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Keynote Lectures

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Sjaak Brinkkemper, Information and Computing Sciences, Utrecht University, Netherlands

Available soon.
Jordi Solé-Casals, Data and Signal Processing Group, University of Vic - Central University of Catalonia, Spain

 

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Sjaak Brinkkemper
Information and Computing Sciences, Utrecht University
Netherlands
https://www.uu.nl/staff/SBrinkkemper/0
 

Brief Bio
Prof. Dr. Sjaak Brinkkemper is full professor of Software Production at the Department of Information and Computing Sciences of Utrecht University, the Netherlands. He leads a group of about twenty-five researchers specialized in large-scale software product development and software entrepreneurship. The main research themes of the group are the methodology of software production, digital ecosystems, IT sustainability, and requirements engineering. Brinkkemper's research interests: software production, requirements engineering, software architecture, and method engineering. In 2018 he started the Care2Report research program on the architecting and development of automated reporting in societal sectors, such as healthcare, police, and business analysis.


Abstract
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Available soon.

Jordi Solé-Casals
Data and Signal Processing Group, University of Vic - Central University of Catalonia
Spain
 

Brief Bio
Jordi Solé-Casals received the Ph. D. degree with European label in 2000, and the B.Sc. degree in Telecommunications in 1995, both from the Polytechnic University of Catalonia (UPC), Barcelona, Spain. In 1994 he joined the Department of Digital and Information Technologies of the University of Vic, where he is currently associate Professor. He is the Head of the Data and Signal Processing Research Group and maintains active collaborations with many international research groups. He was Visiting Research with the Gipsa-Lab in Grenoble (France), LABSP-RIKEN in Tokyo (Japan) and BMU in Cambridge (United Kingdom). Currently, he continues these relations with these laboratories. His research interests are in neurosciences, biometrics, statistical signal processing, machine learning, neural networks, source separation and independent component analysis.


Abstract
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