Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and […]

At this juncture, much data on tourism in Kingston has been collected. However, no appropriate statistical method and analysis has been implemented yet to understand these data. The current project thus aims to create a benchmark for tourism data for Kingston by adopting various modelling techniques (e.g., Hierarchical Linear Modelling (Gelman, 2007), Multilevel Modeling (Green […]

Finite Element Analysis (FEA) breaks object components into numerical finite elements and calculate their performance individually. As long as the finite element is small enough, the performance of the entire part can be simply obtained by adding up all the performances of finite elements. However, the giant number of finite elements in 3D models makes […]

Internet of Things (IOT) enabled communication devices have become a ubiquitous commodity in the smart metering solutions world for the purposes of “getting the data off the meter”. Many of these devices have little to no measurable security, aside from the infamous “security through obscurity” which we can no longer rely on, as the average […]

Current methods for concentrating (removing water from) food and drinks for their transportation and/or storage rely on thermal or ultraviolet processing that is ultimately detrimental to the food product. This research proposes a novel method to remove the water that is based on forward osmosis, which solely depends on the ability of the draw solution […]

Feather pecking (FP) in egg-laying hens, where individuals peck at other birds to pull out and eat their feathers, is a challenge for the sector with large economic and welfare implications. It is especially of concern in systems where birds are housed in large social groups as it is harder to control. With new policies […]

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, […]

Structural steel plate products such as buried bridges, culverts, and pipes, are entering states of distress. Present day, little is known about the severity of the different deterioration mechanisms occurring in these structures and even less is known on how rehabilitate them accordingly. The following proposed research project will investigate the deterioration and rehabilitation of […]

Smart wearable biomedical technology has a wide range of application in health monitoring during life activities or in traumatic situations. This technology can provide a practical and convenient solution for continuous health monitoring of elderlies, and patients suffering from different types of dementia like Alzheimer’s Disease. Additionally, the technology can facilitate trauma medicine by providing […]

The manufacturing of high-performance graphene/polymer nanocomposites relies on both the production of high-quality and low-cost graphene sheets and the fine dispersion of graphene in the nanocomposites. The commercial graphene materials in large quantity are typically GnPs with several to tens or even hundreds of graphene layers whose properties are inferior to monolayer graphene. In the […]

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. This research project will examine the high-quality HTC by-product […]

Image denoising is a fundamental process in most of computer vision systems, imaging systems, and photography productions. Recently, with the power of deep neural networks, image denoising has been pushed towards new boundaries. However, neural network image denoisers are constrained by the accuracy of the noise model used to train them. Training on a poor […]