Automatic Spondylolisthesis Grading

Approximately 5% of the population has a Spondylolisthesis (one of the lower vertebrae slips forward onto the bone directly beneath it). Non-invasive image-based assessment of this spinal structure is an increasing demand in healthcare service. However, the massive information embedded in the increasing large imaging scans has made manual inspection a lengthy and tedious task and observer dependent. The proposed research aims at a computer-aided spinal-scan assessment software toolkit facilitating the diagnosis of Spondylolisthesis.

Accelerate development of new technologies and applications for advanced water treatment

Global population growth, urbanization and changing climate patterns have increased the demand for potable water, wastewater reuse and value recovery from wastewater, and for remediation of industrial process water. Population growth also results in increased demand for the shipping of goods by ocean freight, with the associated risk of the transport of unwanted marine life from one location to another by the discharge of ballast water.

Accelerate development of new technologies and applications for advanced water treatment

Global population growth, urbanization and changing climate patterns have increased the demand for potable water, wastewater reuse and value recovery from wastewater, and for remediation of industrial process water. Population growth also results in increased demand for the shipping of goods by ocean freight, with the associated risk of the transport of unwanted marine life from one location to another by the discharge of ballast water.

Modelling and Experimental Validation of the Interaction of Multiple Mercury Arc Lamps in Ultraviolet (UV) Reactors

Trojan Technologies uses ultraviolet (UV) lamps in reactors to purify water. When multiple lamps in a reactor are active at once, light emitted by the various lamps can interact with neighbouring lamps, creating effects that are not well taken into account in current industrial lamp models. The goal of this project is to develop a more accurate model, which accounts for these phenomena, to better predict the distribution of UV light inside a reactor. To do this, we have developed a numerical model of the photon-plasma interactions, which agrees well with work found in the literature.

Development of a model for dynamic cyclone performance prediction

Global pollution emissions contribute to climate change and are damaging to health. In many industrial applications that produce particulate matter, devices such as cyclones are used to separate and capture the particles from the exhaust gas. However, these do not capture the very small, but hazardous, particles and so expensive and energy-intensive secondary systems have to be added to the process. The industrial partner is developing a novel dynamic cyclone separator that has rotating vanes which improve the particle separation efficiency and allow capture of the fine particles.

An innovative process for production of syngas (H2 and CO) for biojet synthesis through hydrothermal liquefaction of biomass/organic wastes followed by supercritical water gasification

This project aims to convert feedstocks to H2-rich syngas for FT biojet fuel synthesis by using a two-stage system. The first is a hydrothermal liquefaction (HTL) process, one of the most promising thermochemical pathways to liquefy solid biomass into liquid products including bio-crude with higher heating values and an aqueous product. The second is a gasification process using water in supercritical range (SCWG) and in the presence of a catalyst, during which the liquefied biomass (after separating out char and ash), from first stage can be transformed to clean and H2-rich syngas.

RESPOND (Resource Efficient Smart Packet Optical Network Design): A Novel Packet-Optical Design and Optimization Framework for Next Generation Networks

The focus of the project is to develop an packet-optical network resource optimization model that minimizes the total network cost across IP-optical platform while meeting the following requirements: (i) Offers full protection from any network node and link level failure. (ii) Ability to handle large scale networks and traffic demand (i.e., network scalability). (iii) Meets end-to-end latency requirement. (iv) Provides efficient link utilization across the packet-optical networks. (v) Ability to forecast network capacity augment requirement.

Carbon Materials Production and Utilization

Developed advanced carbonaceous materials from processed biomass is of interest for integration into a variety of high performance applications including, plastics, rubbers, adsorbents, and chemicals. Origin Materials has a patented process that converts waste biomass into 5-chloromethlyfurfural (CMF), furfural and hydrothermal carbon (HTC) as a by-product.

Functional Proteomics to Inform Targeted Therapy for Head and Neck Cancer

To ensure effective cancer treatment, it is vital to match the drug with the molecular characteristics of the patient’s tumor. This research project is focused on developing functional diagnostic assays that may be used eventually in the clinic to stratify patients for targeted therapies. The project will provide a unique opportunity for the interns to work with a clinician at the forefront of cancer treatment and scientists of a partner organization that is developing innovative tools to enable precision cancer medicine.

Setting risk margin for claims and premium liabilities in accordance with IFRS 17

This proposal deals with the pricing and risk management considerations of a property and casualty (P&C) insurance company. These considerations are within the context of a new accounting standard called IFRS 17, in which liabilities in insurance contracts will be measured prior to and during the exposure periods. We propose an implementable and accurate methodology, which is also compliant with the new standard in generating risk measures and margin adjustments.

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