IMAGE: A Computer-Aided Cognition Capability for Understanding Complex Systems

L’étudiant au doctorat participera à la réalisation d’un relevé des connaissances sur l’augmentation de la cognition, en particulier la compréhension de la complexité, à l’aide d’outils de visualisation, exploration et simulation. Il participera aux rencontres de développement et pourra formuler des recommandations quant aux aspects de la cognition humaine à prendre en considération. Une attention […]

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Capturing expert model in crisis management using SYnRGY

Les intervenants en situations de crise sont exposés à des environnements « extrêmes » qui poussent fréquemment leurs limites physiques et mentales au maximum de leur capacité. Toutefois, des études scientifiques démontrent qu’une charge de travail trop élevée est associée à une diminution de la performance des individus. Ainsi, ces environnements extrêmes sont propices aux […]

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Constrained Batch Estimation for Train Positioning with Inertial Sensors

Similar to current efforts in the automotive industry, there is a substantial interest in developing fully autonomous trains. One of the key steps towards enabling autonomous operation is being able to accurately estimate train position and speed. In addition to this, better estimates will also increase safety and reduce distance between trains, allowing more frequent […]

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Automatic Adjustment of Photometric Camera Parameters to Improve Visual Motion Estimation

Cameras are a fundamental component of modern robotic systems. As robots have become relied upon for safety-critical tasks, the need for robust sensing is apparent. Cameras have a major limitation, compared to other sensors such as LIDAR, in high-dynamic-range environments where lighting conditions rapidly change. These changes can cause visual navigation algorithms to struggle and, […]

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Research into Convolutional Neural Network (CNN) Explainability

Machine Learning is advancing at an astounding rate. It is powered by complex models such as deep neural networks (DNNs). These models have a wide range of real-world applications, in fields like Computer Vision, Natural Language Processing, Information Retrieval and others. But Machine Learning is not without some serious limitations and drawbacks. The most serious […]

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Optimal and heuristic optimization methods for large-scale naval refit operations

This project deals with the development of new mathematical models and solution methods to optimize naval surface ship refit operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent to small projects. Planning, scheduling, and executing NSWPPs are very challenging, […]

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Formulating and solving the multi-calendar resumable and non-resumable Naval Surface Ship Work Period Problem

This project deals with the development of a new mathematical model and a fast solution method to optimize the multi-calendar naval surface ship refit scheduling problem with resumable and non-resumable operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent […]

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Integration of socio-physiological sensors to estimate team functional state in mobile command and control

Teams in crisis management operate in uncertainty and time pressure conditions, which severely constrain team performance. Systems capable of detecting critical levels of cognitive functioning could help teams to adapt better to the situation they face by allowing an intelligent re-allocation of tasks across agents. Traditionally, adaptive systems are based on the operator behavioral response […]

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System on Chip for aerospace embedded equipment

The aeronautic and aerospace industries are exploring new approached to reduce the mass of cables, bulky electronic systems. This rationally leads onto aircraft weight reduction as well as the amount of CO2 and greenhouse gas emitted by aircrafts. To reduce the mass of cables, power harvesting technique could be utilized. In this approach, the energy […]

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