Gas Sensing and Artificial Olfaction

Central themes are advanced nanomaterials and microporous frameworks for selectivity and sensitivity, atomically dispersed elements for tunable surface reactivity, carbon-based sensing platforms, and bioinspired and biomimetic approaches that emulate biological odour discrimination. Machine learning applied to gas-sensor datasets for real-time, high-dimensional pattern recognition is a parallel focus, with applications in wearable and portable devices, medical diagnostics from non-invasive breath analysis to early disease detection, and robotic olfaction systems that navigate and map volatile environments. Researchers from academia, industry, start-ups and clinical practice take part. The five-day meeting combines talks on unpublished work with extended discussion, poster sessions open to all career stages, and communal meals and free afternoons for informal exchange; attendance is by application.