Measurement Science


  1. Measurement foundations
    Measurement theory, signal processing, data analysis, uncertainty determination, measurement of dynamic quantities, state estimation, new measurement principles, measurement in soft systems and of non-physical quantities, education

  2. Advanced methods and measurement systems
    Smart sensors, model-based measurements, data fusion, causality analysis, data mining, condition monitoring, simulation approaches, remote sensing

  3. Networked measurement systems
    Mutli-sensor and distributed systems, mobile and autonomous systems, cyber-physical systems, novel modelling approaches, virtual and quantum-based system references, holistic systems

  4. AI approaches in measurement
    Machine learning, deep learning, "Self-X" strategies

  5. Applications
    Medicine, biology, smart living, safety, security, digital manufacturing, smart transportation, energy, robotics, artificial intelligence, weather and climate

Supporting Institutions