability. Their unique ability to operate in extreme environments—including deep-sea, borehole, space, and hazardous industrial settings—has significantly expanded their applications in scientific research and real-world deployments.
This Special Issue aims to present the latest research on optical fiber sensing technologies, covering new theoretical models, novel sensor designs, and innovative applications. We invite researchers from diverse fields to contribute original articles, review articles, and technical notes that explore recent breakthroughs in fiber-optic sensing. Furthmore, we welcome a wide range of applications, including temperature, strain, vibration, rotation, magnetic field, current, gas, and biomedical sensing. Contributions addressing integration with artificial intelligence, machine learning, and advanced signal processing techniques are also encouraged. Topics include but are not limited to the following:
- Fiber, grating, and components for optical fiber sensing;
- Physical sensors, chemical sensors, and biosensors;
- Micro- and nano-structured fiber-optic sensors;
- Distributed optical fiber sensing;
- Geophysical sensing;
- Rotational sensing;
- Environmental and structural monitoring;
- Applications in geoscience;
- Biomedical optical sensing;
- Signal processing and data fusion in fiber-optic sensing;
- Instrumentation and measurements in optical fiber sensing;
- AI and machine learning in optical fiber sensing.
Dr. Yanjun Chen
Dr. Xiangdong Ma
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. Photonics is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- fiber, grating, and components for optical fiber sensing
- physical sensors, chemical sensors, and biosensors
- micro- and nano-structured fiber-optic sensors
- distributed optical fiber sensing
- geophysical sensing
- rotational sensing
- environmental and structural monitoring
- applications in geoscience
- biomedical optical sensing
- signal processing and data fusion in fiber optic sensing
- instrumentation and measurements in optical fiber sensing
- AI and machine learning in optical fiber sensing
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