La biodiversité apporte à l’humanité une grande quantité de services écosystémiques essentiels à la vie sur terre qu’il convient de protéger. Pour le stage proposé à Léonie Kilani Joli, nous nous intéresserons à l’étude de l’avifaune à partir d’une plateforme multimodale de caméras et de microphones connectés pour détecter la présence d’oiseaux, classifier les espèces […]

CAE est un leader mondial dans la formation de professionnels en aviation civile, défense et sécurité et en santé à travers des solutions numériques immersives. Pour ces applications, CAE doit générer des images de haute qualité en temps réel. Un des défis lors de la génération des images est les erreurs de crénelage qui sont […]

L’ordonnancement des retraits d’équipements électriques de transport est un défi auquel de nombreuses compagnies oeuvrant dans le domaine de l’énergie doivent faire face. En effet, chaque équipement de transport (p.e., une ligne de transmission) s’use avec le temps et doit, durant son cycle de vie, être maintenu pour s’assurer de son bon fonctionnement. Une fois […]

In the last 30 years, the theory of optimal transportation has emerged as a fertile field of inquiry, and a diverse tool for exploring applications within and beyond mathematics, in such diverse fields as economics, meteorology, geometry and engineering. More recently, it has empowers today’s machine learning research and become one of the most emerging […]

In many real world problems, the design process involves iterative steps with generation of candidates and evaluation of these generated candidates to evaluate their utility for the relevant task. This evaluation can be done with say expensive wet lab experiments or some computational oracles. We might want to make the best use of both of […]

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, […]

This project aims to provide a framework to quantify the interactivity between human drivers in traffic, which could be used to design the decision-making policy for socially-compatible autonomous vehicles. Toward this end, we develop a conditional behavior prediction module based on Gaussian mixture models to jointly capture the dependency of one agent’s reactions on the […]

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 […]

My project is related to machine learning and robotics. A brief description of my project is the following: a robot comes into a room and takes snapshots of this room. Then the algorithm will make different digital representations of the room and store them in the database. After that, the robot can make photos of […]

Ergonomic Work Analysis (EAW) includes analysis of demands, observations, and analysis of planned and executed tasks. The EAW requires the measurement of the loads to which workers are exposed through ergonomic tools and the construction of action plans to adapt the working condition in a way that respects the human being. Considering the Canadian Center […]

The placement project will investigate the use of machine learning for modelling and control of an offshore wind powered direct air capture (DAC) system. DAC remove carbon dioxide (CO2) from the atmosphere which is injected into deep-sea reservoirs and are a key negative emission technology, which are becoming increasingly vital as a climate change mitigation […]

This project will explore how Toronto’s planning regulations, real estate market and urban form influence the feasibility of urban redevelopment within the city. The expected results will contribute to society and industry through the creation of 3D spatial decision support system as one of the key deliverables. This tool will help inform stakeholders of the […]