Caractérisation du rôle de la protéine précoce immédiate 1 dans l’intégration chromosomique des herpèsvirus humains de type 6A/B

L’herpèsvirus humain 6B (HHV-6B), virus de la roséole, infecte près de 95% de la population avant l’âge de deux ans. Il est connu qu’HHV-6B intègre son matériel génétique aux télomères de la cellule qu’il infecte, régions des chromosomes qui contrôlent la durée de vie des cellules. Il est anticipé qu’une insertion d’HHV-6B à cet endroit […]

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Étude computationnelle sur l’Interface solide-solide entre différents électrolytes solides pour le développement de nouvelles batteries Li-ion

Mon projet consiste à explorer l’interface entre électrode et électrolyte solide pour le développement des batteries lithium-ion tout solide en utilisant la DFT (chimie computationnelle). La batterie aux ions lithium est le système de stockage d’énergie le plus prometteur qui puisse être couplé aux énergies renouvelables. Néanmoins, la présence de solvants inflammables dans l’électrolyte liquide […]

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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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