Currently, mine water treatment systems within the Sydney Coalfield extract and treat mine water from depth with the aim to gradually ‘flush’ the mine pools of its acid-generating products and achieve good water quality over the long-term. However, since the deep, lower quality mine water is always being treated, significant annual operational costs (>$1 million) […]

Voltage instability is one of the major causes of many blackouts such as Canada-United State blackout (2003), Sweden-Denmark blackout (2003), India blackout (2012), and Turkey blackout (2015). If reliable methods are available for online voltage stability assessment, operators can be warned and automated corrective actions can be initiated to prevent voltage collapse. Although, a large […]

Sarcopenia is a disease characterized by the decline of skeletal muscle mass, muscle strength, and physical performance. To gain a better understanding of this disease and to assess both functional and anatomical effects of sarcopenia, experimental and modeling data have been collected. The neuromuscular models developed in our team and the studies built on them […]

The recovery of facial mimics for patients with facial paralysis allows to improve their living conditions and social identity. Functional rehabilitation of facial disorders is also an important clinical step to improve the quality of surgical interventions and drug therapies. However, the recovery and rehabilitation of facial mimics and expressiveness remains a major scientific and […]

Battery technologies are urgently needed for emerging high-tech applications, such as medical implants, wireless sensors, wireless devices. These new devices have very limited space and require high reliability, and therefore demand the batteries could provide high energy per volume and high safety. Current Li-ion batteries cannot meet this demand due to its relatively low energy […]

This project consists in implementing a numerical tool that will be able to evaluate the viscoelastic behavior of textile composites. The first step will be devoted to adapt the numerical tools to adapt them to industrial requirements and preferences. Then, the tool will be validated with the help of the operational knowledge of the industrial […]

The vernacular architectures in different areas exhibit strong cultural and technological similarities and differences simultaneously. The cultural and artistic value of these vernacular architectures highly depends on the relevant architectural tradition and applicable construction technics. In the process of construction, vernacular architectures have gradually formed a building model optimally adapted to the climatic and environmental […]

The use of polyethylene (PE) plastic pipes for transporting gas and water has increased over the last few decades. The quality assessment and overall safety of the PE pipe networks have been of high priority for the distribution companies. The existing technology is somewhat complicated to use quickly and effectively by less experienced personnel. The […]

In my project I will study the effect of short-term uncertainty on the PPP sewage treatment revenue. Through my research, I want to give answers to following questions: Why actual revenue deviates from estimated revenue? Does the existing model properly simulate the stochastic process of PPP revenue? and How does short-term uncertainty influence the PPP […]

Thermal analysis is performed on a proposed design change on electronic assembly to ensure that it meets customer requirements (temperature ranges) and is a more cost-effective design. Such design change should be cost efficient. The important aspect, in addition to the design, is interacting with different engineers at different positions in the company. Working with […]

Electronic assemblies are used to control various systems in an aircraft. Under normal operating conditions, these undergo vibration, and therefore have an expected life span. Different designs are analyzed to reduce production cost, and these designs must ensure that the electronic components contained within the hardware can tolerate the same operating conditions without failure. With […]

L’un des défis majeurs dans le domaine de l’intelligence artificielle est la disponibilité de larges banques de données utilisables pour entraîner les différents types de modèles. Les « Generative Aversarial Networks » (GANs) sont des algorithmes d’intelligence artificielle récemment développés qui permettent de générer des exemples échantillons d’apprentissage pour divers algorithmes d’intelligence artificielle dans des […]