The overall aim of the research is to develop a decision support system to quickly estimate the oil outflow from a damaged tanker in a collision or grounding accident, in Arctic conditions. The work in this project focuses on modeling the accidental damage size for representative tankers operating in the Canadian Arctic, when these experience […]

Recently damage of existing harbor structures is expected due to increase of external wave force by the climate change. For this reason, reinforcement of existing structures is proceeding in order to preemptively prevent disasters, and breakwater is mainly targeted. If the breakwater is not well designed, it will cause the severe damage of the structure. […]

Estimates of the population density of marine mammals in an area and the change in population over space and time are critical inputs for managing the interactions of human activity and mammal populations. Visual surveys from boats, shore stations, and aircraft have served as the basis for most population estimates currently used by managers. However, […]

Underwater acoustic propagation modeling was largely advanced by the world’s Navies from WWII until the early 2000’s. Growing evidence of the effects of sounds from human activities on marine life has made propagation modeling relevant to a much broader community including marine biologists, ecologists, regulators and environmental non-governmental organizations. In this project we aim to […]

En 2019, environ 200 000 Canadiens seront diagnostiqués d’un cancer. La moitié de ces patients seront traités par radiothérapie. Si l’objectif est de maximiser l’irradiation de la tumeur et minimiser l’impact sur les organes sains environnants, des erreurs pouvant avoir des conséquences désastreuses se produisent. Actuellement, aucune vérification en temps réel de la dose radioactive […]

The proposed internships aim at investigating the relevance of deep learning (DL) techniques for target detection in radar data processing. More specifically, we are looking to demonstrate the feasibility of DL techniques to deal with unusual types of data (i.e., radar data) in situations where an well performing processing with classical techniques is a challenge […]

In this project, we would model the underwater acoustic behavior. Using the model, we will calculate the distance to the source of the sound with high accuracy despite the underwater environmental conditions. The second part of our project is to classify the source producing the sound. Our algorithm will be able to detect and distinguish […]

This project aims to combine two different sources on merchant ship movement, AIS and satellite images. AIS data is emitted by every merchant ship above a certain size, which allows the ship to be tracked from the coastline. The goal of this project is to use both these sources of data to train an automated […]

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 […]

This project uses a marine simulator to investigate how different ship capabilities and configurations affects how well sea ice can be managed. The experiment looks at how changing various aspects of the ship (e.g. thruster power, ice class, propulsion system) affects how well the ship captain can perform the ice clearing operations. The project uses […]

While technologies exist for cleaning up marine oil spills, they become decreasingly effective with increased lag-time between spill and initiation of remediation efforts. Rapid-deploy chemicals could potentially reduce the spreading of marine oil spills, increasing the time available for teams to clean it up. The hybrid spill-treating agents (STAs) under development by BC Research Inc. […]

The aim of this project is to propose an improved mobile-based localization scheme by considering a practical factor (i.e., ship-motion) in Underwater Acoustic Sensor Networks (UASNs). In the last decade, localization techniques associated with UASNs have been widely studied as a method to provide fundamental support for many location-based applications. In particular, mobile beacon-based localization […]