Le projet GausLight Splatting vise à mettre au point une nouvelle façon de transformer les données recueillies par des capteurs laser 3D (appelés LiDAR) en modèles numériques réalistes et faciles à explorer. Ces capteurs produisent des nuages de points, un peu comme des milliards de petites coordonnées dans l’espace, qui sont très précis mais difficiles […]

Disruptive antenna technologies are required to provide performance and fabrication advantages in developing broadband wireless application products in emerging upper microwave and millimeterwave radio bands. The internship will investigate the feasibility of applying Polymer-based Dielectric Resonator Antenna (PRA), technology developed at the University of Saskatchewan, to commercial antenna array applications

Using geographic information systems (GIS) software and existing radiometric thermal orthomosaics, automate the process of identifiying and locating areas of cold water refugia in salmon-bearing streams and rivers in BC.

The proposed project seeks to develop biocomposite technology and products for the auto manufacturing industries. Five graduate students under the supervision of Dr.Mohini Sain, will work on manufacturing processes, mechanical characterization, composite rheology and development of molds for various types of bio-composites which have direct application in auto-industries and can act as substitute for fossil […]

The proposed geological research project is collaboration between UBC and industry sponsors to evaluate the nature of metallic resources in NW Turkey. Undeveloped concentrations of gold, silver and copper occur in the study region; these occurrences are being actively explored by the partner organizations. In the interest of the partner companies this research project focuses […]

The Beaufort Gyre (BG) is the largest freshwater reservoir in the Arctic Ocean. It is climatologically anticyclonic and governed by the Beaufort High. Its dynamics have a profound impact on the general circulation, and the possible release of freshwater has significant climate implications. The equilibrium state of the BG has been proposed to be governed […]

Within the horticultural industry, plastic containers continue to dominate as the industry is reported to generate around 500 million plastic plant containers and seed trays annually [5]. StatsCan reports that more than 45 million nursery trees and plants were produced in containers in Canada for the 2024 period [6]. Natures Affinity Inc. (NAI) (www.naturesaffinity.ca) is […]

Le projet cherche à améliorer l’exploration en profondeur du sol grâce aux méthodes sismiques en géophysique. Il combine deux méthodes dites ‘”actives”, la sismique réfraction et la méthode d’analyse des ondes de surface (MASW) avec une méthode dite “passive”, qui capte les vibrations naturelles du sol. L’objectif est de mieux détecter les couches profondes, souvent […]

This project aims to develop a physics-guided deep learning framework that can be used to further enhance the robustness of surface reflectance forecasting in Planet Fusion. We want to improve and refine existing temporal-driven gap-filling techniques in handling extensive cloud cover and dynamic land changes to avoid delays and reduced reliability of delivered insights to […]

The Bay of Quinte, a Z-shaped embayment at the northeastern end of Lake Ontario, represents a characteristic case, where scientific uncertainty underlies the current management efforts to integrate environmental concerns with socioeconomic values. The proposed project aims to develop a methodological tool that can be easily engaged with the policy practice of adaptive management and […]

The Bay of Quinte, a Z-shaped embayment at the northeastern end of Lake Ontario, represents a characteristic case, where scientific uncertainty underlies the current management efforts to integrate environmental concerns with socioeconomic values. The proposed project aims to develop a methodological tool that can be easily engaged with the policy practice of adaptive management and […]

This project proposes a completely novel workflow to automate the detection and quantification of bioturbation (i.e., biological sediment mixing by infaunal organisms) in deep-ocean sediment cores using the proven capabilities of neural networks in complex image interpretation. The new technique will enable precise, objective, and efficient quantification and identification of bioturbation types caused by infaunal […]