29–30 May 2025
Europe/Berlin timezone

Welcome to the ENBIS Spring Meeting 

Quality by Design (QbD) & Process Analytical Technology (PAT): Statistical, AI, and “Grey” Approaches

Coimbra, Portugal, May 29-30, 2025

Aim of the Spring Meeting

Quality by Design (QbD) plays an important role in the modern industry. Often, it goes hand in hand with technological solutions that secure the supervision and stability of the processes in the design space (DS), such as spectroscopy, namely near-infrared, Raman, fluorescence, or UV, collectively called Process Analytical Technology (PAT). QbD and PAT initiatives have benefited from concepts, methodologies and tools arising from different corners of the data-driven sciences, such as statistics, chemometrics, and machine learning. The integration of first principles and existing knowledge with empirical modelling, called grey modelling, is another area of current active research that may bring important contributions to QbD/PAT. Inevitably, Artificial Intelligence will also play a role in the future of these fields, but which exactly is an open question. Therefore, it is both important and opportune to assess how these different approaches can further contribute to improving or reinventing QbD and PAT initiatives, either isolated or cooperatively. The main goal of the ENBIS Spring Meeting 2025 is to foster high-level discussions on these and other related topics.

All stakeholders, from graduate students to professionals, from researchers to industrial managers, are invited to participate actively. We welcome contributions in the following areas (the list is not exhaustive), with a focus on their application in industry in the scope of QbD/PAT:

  • Design of experiments (physical systems or in silico)
  • Active learning, Bayesian optimization and derivative-free optimization
  • Design spaces under uncertainty (Bayesian and frequentist approaches)
  • Explainable and Generative AI
  • Transfer learning
  • New grey (hybrid) modelling architectures
  • Digital Twins
  • Physics-informed neural networks (PINNs)
  • Chemometrics: classical and new AI methods
  • Integrated approaches of the above

Contact information

For any question about the meeting venue and scientific programme, registration and paper submission, feel free to contact the ENBIS Permanent Office : office@enbis.org.

 

Local Organizing Committee:

 

Programme Committee:

  • Marco S. Reis (Chair), University of Coimbra, Portugal
  • Raffaele Vitale (Co-Chair), Université de Lille, France
  • Jacqueline Asscher, Kinneret College, Israel
  • Alberto Ferrer, Universidad Politecnica de Valencia, Spain
  • Pierantonio Facco, University of Padova, Italy
  • Valeria Fonseca, Software Competence Center Hagenberg, Austria
  • Sonja Kuhnt, Dortmund University of Applied Sciences and Arts, Germany
 
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Europe/Berlin