AISEIS focuses on the full intelligent sensing chain: from sensing devices and electronic hardware, to edge AI models and computing architectures, to real-world intelligent systems.
AISEIS 2027 invites original research papers, review papers, and application-oriented contributions related to intelligent sensing, edge AI, electronic systems, imaging technologies, and AI-enabled real-world perception.
Submissions are welcome in, but not limited to, the following areas:
• AI-enabled sensors and intelligent sensing devices
• Smart sensor design, calibration, and optimization
• In-sensor and near-sensor computing
• MEMS, wearable, biomedical, and environmental sensors
• Low-power and energy-efficient sensing systems
• Sensor data quality, uncertainty modeling, noise reduction, and robustness
• Intelligent imaging systems
• Optical sensing and photonic sensor technologies
• Computational imaging and AI-enhanced reconstruction
• Infrared, hyperspectral, multispectral, and thermal imaging
• Event-based vision and neuromorphic sensing
• Imaging systems for environmental, industrial, biomedical, and security applications
• Edge AI algorithms and architectures
• TinyML and lightweight deep learning models
• Embedded AI hardware–software co-design
• Real-time inference on edge devices
• AI accelerators for sensing and perception
• Federated learning and distributed intelligence for edge systems
• Privacy-preserving and secure edge intelligence
• AI-assisted signal processing
• Multimodal sensor fusion
• Vision, radar, lidar and acoustic sensing integration
• Cross-modal learning for sensing systems
• Robust perception in complex or low-information environments
• Context-aware sensing and adaptive perception
• Human activity recognition and scene understanding
• Electronic circuits and systems for sensing
• Embedded systems and hardware platforms for intelligent sensing
• Wireless sensing and communication systems
• Real-time data acquisition and processing systems
• Hardware reliability, testing, and system integration
• Instrumentation and measurement systems
• AIoT and smart city systems
• Intelligent transportation and autonomous systems
• Robotics and unmanned systems
• Industrial inspection and predictive maintenance
• Healthcare monitoring and biomedical sensing
• Environmental monitoring and remote sensing
• Smart manufacturing and digital twins
• Security, safety, and surveillance systems