Organisation : Département Ingénierie
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News
Excellent Doctoral Thesis Awards 2022 in science
En savoir plusThe Doctoral School of Science and Engineering (DSSE) at the University of Luxembourg has recently awarded 13 doctoral candidates for their outstanding doctoral thesis. Their research covers a wide variety of topics, tackling important issues and providing innovative solutions. They now continue their career in both academia and industry.
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Events
Machine Learning Seminar meeting: Deep Learning Technologies for Natural Language Understanding
En savoir plusThese days it would not be an exaggeration to say that we live in a world where AI applications are taking over. What is sure that they are impressing the public more and more. Couple years ago, GANs impressed people for creating images which do not exist in reality. The culmination was Dalle2 project which…
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Events
Learning quantum fuzzy orbits from coherent data
En savoir plusIn this talk, the speaker will discuss a data-driven strategy parallel to quantum tomography. Thus, offering an alternative approach to the study of quantum dynamics directed at quantum computing, condensed matter, among other applications. Starting with time series data, possibly noisy, and a class of universal differential equations parameterised by feed-forward neural networks, the dynamical…
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Events
On Learning- and Optimization-based Methods for Risk-Averse Control of Autonomous Systems
En savoir plusFrom energy networks to space systems: complex Autonomous Systems (AS) have become pervasive in our society. In this context, the design of increasingly sophisticated methods for the modeling and control of AS is of utmost relevance, given that they regularly operate in uncertain and dynamic circumstances.On the one hand, to mitigate hazardous and possibly catastrophic…
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News
Research project on circular economy receives FNR grant
En savoir plusCircuRement (promote resource recoverability by aligning product designs with end-of-life process chains), a project carried out within the Department of Engineering, has received the FNR JUMP grant.
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Events
Machine Learning Seminar meeting: Statistical methods in observational Cosmology
En savoir plusAbstract:Modern Cosmology is now a data science. The large amount of cosmological models aiming at describing the evolution of structures in the Universe needs to be confronted with observations. To do so, it is common in this field to resort to Bayesian statistics, although fraught with many pitfalls of interpretation. In this presentation, I will…
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Events
Machine Learning Seminar meeting: How can we make tumour predictions when we do not understand everything?
En savoir plusAbstract:In clinical reality, the need of quantitative tumour growth and progression predictions is pivotal for designing individualised therapies. To achieve this a plethora of examinations is conducted to assess the tumour lesion state, spanning from blood sample analysis, clinical imaging (e.g., CT, MRI), biopsy sampling, -omics screening etc. Such medical data correspond to snapshots in time…
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Events
Machine Learning Seminar meeting: Concept-based explanations for convolutional neural networks
En savoir plusAbstract:Convolutional neural networks (CNNs) are increasingly being used in critical systems, where robustness and alignment are crucial. In this context, the field of explainable artificial intelligence has proposed the generation of high-level explanations of the prediction process of CNNs through concept extraction. While these methods can detect whether or not a concept is present in…
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