Hybrid encryption and intrusion detection for an e-commerce database

The recent rapid growth of web-based applications and information systems has increased the risk exposure of databases and, thus, the security and protection of data from internal and external threats is more crucial than ever. Damage and misuse of data affect not only a single user or application, but may have disastrous consequences on an […]

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Data Markets for Blockchain-based Federated Learning in Health Care

Artificial intelligence (AI) is a promising technology for patient-centric health care, for example, to diagnose diseases, or to recommend therapies. However, deploying AI in health care is challenging. The creation of AI systems typically requires large amounts of data, but health data is kept private due to high privacy requirements. Furthermore, AI in health care […]

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AR Marine Visualization System

A sailor needs to obtain real-time information about the status of the sailboat and also derive an accurate approximation of the behaviour of the surrounding environment, in order to safely and successfully sail a boat. We also aim to investigate how providing vital knowledge using an immersive approach will affect the cognitive load on the […]

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Discover anomaly signatures from time series data of telecommunication networks

Failures in a telecommunication network harm the communication quality. Once happened, if the system cannot solve it by self-healing, such anomaly may even result in serious problem and result in massive economic loss. In this project, we will design and develop a system to predict these failures in advance using the status values of the […]

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Optimisation de l’ordonnancement des activités de projet en réfection de navires.

Thales développe un logiciel pouvant gérer les activités de projet en réfection de navires militaires. En particulier, ce logiciel permet d’ordonnancer les différentes tâches à accomplir, c’est-à-dire les positionner sur une ligne du temps. L’ordonnancement produit doit tenir compte de la disponibilité des ressources (main-d’œuvre, équipements, espaces de travail) tout en minimisant les heures supplémentaires […]

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Post-quantum cryptography for signing software on avionic systems

Avionics on modern aircraft are becoming complex computer systems supported by increasingly sophisticated software. These systems often require software upgrades that are performed during aircraft maintenance on the ground. In order to ensure the integrity of software upgrades and database updates, digital signature of the corresponding data files has been used as means to prevent […]

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Transfer Learning for precise detection of individual cells in multimodal microscopic image data

Automatic segmentation and detection of cells is a fundamental task in relevant medical fields such as histopathology, hematology, and cytopathology. Deep Learning methods show promising results, but often require excessive amounts of data, which is a major barrier to entry, especially for experimental cellular imaging data. This project aims to develop a state-of-the-art cell detection […]

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Automating sleep stage classification using Contactless BCG Sensor

It is estimated that 5.4 million Canadian adults have chronic sleep abnormalities. Symptoms are not visible to patients because they happen during the night. Hence, they remain undiagnosed. Besides, sleep abnormalities can cause different chronic health problems, that is sleep apnea, diabetes, stroke, brain injury, Parkinson’s disease, depression, and Alzheimer’s disease. Thus, measuring sleep behavior […]

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Automatic Species Identification in Underwater Environments

Knowledge of the geographic distribution and identification of species is essential for the conservation of biodiversity. With advances in technology and greater accessibility of equipment capable of recording underwater, it was possible to obtain data efficiently. However, it leads to an immense volume of information collected, which requires exhaustive manual processing that requires label, time […]

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Decryption Failures in a Quantum World

The development of scalable quantum computers threatens the secrecy of communication by breaking classical encryption schemes. In order to ensure long-term security in communication networks quantum-safe cryptography is currently being developed and evaluated in standardization competitions. A special property of many of the proposed cryptosystems is a low but non-zero probability of failure: An encrypted […]

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Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis

Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of […]

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Towards Developing an Artificial Intelligence-based System for Detection of Cyber Attacks in Modern Industrial Control Systems

Modern Industrial Control Systems (ICS) are increasingly getting connected to the Internet to facilitate operations. To ensure safety on the internet, the ICS communications are being encrypted. This poses a challenge for the traditional Intrusion Detection Systems that used to rely on visible messages and control data communication for detecting the presence of known attacks […]

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