AI-Integrated Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 10 March 2026 | Viewed by 8
Special Issue Editor
Special Issue Information
Dear Colleagues,
We are thrilled to announce a Special Issue dedicated to the exciting world of AI-integrated sensors! If you are a researcher, academic or industry expert passionate about how artificial intelligence is revolutionizing sensor technologies, we want to hear from you. This is your chance to share groundbreaking research, real-world case studies, or insightful reviews that highlight the latest advancements in this dynamic field.
AI-powered sensors are reshaping industries—from healthcare and autonomous vehicles to smart cities and sustainable solutions—and we are eager to showcase the innovations driving this transformation. The goal of this Special Issue is to spark interdisciplinary conversations, uncover creative solutions, and tackle the ethical and technical challenges that come with building smarter, more connected systems. Join us in exploring where AI and sensors can take us next!
Topics of Interest
We are casting a wide net to capture the diverse ways that AI is enhancing sensor technologies. Whether you are working on cutting-edge algorithms or practical applications, we would love to see your work. Here are some areas we are particularly excited about (but do not feel limited to these!):
Edge AI for Sensor Processing
- Building lightweight AI models that thrive on resource-constrained devices
- Real-time data crunching that keeps privacy first
- Cool applications in IoT, smart homes, or industrial systems
Multimodal AI Sensors
- Blending visual, auditory, or tactile data for richer insights
- Generative AI that mimics human-like perception (pretty mind-blowing stuff!)
- Gesture recognition, lip-language decoding, or next-gen human–machine interfaces
Wearable and Biosensors for Healthcare
- AI-driven wearables that monitor health 24/7 or catch diseases early
- Self-powered sensors, like those using triboelectric nanogenerators or graphene
- Devices that empower rehabilitation or assistive tech for better lives
AI-Enhanced Sensor Fusion for Autonomous Systems
- Combining sensors for sharper perception in self-driving cars or robots
- Real-time decision-making and path planning under pressure
- Leveraging 5G to supercharge AI sensor networks in fast-paced settings
Soft and Virtual Sensors
- Clever software-based models that act like physical sensors
- AI-powered predictive maintenance or system health checks
- Smart manufacturing or chemical sensing applications
Photonic and Spintronic Sensor Integration
- Light- or spin-based sensors for lightning-fast processing
- AI-driven photonic vision or signal processing breakthroughs
- Innovations fueling next-gen computing or adaptive systems
Dr. Cheryl Li
Guest Editor
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.
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Keywords
- edge AI for sensor processing
- building lightweight AI models that thrive on resource-constrained devices
- real-time data crunching that keeps privacy first
- cool applications in IoT, smart homes, or industrial systems multimodal AI sensors
- blending visual, auditory, or tactile data for richer insights
- generative AI that mimics human-like perception (pretty mind-blowing stuff!)
- gesture recognition, lip-language decoding, or next-gen human–machine interfaces wearable and biosensors for healthcare
- AI-driven wearables that monitor health 24/7 or catch diseases early
- self-powered sensors, like those using triboelectric nanogenerators or graphene
- devices that empower rehabilitation or assistive tech for better lives AI-enhanced sensor fusion for autonomous systems
- combining sensors for sharper perception in self-driving cars or robots
- real-time decision-making and path planning under pressure
- leveraging 5G to supercharge AI sensor networks in fast-paced settings soft and virtual sensors
- clever software-based models that act like physical sensors
- AI-powered predictive maintenance or system health checks
- smart manufacturing or chemical sensing applications photonic and spintronic sensor integration
- light- or spin-based sensors for lightning-fast processing
- AI-driven photonic vision or signal processing breakthroughs
- innovations fueling next-gen computing or adaptive systems
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