Mechanical models used for training & planning
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Mission
Team Legato aims at building intuitive and interactive platforms for computational mechanics problems which allow the users to interact with their models and hence gain insights into unconventional and counter-intuitive phenomena.
Happy to participate to the event, hope to meet in person next year !
@H2020Rainbow @mcaaBeNeLux
From #MCAAConf2021 session on #mentalhealth for #EarlyCareer #researchers organized by MCAA #Policy Working Group Chair @gauttiersteph
✔️Dont isolate yourselves, talk and discuss
✔️Institution should support #Researchers
✔️Evaluation process need to be institutionalized 4
Exciting day! 50 researchers joining forces to solve grand challenges. From humanities to STEM fields. @SnT_uni_lu @uni_lu @LegatoTeam @H2020Rainbow @LISERinLUX @LIST_Luxembourg @kallstenius @SPallage
Objectives of @uni_lu ‘Institute of Advanced Studies’ highlighted at today’s European Crucible event by Dr Philippe Delfosse - distinguished thinkers, audacious projects, brilliant ideas, young researchers! @ScotFundCouncil @StuartFanceySFC @stephanebordas
News
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February 25, 2021
Hichem Omrani: Predicting air pollution using remote sensing and sensors measurement
Machine Learning Seminar presentation Topic: Predicting air pollution using remote sensing and sensors measurement Speaker: Hichem Omrani, Luxembourg Institute of Socio-Economic Research (LISER) Time: Wednesday, 2021.03.03, 10:00 CET How to join: Please contact Jakub Lengiewicz Abstract: Air pollution is a
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February 22, 2021
Carlotta Montorsi: Tree based algorithms: implementing Conditional Inference Trees and Forest for old age Frailty Index predictions
Machine Learning Seminar presentation Topic: Tree based algorithms: implementing Conditional Inference Trees and Forest for old age Frailty Index predictions. Speaker: Carlotta Montorsi, Luxembourg Institute of Socio-Economic Research (LISER) Time: Wednesday, 2021.02.24, 12:00 CET How to join: Please contact Jakub Lengiewicz
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February 15, 2021
Minh Vu Chau: Data-driven constitutive laws for hyperelasticity modeling in eigenspace using algorithmic differentiation coupling FEniCS-Pytorch model: application to RVEs
Machine Learning Seminar presentation Topic: Data-driven constitutive laws for hyperelasticity modeling in eigenspace using algorithmic differentiation coupling FEniCS-Pytorch model: application to RVEs Speaker: Minh Vu Chau, FSTM, University of Luxembourg Time: Wednesday, 2021.02.17, 10:00 CET How to join: Please contact
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February 4, 2021
Zhiqiang Zhong: Reinforcement Learning based Meta-path Design for Heterogeneous Graph Neural Network
Machine Learning Seminar presentation Topic: Reinforcement Learning based Meta-path Design for Heterogeneous Graph Neural Network Speaker: Zhiqiang Zhong, FSTM, University of Luxembourg Time: Wednesday, 2021.02.10, 10:00 CET How to join: Please contact Jakub Lengiewicz Abstract: Heterogeneous Information Networks (HINs), involving
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January 31, 2021
Saurabh Deshpande & Milad Zeraatpisheh: Practical implementation session on Neural Networks
Machine Learning Seminar presentation Topic: Practical implementation session on Neural Networks Speaker: Saurabh Deshpande & Milad Zeraatpisheh, FSTM, University of Luxembourg Time: Wednesday, 2021.02.03, 10:00 CET How to join: Please contact Jakub Lengiewicz Abstract: We will create our own neural
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