On 21 May 2021 the second scientific colloquium of DTU DRIVEN took place. 20 PhD students presented recent updates on their research projects in data-driven modelling for a wide range of different application domains. The colloquium gave a podium to all three thematic clusters of the DTU: Computational Physics and Engineering Sciences, Computational Biology and … Continued
The aim of the Machine Learning Seminar series is to harbour presentations of fundamental and methodological advances in data science and machine learning as well as to discuss application areas presented by domain specialists. The uniqueness of the seminar series lies in its attempt to extract common denominators between domain areas and to challenge existing … Continued
Together with 20 other UL doctoral candidates the PhD researchers of DTU DRIVEN had the opportunity to learn about various up-to-date techniques for the visualisation of data in scientific contexts and how to turn complex data into clear and effective visuals. This transferrable skills course took place 7-16 October 2020 and was provided by Koen … Continued
On 5-6 March 2020 members of DTU DRIVEN met for the annual research colloquium in Mondorf, Luxembourg. The colloquium brought together all our doctoral candidates, supervisors and affiliated DTU members. The resulting very interdisciplinary setting, unifying experienced and early stage researchers from different domains, provided once more a unique environment to discuss the progress of … Continued
Dr Jun Pang taught a 2-day course (25-26 November 2019) on “Social Network Analysis” to the PhD students of FNR-PRIDE funded DTUs. The Doctoral Candidates of DTU DRIVEN were introduced to network basics, methods for describing network structure and measuring networks, as well as existing software tools for network analysis. Focusing on social networks, the … Continued