In this project I will be working with Aalto university’s Marine Technology research group at the Aalto ice tank. The purpose of such an ice tank is to explore the function of arctic marine structures in pack ice conditions. For example, this could include structural testing of oil and gas facilities or model testing of […]

Recent progress on deep architectures has enabled efficient representation and learning of complex high dimensional probability distributions over rich sensory data. In particular, deep mixture models and deep generative models have emerged as the most powerful techniques for this task. The proposed research aims at addressing some of the fundamental questions in this field: What […]

This project will investigate the creation of an accessible digital platform that will serve as the basis for all future publications of PUBLIC as well as a model for similar organizations looking to make the transition from print to digital. Importnatly, this project centers dis/ability communities, methods, and methodologies. Not only will this research situate […]

Clusters are a geographically proximate group of inter-connected companies and associated institutions in a particular field, linked by commonalities and complementarities. They have long been recognized as motors of regional economic development. Numerous studies have found their positive influence on entrepreneurship and innovation compared to non-cluster regions. Indeed, there is an ample evidence explaining why […]

An electrochromic device alters its optical properties such as tint or colour through a voltage. They are currently used in car rear-view mirrors, smart windows, electrochromic displays and eyewear. Conventional electrochromic devices are built on glass, but future applications such as foldable displays demand mechanically flexible devices. Furthermore, to reduce manufacturing costs, materials that are […]

Airborne pathogens can easily and quickly spread respiratory diseases. Devices currently used for protection in hospitals, such as N95 respirators, rely only on filtration. Additionally, surgical masks have been increasingly used, although not effective against aerosols. This has been observed during past pandemics and epidemics of severe acute respiratory syndrome (SARS), swine flu, and Middle […]

This project examines how technology firms in both Oxfordshire and London, U.K. attract and retain migrants with skills in science, technology, engineering, and mathematics (STEM). U.K. technology firms greatly contribute to economic growth and innovation in the country. However, scholars, government officials, and employers are increasingly concerned that these contributions in the STEM sector will […]

Beef cattle play an important role in food production worldwide by making use of resources from which humans can derive little nutritional value to provide a nutrient-rich foodstuff containing protein, minerals and vitamins. However, greenhouse gases and ammonia that are produced by the cattle industry are associated with climate change. Producing nutritious beef that meets […]

In Montreal, pavement distresses are causing serious problem to the road network with more than half of the road considered in a bad and a very bad shape. Many pavement inspection methods are developed in order to inspect, detect, locate, and classify pavement distresses; however, these methods are not efficient in term of time, cost, […]

We seek to test the behaviour of candidate detectors for the proposed CASTOR space telescope. We are focused on the response to dim images, the behaviour when resetting portions of an image during exposure, and the behaviour when using multiple reads throughout an exposure to reduce the effect of random noise generated when reading the […]

Pattern analysis is the study of patterns in observed data. One important question in pattern analysis is to find and group similar objects together, e.g., those people with cardiovascular diseases among a set of volunteers willing to donate an organ. This frequently-encountered problem in the domain of data analysis is referred to as classification and […]

This project’s objective is to develop a capability to detect and describe anomalous situations in ground vehicle traffic. Anomalous situations are described as substantial/important changes from the traffic frequently observed for a particular route and/or time. In this sense, anomaly can be quantitatively measured by the degree of predictability of current traffic given historical observations. […]