Pressure sensing during plastic injection molding is critical to the quality of manufactured consumer and commercial goods and need to be able to operate up to temperatures of 350°C and pressures up to 10,000 psi. In this case, pressure is measured using a membrane to infer displacement and depending on the conditions, the membrane may […]

Alzheimer’s disease (AD) is thought to be caused by accumulation of protein, called “beta-amyloid” in the brain. This protein has been shown to accumulate on the surfaces of brain cells, deforming and damaging their outer surface (called the lipid membrane). There is a major open question however: what factors make brain cells sensitive to beta-amyloid? […]

The proposed research will follow four steps within the scope of this Mitacs grant: 1. Collect data from existing sources, including the CACB, regarding Canadian Schools of Architecture statistics; 2. Find gaps in the data collection and seek out the missing data from Schools of Architecture and/or the partner organizations; 3. Collate the data as […]

Non-invasive imaging of hemodynamics is known to enhance screening and monitoring of cardiovascular diseases (a leading cause of death in Canada’s aging population), however clinicians lack an imaging tool that can visualize the complex 3D and dynamic nature of hemodynamics in real-time. To meet such clinical needs, this project will aim to devise the first […]

I am a student in the Masters of Architecture at the University of Waterloo. My thesis focuses on the repurposing of buildings and the cultural connections architecture can have to its local communities, in the context of rural Japan. Through the Mitacs Globalink JSPS summer program, I plan to conduct the fieldwork of my thesis, […]

In order to address issues with affordable housing, new innovative approaches to construction are being developed which require customized feedback using smart data solutions. This research aims to develop the necessary software and hardware configuration to enable designers to optimize their decision making in design, construction and operations of single-unit and multi-unit residential buildings. The […]

Deep neural networks have demonstrated state-of-the-art modeling accuracy on a wide range of real-life problems, with some cases surpassing human performance. Despite the promise of deep neural networks as an enabling technology for a large number of industries and fields, there are two particular key challenges in the design of deep neural networks in real-world, […]

The aim of this project is to develop a computer-based algorithm that will integrate a planning model with a scheduling model to improve operations management for analytical service facilities. An iterative decomposition algorithm that can provide optimal production scheduling sequences (in acceptable computational times) based on changes in the strategic planning decisions will be provided […]

Investors, regulators, and the general public consume a wealth of textual information every day. Recent advancements in artificial intelligence make machine-reading of textual information plausible. We tackle text mining of financial conference call transcripts—calls of significant corporate events that are widely followed by investors and institutional investors. Our conference calls data include over 200,000 calls […]

The Caribbean tourism sector is critically important to the Caribbean economy and highly sensitive to climate change and its impacts. Climate-sensitive industries are exploring how to make best use of outputs of climate models, weather forecasting tools and early warning systems as strategies to boost their viability as climate change intensifies. Tools such as these […]

The Ubiquitous Health Technology Lab (UbiLab) will explore the development of a data integration framework and recommendation for associated standards that aims at combining data from (1) smart home systems, (2) AAL or IoT for health technology, (3) mHealth, and (4) wearables. Important areas of data management will be explored, as for example security and […]

Electrospinning technique will be used as a new mixing method to disperse nanofillers into the epoxy base polymer in this project . The single-needle electrospinning scheme has been successfully used in the preparation of nanofilled silicone rubber composites. However,its low volume product has limited the industrial applications,so another electrospinning scheme will be investigated to scale […]