In addition to the regular contributions submitted to the IMEKO Technical Committees, authors will have the opportunity to present their work in a number of Special Sessions focusing on specific topics and emerging areas of interest. Below you can find the list of Special Sessions currently planned for the Congress. If your contribution fits the scope of one of these sessions, you are welcome to submit it directly to the relevant Special Session.
Wearable technologies are rapidly transforming healthcare, sports science, occupational safety, and personal wellbeing, while similar sensing approaches are increasingly explored for monitoring physiological processes in plants and crops. Devices capable of continuously collecting parameters such as heart rate, respiratory activity, blood oxygen saturation, body temperature, movement, or plant-related signals such as elongation, sap flow, and hydration status are progressively integrated into everyday environments and digital monitoring platforms. These systems support emerging paradigms such as telemedicine, remote patient monitoring, and the use of plants as biological sensors or precision agriculture, enabling proactive and data-driven management of biological systems.
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Non-destructive testing and evaluation (NDT&E) is a key enabling technology for ensuring the integrity, safety, and durability of materials, components, and structures across industrial, energy, and cultural heritage applications, where non-invasive and reliable diagnostics are essential. The increasing complexity of systems and the demand for higher reliability standards require continuous advances in sensor technologies, measurement methodologies, and data analysis techniques.
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During the last few decades, health monitoring technologies have evolved from isolated wearable devices toward integrated sensor ecosystems combining ambient sensing, smart objects, and non-invasive monitoring solutions. While these technologies are gaining increasing consensus for continuous health monitoring across the entire human lifespan, transitioning them from “consumer gadgets” to “clinical-grade tools” requires a rigorous metrological approach, to ensure stakeholders can appropriately interpret and exploit measurement results. This Special Session focuses on the metrological challenges and opportunities associated with heterogeneous sensor networks for lifelong health monitoring.
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Measurement science can play a driving role in addressing scientific and technological challenges shaping the near future, including artificial intelligence (AI), space exploration, climate change, energy transition, smart agriculture, quantum technologies, robotics, cybersecurity, and equitable healthcare for all. These domains call for fresh multidisciplinary metrological perspectives and strategies, such as distributed and pervasive sensing, sensor fusion, digital twins, advanced methods for data analysis and uncertainty quantification, explainable and trustworthy AI for measurement, and digital metrology infrastructures.
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Quantum technologies and metrology share a two-way relationship. On one side, quantum effects underpin the most accurate measurements we can make – the Josephson and quantum Hall effects realise the electrical units, optical clocks are driving the imminent redefinition of the second, and entanglement and squeezing push sensing beyond the standard quantum limit (“quantum for metrology”). On the other side, the emerging quantum industry increasingly needs measurement science itself: quantum computers, sensors and communication systems must be characterised, benchmarked, tested and standardised before they can be trusted, compared and deployed (“metrology for quantum”).
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The rapid evolution of optical metrology-including camera-based systems, confocal sensing, interferometry, and tomography—has significantly improved the precision, flexibility, and applicability of modern measurement systems. These technologies are widely used in advanced manufacturing, biomedical imaging, and scientific research, enabling high-resolution, multidimensional, non-contact measurements, and establishing optical metrology as a key tool for industrial inspection and experimental analysis. However, real-world measurement scenarios introduce substantial challenges. Optical data are affected by multiple noise sources, such as photon shot noise, electronic interference, environmental disturbances, and optical aberrations, which degrade signal quality.
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Sensor networks are critical enablers of digital transformation across Industry 4.0 & 5.0, smart cities, environmental monitoring, and energy systems. As sensing systems evolve from individual instruments to complex, interconnected and intelligent networks, ensuring measurement traceability, uncertainty evaluation, and data trustworthiness becomes increasingly challenging. This special session addresses the emerging field of sensor network metrology, focusing on the development of metrological frameworks for distributed and heterogeneous sensing systems.
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Measurement science is becoming increasingly relevant to veterinary and animal sciences as sensing, imaging, wearable devices, Internet of Things (IoT), omics and genomic technologies, and artificial intelligence (AI) enable the quantitative assessment of animal health, physiology, behaviour, welfare, performance, genetic and molecular characteristics, and interactions with the environment. Despite these advances, important measurement challenges remain. These include the definition of measurands, establishment of reliable reference values and ground truth, sensor calibration and validation, measurement uncertainty, repeatability and reproducibility, data quality, and comparability of results across animals, systems, environments, and experimental conditions.
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Advances in ophthalmic diagnosis, treatment, and vision assessment increasingly rely on highly accurate optical measurement technologies. Modern ophthalmic systems, including optical coherence tomography (OCT), corneal topographers, wavefront aberrometers, ocular biometers, retinal imaging systems, intraocular pressure measurement systems, surgical guidance systems, and treatment monitoring devices, require rigorous metrological characterization and validation to ensure measurement accuracy, traceability, repeatability, and comparability across clinical centers.
