PRAI 2026 (International Conference on Pattern Recognition and Artificial Intelligence) is an academic conference held in Shanghai, China on 2026-08-14. The paper submission deadline is 2026-06-15 (extended). Acceptance notifications are sent on 2026-07-10.
The topics of interest include, but not limited to the following:
T1. Robot Perception and Intelligent Interaction
Track Chair: Yang Liu, Xi'an Jiaotong -Liverpool University, China
Visual and sensory perception in robotics
Object recognition and manipulation
Human-robot interaction models
Multi-modal sensing and perception
Cognitive architectures for intelligent robots
Navigation and path planning under uncertainty
Social and emotional interaction models for robots
Applications of AI in service robots
Learning from demonstration and imitation
Ethical considerations in robot interaction
T2. Image Analysis and Smart Healthcare
Track Chair: Chuanlin Liu, Southwest Petroleum University, China
Medical image processing and analysis
Computer-aided diagnosis and decision support systems
Radiomics and genomics integration
Image-based biomarker discovery
Automation of medical imaging workflows
AI applications in pathology and histology
Image segmentation and feature extraction techniques
Mobile health technologies for image analysis
Visualization techniques for healthcare data
Ethical issues in medical image interpretation
T3. Intelligent Manufacturing and Autonomous Drive
Track Chair: Peng Lin, Hangzhou Dianzi University, China
Smart manufacturing systems and Industry 4.0 technologies
Predictive maintenance and smart logistics
Autonomous vehicle perception and control
Robotic process automation in manufacturing
Human-centered design in smart factories
Quality control and defect detection using AI
Real-time monitoring and optimization of manufacturing processes
Autonomous navigation and path planning for drones and vehicles
Case studies on successful implementation of AI in manufacturing
Safety and ethical implications of autonomous systems
T4. Intelligent Recommendation and Text Analysis
User behavior modeling for recommendation systems
Natural language processing techniques for text analysis
Sentiment analysis and opinion mining
Personalized recommendation algorithms
Multi-platform recommendation systems
Explainable recommendation systems
Text summarization and entity recognition
Cross-domain recommendations and transfer learning
Applications of recommendation systems in e-commerce and media
Social media analysis and trend prediction
T5. Speech, Signal and Video Processing
Track Chairs: Yanmei Li, Chongqing University of Technology, China
Zhongqiang Luo, Sichuan University of Science & Engineering, China
Speech recognition and synthesis technologies
Audio signal processing techniques and applications
Affect detection in speech signals
Video analysis and action recognition
Real-time signal processing for IoT devices
Hardware accelerators for signal processing
Robustness and noise reduction techniques in speech signals
Applications of AI in real-time video surveillance
Feature extraction for audio-visual content
Ethical considerations in speech and video processing technologies
Track 6. Metaverse, Virtual Reality and Augmented Reality
Development of virtual platforms and environments
User experience design for AR and VR applications
AI-driven content creation in the metaverse
Interoperability and standards in virtual environments
Social interaction in virtual spaces
Applications of AR and VR in education and training
Ethical implications of the metaverse and digital identities
Immersive technologies for health and therapy
Enhancing real-world interaction with AR
Case studies of successful metaverse applications
T7. Quantum Computing and Applications
Algorithms and models for quantum machine learning
Quantum-enhanced optimization techniques
Cryptography and security in quantum systems
Quantum data structures and their applications
Noise reduction techniques in quantum computing
Hybrid quantum-classical approaches for data analysis
Quantum simulation and its applications in AI
Challenges and breakthroughs in quantum hardware
Quantum computing for big data processing
Ethical implications and societal impact of quantum technologies
T8. Internet of Things and Applications
Track Chair: Zhufang Kuang, Central South University of Forestry and Technology, China
Smart IoT applications in industry and healthcare
Security and privacy challenges in IoT systems
IoT architecture and protocols for data exchange
Edge computing in IoT environments
Data analytics for IoT-based systems
Energy-efficient IoT device designs
Autonomous IoT systems and machine-to-machine interaction
Sensor networks and their applications
Case studies in smart cities and sustainable development
Ethical considerations in data collection from IoT devices
T9. Machine Learning, Privacy Computing and Federated Learning
Track Chair: Lianmeng Jiao, Northwestern Polytechnical University, China
Applications of federated learning in different domains
Privacy-preserving machine learning algorithms
Ethical AI and fairness in machine learning
Explainable AI techniques in privacy-aware environments
Real-world use cases for privacy computing
Data ownership and consent management
Adaptive learning algorithms for heterogeneous data
Security challenges in federated networks
Cross-domain generalization in machine learning models
Future directions in privacy-preserving technologies
T10. Biomedical Signal Processing and Smart Health
Techniques for processing physiological signals (ECG, EEG, etc.)
Wearable health technology and applications
Machine learning approaches for smart health monitoring
Remote diagnosis and telemedicine systems
Signal analysis for chronic disease management
Improvement of signal quality and noise reduction technologies
Real-time data processing in healthcare applications
Integration of diverse biomedical signals for health insights
Clinical decision support systems based on signal analysis
Ethical issues in the use of biomedical signals
T11. Integration and Application of Unmanned Systems
Autonomous drones and their applications in logistics
Unmanned ground and aerial vehicle coordination
Sensor fusion techniques for unmanned systems
Applications of UAVs in agriculture and environmental monitoring
Security and surveillance applications using unmanned systems
Human-robot collaboration in unmanned systems operations
Regulatory and safety issues in the deployment of unmanned systems
Real-time data processing for autonomous navigation
Networked unmanned systems for disaster response
Ethical considerations in military and commercial uses of unmanned systems
T12. Deep Learning and Astronomical Big Data
Deep learning techniques for astronomical image processing
Modeling and simulation of cosmic phenomena using AI
Data mining techniques for large astronomical datasets
Applications of AI in exoplanet discovery and characterization
Integration of AI with telescopes and observatories
Transfer learning in the context of astronomical data
Visualization techniques for large-scale astronomical datasets
Predictive analytics in cosmology and astrophysics
Collaboration between AI and astronomy communities
Ethical considerations in the use of AI for space exploration
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