Measurement Science


  1. Measurement foundations
    Underlying mathematical, statistical and information theory, signal processing, data analysis and information fusion, dynamic quantities and state estimation, measurement data and information fusion, evaluation of measurement uncertainty, measurement of nonquantitative properties

  2. Networked and IoT-related measurement systems
    Aggregated sensor and measurement systems,  “soft sensors” and practical information fusion, smart sensor applications and condition monitoring, redundant Information and self-X strategies, synchronization and dynamic modelling of aggregated systems, autonomous measurement systems

  3. Advanced Measurment Approaches
    Quantum-based measurements, one-step-traceability solutions, numerical simulation approaches, parametric and data-driven modelling approaches, virtual systems and digital twins in measurement
  1. AI Approaches in Measurement
    Measurement systems with cognitive features, quality assessment of data-driven and cognitive systems, explainable and transparent AI in measurement

  2. Science of measurement and it's applications
    Production processes and robotics, energy supply and quality, environmental protection, mobility, safety and security, health and socio-technical applications

Supporting Institutions and publishing partners