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Advanced nondestructive measurement and imaging are increasingly important for quantitative evaluation and structural integrity assessment of advanced engineering systems. Emerging applications involving complex geometries, multilayered structures, composites, coatings and safety-critical components require measurement methods that offer higher sensitivity, resolution, adaptability and interpretability.
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The global transition toward clean and low-carbon energy systems is driving demand for batteries with higher energy density, enhanced safety, longer service life, and reduced cost. Meeting these requirements depends increasingly on accurate, reliable, and real-time measurements of battery performance, degradation, and safety throughout the entire lifecycle. Battery sensing is undergoing a fundamental transformation-from external to internal sensing, from physical to chemical measurements, and from single-parameter acquisition to coordinated multi-parameter monitoring.
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Process tomography is a typical non-intrusive visual sensing technique for industrial process perception. It overcomes the limitations of traditional point measurement methods by enabling real-time, undisturbed spatial visualization of internal flow fields, effectively addressing common industrial monitoring challenges such as invisible process states and unmeasurable transient flow behaviors. Long-term systematic research in this field has formed a complete technical system covering multi-modal sensing, high-speed data acquisition and intelligent image reconstruction, supporting robust industrial monitoring applications. With the rapid development of industrial intelligence, traditional tomographic technologies are constrained by limited imaging resolution and poor adaptability to complex operating conditions.
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Writing in 1984, O. D. Duncan, in his book, Notes on Social Measurement, called for closer ties across the social sciences and metrology. Duncan argued that the advances in measurement modeling made between the 1920s and the 1960s in the works of Thurstone and Rasch called for intensified dialogues across the sciences. He held “that social measurement should be brought within the scope of historical metrology, while that discipline learns to take advantage of sociological perspectives.” At the time of his passing almost 20 years ago, a colleague referred to Duncan in an obituary as “the most important quantitative sociologist in the world in the latter half of the twentieth century.” The exchange of views desired by Duncan began in earnest in 2008 at an IMEKO TC1-TC7-TC13 Joint Symposium in Annecy, France, and at another held in 2010 in London.
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Dynamic measurement is becoming a key enabling capability as industry moves toward intelligent, digital and highly automated systems. In advanced manufacturing, intelligent transportation, robotics, renewable energy, aerospace and next-generation infrastructure, critical physical quantities often change rapidly under complex operating conditions. Accurate, traceable and reliable measurement of these changes is essential for technological innovation, real-time decision-making, system safety, operational efficiency and product quality.
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Reliable measurements are essential for addressing societal challenges related to climate change, environmental protection, energy transition, industrial competitiveness, digitalization and public health. Metrology provides the foundation for trustworthy and comparable measurement results, supporting scientific research, innovation, regulation, and evidence-based decision-making. The European Metrology Networks (EMNs), established under EURAMET, strengthen collaboration across Europe by bringing together National Metrology Institutes, Designated Institutes, academia, industry, regulators, and other stakeholders. Through coordinated activities, EMNs identify emerging measurement needs, promote best practices, foster harmonization, and support the uptake of metrological knowledge and infrastructure.
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Vision-based measurement is already widely used across scientific and industrial applications, but recent progress in computer vision, machine learning, and artificial intelligence is changing how these systems are designed. In many emerging approaches, useful measurement information is learned directly from data rather than relying only on predefined physical models or handcrafted processing pipelines.
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Ultrasonic wave propagation serves as a fundamental physical basis for both medical diagnostics and industrial non-destructive testing (NDT). Despite their distinct application scenarios, both fields share common theoretical foundations - including wave-matic scattering, acoustic attenuation, and inverse problems - and face similar technical challenges such as high-resolution imaging in complex media and quantitative characterization under noisy conditions. This special session aims to foster interdisciplinary exchange between medical and industrial ultrasonic communities.
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Wind and photovoltaic plants are distributed renewable energy conversion systems generating large amounts of operational data, but the indicators and forecasts derived from them are not always automatically trustworthy. Their meaning depends on what is being measured, how data are acquired and processed, whether the measurements remain valid under changing operating conditions, and how uncertainty affects their interpretation.
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Quantitative spectroscopy is a key enabling technology in modern measurement science, enabling precise determination of chemical composition, temperature, pressure, velocity and other physical quantities through light-matter interaction across the ultraviolet, visible, infrared and terahertz spectral regions. Emission, absorption and scattering spectroscopic methods have become indispensable in industrial process control, energy systems, environmental monitoring, biomedicine, agriculture, security, and extreme environments. Recent advances in laser sources, optoelectronic devices, integrated photonics, and quantum technologies are redefining how spectroscopic measurements are conceived, implemented and applied.
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Low-frequency vibrations are measured in the air as infrasound, in water and as ground motion for a wide range of purposes: from earthquake detection, through exploration and structural design of buildings, to the detection of nuclear weapon explosions – all these fields are of great significance in the context of ‘metrology for humanity’, the title of the World Congress. Up to now, many of the mentioned quantities are measured without traceability to the International System of Units (SI). To resolve this issue, research has been carried out in recent years and is still ongoing.
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