PRAI 2025 Call for Papers
Special Session 1: Information Visualization using Computational Intelligent Systems
PRAI 2025 welcomes special session proposal submission.
The PRAI 2025 solicits contributions of abstracts, full papers and posters that address themes and topics of the conference. The topics of interest include, but not limited to the following:
【Call for Papers & Tracks 】
Submit Online: https://www.easychair.org/conferences/?conf=prai2025 Select the track when you submit.
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 |
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 |
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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 |
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 |
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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 |
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 |
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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 |
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 |
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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 |
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 |
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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 |
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 |
Track 1. Robot Perception and Intelligent Interaction