9th International Conference on Sensors, Signal and Image Processing (SSIP 2026)

The 9th International Conference on Sensors, Signal and Image Processing (SSIP 2026) is a conference that examines intelligent sensing, signal processing, AI-driven image analysis, computer vision, biomedical processing, wireless communications, and cross-modal data fusion.

Key topics

• AI-driven signal and image processing
  • Deep learning-based signal processing
  • Convolutional neural network for image analysis
  • Multi-modal signal fusion learning
  • Tiny foundation model edge distillation
  • Generative AI for sensor data imputation
  • Signal large language model agents
  • Self-supervised learning for raw sensor signals
  • Hyperdimensional computing for lightweight sensing AI
• Advanced sensors and intelligent sensing systems
  • Smart sensors
  • Micro-Electro-Mechanical Systems (MEMS)
  • IoT sensing devices
  • Wearable sensors
  • Neuromorphic in-sensor computing
  • Self-powered triboelectric sensing nodes
  • Hyperspectral miniature sensing chips
  • All-optical integrated on-chip sensing systems
• Biomedical signal and medical image processing
  • ECG signal analysis and arrhythmia detection
  • EEG signal processing and brain-computer interface
  • Medical image segmentation and quantitative analysis
  • Medical image registration and fusion
  • Ultrasound image enhancement and lesion detection
  • Pathological image intelligent analysis
  • Biomedical signal denoising and feature extraction
  • AI-assisted medical diagnosis systems
• Industrial intelligent sensing and machine vision
  • Multi-sensor fusion for industrial digital twins
  • Robot occlusion-robust visual perception
  • Industrial acoustic vibration fault diagnosis
  • Production line visual defect detection
  • Industrial IoT sensing node deployment
  • Machine vision measurement and localization
  • Industrial infrared thermography analysis
  • Intelligent quality inspection vision systems
• Image processing, computer vision and video analytics
  • Image enhancement and restoration
  • Object detection and semantic segmentation
  • 3D vision and point cloud processing
  • Event camera asynchronous vision processing
  • Diffusion model for low-light image restoration
  • Monocular NeRF for 3D scene reconstruction
  • Lightweight multi-object video tracking
  • Transformer for edge vision inference
• Communication signal processing and intelligent wireless systems
  • Wireless communication signal detection
  • Radar signal processing and target recognition
  • Integrated sensing and communications (ISAC)
  • Intelligent reflecting surface for 6G channel estimation
  • Terahertz communication signal processing
  • ISAC joint waveform design
  • Massive MIMO signal compression
  • Edge AI for communication signal optimization
• Signal processing theories and emerging algorithms
  • Adaptive filtering
  • Statistical signal processing
  • Sparse representation and compressed sensing
  • Time-frequency analysis and wavelet transform
  • Graph signal processing for sensor networks
  • Deep unfolding sparse recovery
  • Tensor multi-dimensional signal decomposition
  • Distributed in-network signal iterative optimization
• Cross-modal signal and image fusion technologies
  • Multi-sensor cross-modal fusion
  • Audio-visual signal fusion analysis
  • Infrared-visible image fusion
  • Remote sensing image multi-source fusion
  • Cross-modal feature alignment and transfer
  • Cross-modal generation and completion
  • Lightweight design of fusion models
  • Cross-modal fusion quality assessment

Who should attend

• Sensor and sensing systems researchers
• Signal processing researchers
• Image processing and computer vision researchers
• AI and machine learning researchers
• Biomedical signal and medical imaging researchers
• Wireless communication researchers
• Industrial sensing and machine vision professionals