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Francisco de Assis Tenório de Carvalho is a Full Professor at the Centro de Informática (CIn) of the Universidade Federal de Pernambuco (UFPE), where he has served as a researcher since 1999 and as titular professor since 2011. He earned a degree in Electrical Engineering from UFPE in 1980, a master’s degree in Nuclear Sciences and Technologies from UFPE in 1984, and a doctorate from Université Paris IX-Dauphine in 1992. His research centers on cluster analysis, symbolic data analysis, data mining, statistical pattern recognition, and machine learning, with particular emphasis on unsupervised learning methods for interval and histogram-valued symbolic data, relational multi-view data, and kernel-based approaches with automatic variable weighting.
Throughout his career, Professor de Carvalho has held visiting positions at institutions including Université Paris-Dauphine, INRIA Paris-Rocquencourt, Seconda Università degli Studi di Napoli, RWTH Aachen University, and others. He has supervised approximately 50 undergraduate research students, 25 master’s students, and 11 to 14 doctoral students. He is a level 1A researcher at CNPq, received the Scientific Merit Award from the Brazilian Computer Society in 2021, and has been elected a full member of the Academia Pernambucana de Ciências (2020), the Brazilian Academy of Sciences (2023), the Core Academy (2024), and other bodies. He has authored more than 240 articles in high-impact journals and conferences, with an h-index of 35 on Google Scholar, and ranks among the top 2% most influential scientists worldwide in artificial intelligence. He has coordinated graduate programs and departments at CIn-UFPE, served on CNPq advisory committees, and contributed to editorial and program committees in his field.
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