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Jorge Bernardino
Polytechnic University of Coimbra
Portugal
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Brief Bio
Jorge Bernardino received the Ph.D. degree in computer science from the University of Coimbra in 2002. He is currently a coordinator professor with the Polytechnic University of Coimbra - ISEC (Instituto Superior de Engenharia de Coimbra), Portugal. From 2005 to 2010, he was president of ISEC. In 2014, he was a visiting professor at Carnegie Mellon University (CMU), USA. From 2017 to 2019, he was also president of the ISEC Scientific Council. He was the director of the Applied Research Institute (i2A), Polytechnic University of Coimbra, from 2019 to 2021. His main research fields are big data, NoSQL, data warehou
sing, business intelligence, open source tools, and software engineering.
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Ricardo da Silva Torres
Artificial Intelligence Group, Wageningen University & Research
Netherlands
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Brief Bio
Ricardo da S. Torres is a Professor in Data Science and Artificial Intelligence at Wageningen University and Research. Dr. Torres held the position of Professor in Visual Computing at the Norwegian University of Science and Technology (NTNU) from 2019 to 2024. He used to hold a position as Professor at the University of Campinas, Brazil (2005 - 2019). Dr. Torres received a B.Sc. in Computer Engineering from the University of Campinas, Brazil, in 2000, and his Ph.D. degree in Computer Science at the same university in 2004. Dr. Torres has been developing multidisciplinary eScience research projects that involve mu
ltimedia analysis, Multimedia Retrieval, Machine Learning, Databases, and Information Visualization. Dr. Torres is an author/co-author of more than 200 articles in refereed journals and conferences and serves as a PC member for several international and national conferences. Currently, he serves as Associate Editor of Pattern Recognition Letters. He is a member of the IEEE.
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Frans Coenen
University of Liverpool
United Kingdom
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Brief Bio
Prof Frans Coenen is a Professor of Computer Science at The University of Liverpool, UK. He has 36 years of experience of working in AI, ranging from early work on driverless ships to current work on deep and machine learning. He is particularly interested in the application of the techniques of Machine Learning to unusual data sets, such as: (i) graphs and social networks, (ii) time series, (iii) free text of all kinds, (iv) 2D and 3D images, particularly medical images, and (v) video data. He is also interested in data mining over encrypted data. He currently leads a small research group working on many aspects
of Machine Learning and AI. He has some 450 refereed research publications, and has been on the programme committees for many Machine Learning and AI conferences and related events.
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David Aveiro
University of Madeira, NOVA-LINCS and ARDITI
Portugal
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Brief Bio
David Aveiro is Assistant Professor at the Faculty of Exact Sciences and Engineering at the University of Madeira (UMa) in Portugal. His research interests include enterprise engineering and digital innovation. He teaches subjects in undergraduate and master degrees in informatics engineering in the areas of enterprise engineering, information systems, database management systems and decision support systems. David holds a Master's and Doctor's degree in Informatics Engineering from the Instituto Superior Técnico of the University of Lisbon and coordinates several European and national funded research and digital
innovation projects, both at the University of Madeira and at the Regional Agency for the Development of Research, Technology and Innovation (ARDITI).
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Le Gruenwald
University of Oklahoma, School of Computer Science
United States
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Brief Bio
Le Gruenwald is a Professor, Dr. David W. Franke Professor, and Samuel Roberts Noble Foundation Presidential Professor in the School of Computer Science at The University of Oklahoma, United States. She was a Cluster Lead and Program Director of the Information Integration and Informatics program and a Program Director of the Cyber Trust program at the National Science Foundation (NSF) in the United States. Her major research interests include Spatio-Temporal Big Data Management and Mining, Cloud Data Management, Data Stream Management and Mining, Quantum Machine Learning and Data Management, Mobile Data Manage
ment, and Information Security and Privacy. She has published more than 200 technical articles in journals, books and conference proceedings and has served on the editorial boards, organizing committees, and program committees for many journals, conferences, and workshops.
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