Canada’s $9.6B pulp industry produces an ample supply of unusable organic pulp mill residues, yet there has been relatively limited utilization of this feedstock for the production of bio-crude through hydrothermal liquefaction (HTL) – a low-temperature, high-pressure thermolytic conversion process. The proposed research project will investigate HTL catalysts that produce abundant, high-quality, and low-cost bio-crude […]

The three Film students will research how to capture and package live performance in video format, how to make it appealing to a range of audiences and how to disseminate it cost effectively in the digital environment. The Business student will develop a sustainable business plan and marketing strategy for On Cue as it navigates […]

The insurance industry is a competitive sector that is expected to account for 3.1 percent of Canada’s Gross Domestic Product in 2021. Leading insurers are investigating how machine learning (ML) may enhance company operations and customer satisfaction as clients become more selective about personalizing their insurance purchases to their particular needs. AI chatbots have the […]

A series of pressure-volume-temperature (PVT) tests and large-scale physical experiments of the hybrid solvent-enhanced SAGD process will be carried out and simulated to better understand the process physics and bitumen recovery mechanisms, which will help Imperial make reliable predictions with the upscaling potential for quickly commercial field applications. This project will be conducted both in […]

Lytehorse has designed an electric, stand-up riding, all-terrain vehicle that is quiet and minimizes its ecological footprint. This sustainable and powerful mode of transportation has diverse applications attracting customers from military, recreational and other industrial fields. The team has already established a network to source parts, customize component manufacturing and is currently embarking on small […]

In today’s world, the video chat and conferencing has been a necessary part of overall routine life (both personal and work). Currently, the video chat and broadcast technologies require lots of bandwidth to transmit high quality data. In overall project, we aim to make video transmission data intelligent by using the state-of-the-art AI technology. This […]

This project strives to identify rare and severe contaminants found in residential curbside recycling. Using computer vision techniques and machine learning, cameras analyze contaminants as they are tipped into recycling trucks. Some of these contaminants are rare, however they can pose severe risks to operators and the general public. As these contaminants are not common, […]

CO2 geo-sequestration is an efficient approach to reduce CO2 emission and achieve zero carbon emission with minimum impact on economic growth and people’s wellbeing. This project focus on optimizing carbon utilization in heavy oil reservoirs and CO2 geo-sequestration in the underline saline aquaifer with three key objectives: optimizing CO2 injection in heavy oil reservoir to […]

Heavy oil (high viscosity oil) is trapped underground. Cold heavy oil production with sand (CHOPS) is an enabling technology to extract heavy oil through wormholes forming around wellbore. There are thousands of CHOPS wells in Saskatchewan and Alberta with low primary oil recovery. Cyclic solvent injection (CSI) enhanced oil recovery process stands out as one […]

Precision agriculture is adopting site-specific agriculture practices reducing farm inputs and increasing productivity. Site-specific agriculture requires information about every inch of the field. Provided the large farm holding of the Canadian Prairies, getting extensive information about the field is an uphill task. Currently, limited samples are taken from the field resulting in low spatial resolution. […]

This work aims to design and develop an efficient visual based vehicle re-identification system for International Road Dynamic. Vehicle re-identification, which is defined as: Identifying, classifying, and position-referencing a vehicle of interest through images/video streams collected via a network of camera stations, plays a key role towards developing intelligent transportation system.

This research work will establish a systematic workflow for analyzing transient equilibrium foamy oil phase behavior by coupling the m-CCEC tests, depletion rate and presence of water-in-oil emulsion from microscopic viewpoint which are seldom performed for heavy oil. It will provide a strong connection and comparison with previously studies which was conducted in the absence […]