Malicious Traffic Predictive Indicators in Content Delivery Networks: a Big Data Analytics Approach

Content Delivery Networks (CDNs) represent the up-to-date standard to transfer data through on-growing Internet. They are designed to manage traffic streams to avoid network problems. Despite the fact that CDNs attempt to satisfy security requirements (authentication, data privacy and integrity), they face rising innovative threats, observable in the cyber-space. The main objective of this project […]

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Freeze-drying of antibiotic vials: monitoring and optimizing process trajectories on an industrial scale

There has been an increased use of freeze-drying in the pharmaceutical industry over the past few decades. This step converts a liquid product into a solid one without compromising its integrity, thus prolonging its shelf life. The monitoring and optimization of this process is commonly done by trial-and-error, leading to product quality control issues. Therefore, […]

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Multi-agent Quadrotor Control and Distributed Intelligence in GPS Denied Environments

Networks are ubiquitous in our world. In broad terms, a networked control system consists of sensors, actuators and controllers interconnected and coordinated through a communication network. Networked control with distributed intelligence can open new directions in the industry of robotic entertainment allowing for pursuer-evader games to be played with multiple robots. The research proposed here […]

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Towards personalized surgical spine reconstruction post tumour resection

We aim to develop tools to assess patient outcomes following treatment and removal of bone metastases. We will identify markers for enhanced patient outcomes, so as to predict which patients may benefit from more aggressive treatments to better their quality of life. We also aim to use 3D printed bone implants to help in the […]

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Developing metabarcoding approaches to describe the fish diversity within a diversity of aquatic habitats

Evaluating the impact of multiple stressors on aquatic ecosystems often requires robust biodiversity estimates. Traditional methods for sampling fish communities are very costly, may have a significant share of inaccuracy and require specialized taxonomic expertise and have numerous other inherent limitations. The general objective of our proposed project is: • to develop and validate genomic […]

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Analysis of the implementation of a Model-Based Systems Engineering approach for the conceptual design of advanced aircraft high-lift system architectures

Today, the development of complex products such as aircraft systems is still mainly based on a paper-based requirements and development process which leads to delays, cost overrun and sometimes failure to respond to customer needs. A structured, model-based design approach is considered promising to bring innovation and optimization in systems architectures. The project aims to […]

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Development of a method using immuno-Raman for the simultaneous imaging of 15 biomarkers for immunotherapy of breast cancer.

We propose a novel approach that will provide researchers with an improved method to study multiple molecules, simultaneously in the same tissue section. Our strategy is to use novel nanoparticles that each emit unique multispectral signature and can be used simultaneously. We aim to develop a novel method to detect 15 breast cancer and immunotherapy-related […]

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