The Future of Learning

Today’s technological advancements are changing job requirements and skills expectations at a rapid rate. Businesses are consistently striving to investigate these trends and prepare for upcoming “disruptions.” In terms of job automation, there are many barriers that people experience when trying to access learning platforms such as online learning tools and micro learning sessions, as […]

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Cultivating Ethos in the Tech Sector

The rapid development of technology and its ubiquitous integration with modern society has clarified for business and technology leaders the need for ethical conversations about the role technology can and should play in our lives. By interviewing primary stakeholders in the technology sector and putting their ideas in conversation with literature about the role of […]

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Delocalization excitation and radiation

This project is to investigate a subtle new mechanism by which particles can be produced. The new mechanism, which has first been proposed by the applicant and her supervisor, is expected to occur for well isolated, small quantum systems, such as single atoms, molecules or ions, which are left to evolve freely. When such quantum […]

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Thermally Compensated Fabry-Perot MEMS Pressure Sensor

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 […]

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Design of a next generation 3D ultrasound vector flow imaging tool

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 […]

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Digital twin framework for modular residential construction systems

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 […]

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Automatic Approach to Design Efficient Deep Neural Networks

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, […]

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Integration of planning and scheduling for an industrial-scale analytical services facility

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 […]

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Uncovering Soft Information from Stock Market Conference Calls: Asset Management Perspectives

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 […]

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