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Plenary Lecture by Prof. Rasmus Bro
Rasmus Bro is Professor of Chemometrics at the University of Copenhagen, Denmark, and one of the world's leading experts in chemometrics. He has made pioneering contributions to multi-way analysis, tensor decomposition, multivariate calibration, and chromatographic data analysis, making us travel to PARADISe with his new company, Kromath ApS. His research has shaped modern analytical chemistry and spectroscopy, with applications ranging from food science to metabolomics and industrial process monitoring. He is the author of numerous highly cited publications and widely used MATLAB toolboxes, and has played a major role in advancing chemometrics education worldwide.

The origin of the Colloquium Chemometricum Mediterraneum (CCM) dates back to 1986, when, during an international conference, several French, Spanish and Italian researchers, each speaking their own mother tongue, managed to share their experiences in chemometrics and multivariate data analysis. This was the seed from which the CCM sprang, together with one of its main characteristics: the official languages of the conference are all Romance or Neo-Latin languages, as well as English.

The past editions of CCM were held in Barcelona (Spain) in 1987, in San Miniato (Italy) in 1991, in Bastia (France) in 1994, in Burgos (Spain) in 1998, on the island of Ustica (Italy) in 2003, in Saint-Maximin-La-Sainte-Baume (France) in 2007, in Granada (Spain) in 2010, in Bevagna (Italy) in 2013, in Arles (France) in 2017, on the island of Menorca (Spain) in 2019, in Padova (Italy) in 2023 and on the island of Porquerolles (France) in 2025,

CCM constitutes a unique scientific forum where new advances in chemometrics are presented and discussed, and where all Latin-Origin chemometricians can express themselves in their own languages (Latin-based languages), exchanging knowledge on cutting-edge developments. Over the last four decades, CCM has greatly promoted international collaboration and provided international exposure, especially for students and young researchers.

CCM-2027 will welcome contributions on, among others, topics like:

  • Design of Experiments (DoE) and system optimisation.
  • Multivariate, multiway and multiset data analysis.
  • Calibration in regression and classification.
  • Multivariate curve resolution.
  • Deep Learning.
  • Algorithm development.
  • Image analysis (any image modality).
  • Pattern recognition and clustering.
  • Process Analytical Technology (PAT) and process data analysis.
  • Qualimetrics and chemical metrology
  • QSAR and QSPR
  • Metabolomics