Intelligent Fiber Bragg Grating (FBG) Sensors for Advanced Measurement and Monitoring
A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Lasers, Light Sources and Sensors".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 7
Special Issue Editors
Interests: sensors; optical-wireless communication; internet of things (IoT) and artificial intelligence
Special Issue Information
Dear Colleagues,
The Special Issue “Intelligent Fiber Bragg Grating (FBG) Sensors for Advanced Measurement and Monitoring” aims to explore the integration of artificial intelligence (AI), machine learning, and data-driven techniques with Fiber Bragg Grating sensor technology in order to enhance measurement accuracy, reliability, and real-time monitoring capabilities. FBG sensors have become essential tools in various scientific and industrial applications due to their high sensitivity, multiplexing capability, immunity to electromagnetic interference, and versatility in measuring physical parameters such as strain, temperature, pressure, and vibration. The integration of artificial intelligence (AI), machine learning (ML), and advanced signal processing has further enhanced their capabilities, enabling self-calibration, adaptive response, and predictive monitoring across a wide range of environments. In addition, the integration of Fiber Bragg Grating (FBG) sensors with intelligent data processing and artificial intelligence (AI) techniques is reshaping the future of optical sensing and measurement.
This Special Issue aims to bring together cutting-edge research and innovative methodologies that integrate intelligence into FBG sensor technology to achieve improved performance, robustness, and automation.
We welcome original research articles, technical reports, and comprehensive reviews addressing, but not limited to, the following topics:
- Intelligent FBG sensor design and fabrication;
- AI and deep learning-based FBG signal processing and feature extraction;
- Noise reduction and data denoising using AI models;
- Intelligent multiparameter sensing and cross-sensitivity compensation;
- Smart sensing networks and self-learning FBG systems;
- Real-time monitoring and data analytics for FBG-based systems;
- FBG sensors for structural health monitoring and predictive maintenance;
- Biomedical and environmental applications of intelligent FBG sensing;
- Optical sensing integration with IoT and digital twin systems;
- Simulation, modeling, and inverse design for intelligent sensing;
- Smart cities and industrial monitoring;
- Edge and real-time AI systems for FBG-based sensing platforms;
- Applications in structural health monitoring, aerospace, biomedical, environmental, and industrial systems.
We encourage interdisciplinary submissions that bridge optics, sensing, and computational intelligence to advance the next generation of intelligent FBG-based measurement and monitoring technologies.
Dr. Yibeltal Chanie Manie
Dr. Minyechil Alehegn Tefera
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent sensor networks
- Fiber Bragg Grating (FBG) sensors
- optical sensing
- artificial intelligence (AI)
- deep learning and machine learning
- intelligent signal processing
- smart sensing networks
- structural health monitoring
- data-driven demodulation
- photonic sensing systems
- smart cities and industrial monitoring
- predictive maintenance
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