DataScience@UB, together with the 8Wires consultancy, organized the first Data Breakfast with Data Scientists experts, to explore working methodologies in projects created from the data.
Jordi Vitrià, Director of the DataScience@UB group, has been invited as speaker at the 3rd edition of the Big Data Congress, organized by the Big Data CoE Barcelona on October 25-26.
Albert Díaz-Guilera, researcher of the group DataScience@UB, is invited to give the summer School course at the Faculty of Engineering of the University of the Andes, Colombia: Trends in Analytics: Network Science.
Dr. Petia Radeva and Dr. Jordi Vitria, among others, have awarded a U.S. patent for their work about image analysis for intestinal contraction detection.
Dr Jordi Vitrià invited to address an invited talk at the XVI Enric Casassas Conference on December 14th.
Dr Jordi Vitrià invited to address PhD students at the Doctoral Workshop in Computer Science and Mathematics at the Universitat Rovira i Virgili on November 17th 2016.
The DataScience@UB group has 2 openings for PhD positions. The available positions are fully funded by the Catalan government under the Industrial Doctorates Plan.
The spin-off PhysicalTech, created in 2014 by some researvhers from the group DataScience@UB, have developed ADiBAS Posture, a new 3D computer vision technology to improve posture.
Researchers Data Science Group @ University of Barcelona received the II prize of the company DKV Health Insurance and medical application for automatic recognition of food as a support tool to promote healthy habits.
On October 4, researchers from the GCD@UB group inaugurated the posgraduate course on Data Science & Bigdata of the University of Barcelona. Data science is about implementing actionable models by writing code and exploring data.
The second edition of the Big Data Congress, the leading big data event in Catalonia, was held on 4 and 5 October. Data Science Group researcher Oriol Pujol took part in the roundtable session “Big Data: State of the Art” with a talk titled “Sharing Data in the Age of Deep Learning”.