This Week’s Discoveries | 9 October 2018
- Ricardo da Silva Torres
- Tuesday 9 October 2018
Niels Bohrweg 2
2333 CA Leiden
- De Sitterzaal
A Data Science Perspective for revealing `The secret of playing football'
Ricardo da Silva Torres (UNICAMP, guest at LIACS) is Full Professor of computer science at the University of Campinas (UNICAMP). He is visiting LIACS this week. Dr. Torres was director of the Institute of Computing, the University of Campinas from 2013 to 2017. Dr. Torres is a Brazilian CNPq research scholar (PQ 1C). Dr. Torres received a B.Sc. in Computer Engineering from University of Campinas, Brazil, in 2000 and his Ph.D. degree in Computer Science at the same university in 2004. Dr. Torres is co-founder and a member of the RECOD lab, where he has been developing multidisciplinary e-Science research projects involving Multimedia Analysis, Multimedia Image Retrieval, Machine Learning, and Databases. Dr. Torres serves as Senior Area Editor of the IEEE Signal Processing Letters. Dr. Torres is author/co-author of more than 200 articles in refereed journal and conferences and serves as PC member for several international and national conferences.
Huge volumes of Complex Data have been generated in the context of soccer analysis, demanding the definition of effective and efficient services for knowledge discovery aiming to support the decision-making process. The term Complex Data refers to the universe of potentially non-structured multimodal data, and therefore covers a wide variety of data types such as text, sound, image, video, graphs, location information, among others. This lecture will focus on presenting ongoing research initiatives focused on the specification and implementation of appropriate systems to handle large-scale Complex
Data collections in the context of the project 'The secret of playing football: Brazil versus the Netherlands'. In this project, we have been addressing the scientific challenge of unraveling the secret of Brazilian and Dutch soccer by capturing successful elements of game play of both countries, combining expertise from computer science and sport science.