30th International Conference on Information Fusion (FUSION 2027)

The 30th International Conference on Information Fusion (FUSION 2027) presents advances in information fusion theory, algorithms, evaluation frameworks, and real-world applications across intelligent and autonomous systems.

Key Topics

• Theory And Representation
  • Probability theory and Bayesian inference
  • Belief theory, subjective logic and argumentation frameworks
  • Graph-based fusion models and knowledge reasoning
  • Random sets, finite point processes and uncertainty modeling
  • Possibility theory, fuzzy sets and rough sets
  • Decision theory and sparse representations
• Applications
  • Autonomous systems and robotics
  • Defense, security and intelligence fusion
  • Intelligent transportation and distributed systems
  • Environmental monitoring, precision agriculture and e-health
  • Wireless sensor networks and edge fusion
  • Finance, bioinformatics and industrial condition monitoring
• Algorithms And Methods
  • Multi-modal data fusion and fusion architectures
  • Machine learning, artificial intelligence and LLM-based fusion
  • Nonlinear filtering, tracking and data association
  • Prediction, localization and navigation
  • Recognition, classification and signal processing
  • Anomaly detection, contextual adaptation and resource management
• Test And Evaluations
  • Fusion system performance and benchmarking
  • Trust, explainability and uncertainty assessment
  • Target and sensor modeling with testbeds

Who should Attend

• Researchers and academics in information fusion and signal processing
• Data scientists and artificial intelligence specialists
• Engineers in autonomous systems, robotics and navigation
• Defense and security technology professionals
• Developers of sensor networks and distributed systems
• Industry practitioners in transportation, healthcare and environmental monitoring
• Graduate students and early-career scientists in related fields