Color Science Seminar: Trained fuzzy logic systems for color and imaging applications
Color Science Seminar
Trained fuzzy logic systems for color and imaging applications
Dr. Samuel Morillas Gómez
Professor, Higher Technical School of Computer Engineering
Polytechnic University of Valencia
Abstract:
Fuzzy logic systems have been used historically to make computational human solutions to problems expressed in terms of linguistic implication rules. However, currently in many situations we have plenty of data but lack of human knowledge about how to relate them. In this talk, we will see how fuzzy logic systems not only can be trained from data but also can be used to understand the relations found within the data in a few color science applications. In this way, we generate a machine learning model that is fully interpretable, which has a series of advantages with respect to other 'black box' approaches.
Speaker Bio:
Prof. Samuel Morillas holds a BSc in Computer Science from the Universidad de Granada and a PhD in Applied Mathematics from the Universitat Politècnica de València (UPV) in Spain. Since 2019, he has been a full professor of the Applied Math department at UPV, where he is a member of the Institute of Pure and Applied Math. His undergraduate teaching includes fundamental algebra and calculus for first-year students and Continuous modeling for third-year students of the Data Science degree. His graduate teaching at UPV concerns fuzzy logic and applications. He has also been an invited professor in a series of Universities: University of Granada (Spain), Rochester Institute of Technology (NY, USA), Chonbuk National University (South Korea), University at Buffalo (NY, USA), Colorado University at Boulder (Co, USA), Harvard University (Massachusetts, USA), University of Edinburgh (UK) and Metropolia University of Applied Sciences (Finland), where he has taught different courses and seminars about fuzzy logic, image processing, and image appearance models. His research has been focused on fuzzy logic and fuzzy metrics both in the theoretical field and, mostly, in their applications. He has developed different solutions based on fuzzy logic and fuzzy metrics for problems in different fields, including image processing, color science, and pavement engineering. He has published more than 50 papers in scientific journals and presented more than 70 contributions to scientific conferences
Intended Audience:
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