Le développement du tourisme à l’échelle d’une région fait intervenir un grand nombre d’organisations. Ces acteurs régionaux fonctionnement souvent en silo en raison de la nature de leur fonctionnement et leurs activités. À la demande du milieu, ce projet de recherche propose la conception d’une méthode de collaboration inter-organisationnelle basée sur le partage des données […]

The study of human body decomposition serves an important role in helping death investigators estimate the time since death, the context of the death, and postmortem movement of deceased individuals. Experimental submergence studies have helped distinguish decomposition effects of marine, freshwater, and laboratory-induced taphonomy from terrestrial contexts, but few actual cases of recovered human remains […]

Ce stage a pour objectif l’optimisation de l’algorithme d’analyse olfactive développé par Odotech. Une expertise poussée du domaine des mathématiques et plus particulièrement en statistique sont nécessaires à ce stage. C’est dans cette optique, qu’Odotech a offert un stage à un étudiant à la maîtrise en statistique du département de mathématique de l’Université de Montréal. […]

The topic of our research is to study how randomization is used to solve Byzantine Agreement problem in different computational models. Byzantine Agreement is a classic distributed computing problem, where processors try to agree on a value, but some of the processors try to disrupt the agreement or make sure that the algorithm never terminates. […]

Network intrusion detection systems play a crucial role in computer networks defense. However, most of the existing solutions do not take into account the time-evolving component of the attacks. Attackers are constantly changing the intrusion methods which becomes a serious threat and requires the development of adaptive methods that can cope with these modifications. Moreover, […]

Canada’s critical infrastructure (e.g., bridges, pipelines, and nuclear power plants) is deteriorating at a rate that far outpaces the ability to replace it. A recent analysis of Ontario’s transportation infrastructure alone indicates over $5.1B is needed to replace assets that have reached the end of their lifecycle. Justifying the finances required for replacement/repair is challenging […]

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment in 2021, as seen in the aftermath of the hugely impactful COP26 summit. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals […]

Standard cognitive assessments are normally administered over pen-and-paper or desktop computers. Although these tests are accessible, they are often administered by a trained professional to ensure protocol adherence, and shorter tasks are often repeated many times to mitigate the impact of anomalous trials. These considerations render the current practices costly and time-consuming. For this proposal, […]

Effective cloud deployment is a major challenge in the academic community. The rapid scalability and quick workload deployment benefits make it easy to overlook data security concerns and allow for runaway costs as a large workload can be provisioned that is difficult to manage effectively. This challenge presents an opportunity to develop reusable solutions to […]

This project consist in researching and implementing a set of algorithms to do semantic classification of short texts in social networks. The classification task consists in identifying relevant posts from social network in a specific context .Calculating the relevance of a posts is a difficult task that can be solved using semantic analysis. The goal […]

Network attacks are becoming more complex every day. It is crucial that we use tools that can detect these sophisticated attacks on networks so that we can identify malicious behavior and prevent attacks and intrusions. The use of machine learning to create intrusion detection engines is great, and we need enough data to train these […]

This project will use state-of-the-art advancements in artificial intelligence in order to automate and enhance the creation of virtual environments in virtual and augmented reality. By building upon previous successes incorporating artificial intelligence into the creation of 2D environments to enhance and guide the algorithmic generation process. By allowing the incorporated AI to respond and […]