Upcoming PhD defence: Vu Minh Chau

Vu Minh CHAU will defend his PhD thesis Constitutive modelling of nonlinear isotropic elasticity using deep regression neural networks on Friday, 13 October 2023, 13h00-16h00, Campus Belval in room MNO.1020. This dissertation embarks upon an investigation into the application of a machine learning paradigm within the domain of computational mechanics. The central objective of this research works … Continued

Upcoming PhD defence: Fateme Darlik

Fateme DARLIK will defend her PhD thesis Physically-informed Neural Networks to Represent Motion of Granular Material on Thursday, 29 June 2023, 13h00-16h00, Campus Belval in room MNO.1010. The growing importance of renewable energy sources, particularly biomass, in mitigating climate change has led to increased research and development in this field. Biomass combustion chambers play a crucial role … Continued

Upcoming PhD defence: Ninghan Chen

Ninghan CHEN will defend her PhD thesis Decoding the Real World : Tackling Virtual Ethnographic Challenges through Data-Driven Methods on Tuesday, 27 June 2023, 14h00-17h00, Campus Belval in room MNO.1010. As the Internet has become an integral part of our daily lives, the virtual world, particularly online social networks (OSNs), have evolved into crucial platforms for learning … Continued

Upcoming PhD defence: Diego Kozlowski

Diego KOZLOWSKI will defend his PhD thesis Topics and institutions in the reproduction of intersectional inequalities in science on Friday, 31 March 2023, 14h00-17h00, Campus Belval in room MSA.3160. This thesis is devoted to the study of race and gender inequalities in topics and impact of US-based researchers. Using a large-scale database with more than … Continued

Upcoming PhD defence: Piergiorgio Vitello

Piergiorgio VITELLO will defend his PhD thesis Crowdsourced Data for Mobility Analysis on Friday, 10 March 2023, 10h00, Campus Belval in room MSA 3.330. The role of data in transportation research is crucial for understanding and analyzing the movement of people. This thesis explores the potential of crowdsourced data, specifically the popularity index of points … Continued