DataScience @ UB research group responds to the challenges facing the organizations originated by the massive generation of data, and we do so from the technological, scientific and social point of view. We are specialists in data science, a key discipline in the digital transformation that involves generating and interpreting information on a large scale. And we approach it both from its mathematical and algorithmic, as well as methodological. Thus, we provide knowledge and predictive and analytical tools, in addition to saving time, money and resources.
What is Data Science Grup
GCD@UB is made up of several University of Barcelona research groups. It was created in order to combine synergies with a view to undertaking technology transfer projects in the field of data science. The following groups, which are part of the faculties of Mathematics and Physics
DataScience@UB designs and prototype a machine that includes an intelligent vision system based on semantic segmentation through convolutional neural networks to automate the classification of skins and leather.
We have won a new competition with the Cartographic and Geological Institute of Catalonia, to apply deep learning techniques in the detection of changes in the network of infrastructures and constructions in the territory with the aim of automating the process of elaboration of the Topographic map of Catalonia.
Joint development with Vall Hebron Hospital of a scalable medical diagnosis solution based on artificial intelligence tools for CorporateHealth International ApS.
We welcome Jordi Mur to our TECNIO group!
Dr. Jordi Mur has joined our group as a Tecniospring Industry Fellow
He joins us after working 5+ years at the forefront of quantum technologies at the University of Oxford, and a stint advising the UK’s Competition and Markets Authority on technological innovations and their impact on businesses, markets, and consumers.
Welcome back to Barcelona, Jordi!
The DataScience@UB research group with the “Wireless Capsule Endoscopy Diagnosis by AI” lead by Santi Seguí and Jordi Vitrià has been selected from the 5 finalists of the Mobile World Scholar Challenge 2019 in the topic Deep Learning.