RIT Color Science Seminar
RIT Color Science Seminar
This July, Samuel Morillas Gómez was invited to deliver a talk at the Rochester Institute of Technology (RIT), one of the world’s leading institutions in color science.
Dr. Morillas spent the academic year 2016–2017 at RIT, a formative stage in his career where he deepened his expertise in visual image processing and fuzzy systems. Returning seven years later to present his own research at this institution has been not only a scientific milestone but also a rewarding and meaningful moment.
From Fuzzy Logic to Interpretable Machine Learning
His talk, “Fuzzy logic trained systems and Color Science applications”, introduced how fuzzy logic can be used not only to model human-like reasoning but also to extract structure and meaning from data in a way that remains interpretable.
Through examples in spectral curve recovery, color difference computation, and display characterization, the presentation showcased how these systems balance model performance and human understanding — a central goal for IMaLeVICS.
🔍 By leveraging fuzzy clustering and Takagi–Sugeno systems, Samuel illustrated how interpretable rules can emerge from data-rich but knowledge-scarce contexts.
Towards Transparent AI in Color Science
As black-box models become widespread, IMaLeVICS aims to keep interpretability at the heart of scientific progress. We’re grateful for opportunities like this one to exchange ideas with international colleagues pushing the field forward.
If you want to know more about it, contact us.