Processus d’amélioration continue dans les mines

Durant les années où les prix des métaux ont permis une hausse des revenus pour les minières, ces dernières ont constaté que cette hausse ne s’est pas traduite par des profits substantiels pour les investisseurs. Ce constat a amené les minières à réfléchir à leur mode opérationnel et à développer un processus d’amélioration continue inspiré […]

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Comprehensive study of VCSEL-MMF coupling techniques

Vertical cavity surface emitting lasers (VCSELs) are in high demand in short-reach optical interconnects. Reflex Photonics is a leading company in developing VCSEL-based optical transceivers for the harsh environments. So far, the speeds up to 12.5 Gb/s for a reach of 100 m have been achieved. One of the key bottleneck in developing rugged transceivers […]

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RLCapture: A deep reinforcement learning based control strategy forswitching between motion capture inspired controllers.

Making robots walk and balance as well as humans is extremely difficult. New techniques involving machine learning have shown promise in getting robots to mimic the movements of humans recorded using motion capture technology widely used for videogames and movies. While these techniques show promise, they are still in development, and have difficulty switching between […]

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Secrecy enhancement of linear and non-linear multihop relaying networks

The deployment of WSN in various field actually boost the quality of our daily life. Unfortunately, with the increasingly exponential growth of devices and vulnerability of wireless transmission being exposed to the air, secure transmission of WSN has drawn plenty of attention both in the community of communication and signal processing. For the sake of […]

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Elaboration of a Phase II clinical study protocol for the treatment of metastatic non-small cell lung cancer (NSCLC) using AB-16B5, an epithelial to mesenchymal transition (EMT) inhibitor, in combination with docetaxel

The molecular mechanisms responsible for the occurrence of metastatic cancer are beginning to be elucidated with the identification of key regulators. Increasing evidence points to tumor cell epithelial to mesenchymal transition (EMT) as an important contributing process to metastatic evolution. The identification of factors that are stimulated during EMT might provide the means to develop […]

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Methane CPOX: catalyst improvement for a micro refinery unit

Participating to the Mitacs Globalink program will give me the chance to carry on research at TUM, joing the research group at the Lehrstuhl fur Technische Chemie II. I will work under the supervision of Prof. Johannes Lercher and I will learn how to combine advanced physicochemical methods to characterize the methane reaction on surfaces […]

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LAFORGE: Log Analytics For Operational Intelligence

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At […]

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Clustering Generating Mechanisms in a Mixture of Additive Noise Models

Pattern analysis is the study of patterns in observed data. One important question in pattern analysis is to find and group similar objects together, e.g., those people with cardiovascular diseases among a set of volunteers willing to donate an organ. This frequently-encountered problem in the domain of data analysis is referred to as classification and […]

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Méthodologie d’identification des facteurs et schémas responsables de la baisse de productivité

À l’ère de ‘l’industrie 4.0’ qui prône le numérique et la connectivité, la gestion et l’exploitation des connaissances fournissent un avantage significatif dans un contexte manufacturier toujours plus concurrentiel. Cela permet le transfert de connaissances, la formation, la résolution de problèmes complexes ainsi que la prédiction de phénomènes. Les données de production peuvent provenir de […]

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Anomaly Detection in Land Vehicle Traffic Activity

This project’s objective is to develop a capability to detect and describe anomalous situations in ground vehicle traffic. Anomalous situations are described as substantial/important changes from the traffic frequently observed for a particular route and/or time. In this sense, anomaly can be quantitatively measured by the degree of predictability of current traffic given historical observations. […]

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L’espace public et le transport en commun à travers les yeux des adolescentes vivant dans les quartiers périphériques du Mexique

Partant des concepts de droit à la ville (Lefebre, 1968) et de justice spatiale (Soja 2010), cette étude considère les espaces publics (Paquot, 2015) comme une ressource urbaine, indispensable à l’utilisation du transport en commun (TC). Les adolescentes sont confrontées à l’exclusion, en particulier dans les villes du Sud: les filles sont responsables des tâches […]

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