Data driven predictive control for geothermal heating-cooling system with standing column well

Geothermal energy is a promising source of renewable energy and is gradually gaining attention in application in building heating and cooling system. Standing column wells (SCW) are an efficient way of harnessing geothermal energy for such building applications. However, currently rule-based controllers are used for these geothermal heating-cooling systems with simplifying assumptions to avoid the […]

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Smart wireless power transfer system

In this project, a novel Wireless Power Transmission Integrated Circuit (“WPTIC”) system capable of simultaneous power transmission to multiple devices at varying power needs and distances, through objects of various materials and densities are going to be developed. This system can be obtained by an innovative circuits and antennas structure to model and control the […]

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Novel Linearization Techniques for Ultra-Broadband 5G Power Amplifiers

The realization of the upcoming 5th Generation of telecommunication standards (5G) requires ultra-broadband transceiver frontends that satisfy both power efficiency and linearity requirements. Since power amplifiers (PAs) are the most power-consuming blocks in these frontends, they are optimized to achieve higher efficiency, and hence lower operating cost and carbon footprint. However, high efficiency PAs suffer […]

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A Novel Passive Wireless Printed Circuit Board Cavity Sensor for the Measurement of Electric and Magnetic Fields

Increasing demand for more reliable electric power requires advanced monitoring systems that prevent equipment failure and outages. The existing technologies used for monitoring the voltage and the electric field in the vicinity of the high voltage devices are bulky and expensive. On the other hand, maintenance of the monitoring devices requires specific safety precautions. In […]

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An electrochemical microfluidic sensor for cannabinoid detection

Cannabis legalization creates a pressing need to improve existing screening methods. Currently, the two devices approved by the office other the attorney general of Canada (i.e. the Drager 5000 and SoToxa) have not been embraced by the vast majority of police forces who deemed both options unaffordable, difficult to use and inaccurate. The present project […]

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Predictive Models for Customers’ Engagement in a Small and Medium-Sized Enterprise’s Business Ecosystem Network

In the era of digitization, the success of an SME significantly depends on the active engagement with other actors (e.g., brand consumers, suppliers, influencers) in their business ecosystem. In this research project, we propose to develop an engagement model based on the business ecosystem network. These models will predict the customer engagement community association and […]

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Schedulability Analysis of Real-Time Systems Using Metaheuristic Search and Machine Learning

Schedulability analysis aims at determining whether task executions complete before their specified deadlines. It is an important activity in developing real-time systems. However, in practice, engineers have had difficulties applying existing techniques mainly because the working assumptions of existing methods are often not valid in their systems. Specifically, uncertainties in real-time systems and hybrid scheduling […]

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Novel Corrective and Training Procedures for Neural Network Compliance

In AI safety, compliance ensures that a model adheres to operational specifications at runtime to avoid adverse events for the end user. This proposal looks at obtaining model compliance in two ways: (i) applying corrective measures to a non-compliant Machine Learning (ML) model and (ii) ensuring compliance throughout the model’s training process. We aim to […]

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Deep learning-based illuminant estimation for mobile devices

Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a […]

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Design Energy Harvesting Circuit and its System-on-Chip Implementation

We have seen the acceleration of global warming in recent years. Green-energy powered electronic devices are more desirable. In this proposal, we propose to develop an energy harvesting circuit and implement it on a system-on-chip. The design goals are low-cost, user-friendly, and portable. By partnering with Hidaca Ltd., our ultimate goal is to have this […]

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Multiplexed POCT detection of inflammatory biomarkers for disease diagnosis and stratification

The local and global prevalence of infectious diseases require plenty of healthcare resources. Accurate and on-time diagnostic information is of critical value for appropriate patient treatment and healthcare resource management. Typically, single biomarker testing results are not sufficiently sensitive and specific to achieve the high accuracy of diagnosis and stratification. Testing multiple biomarkers (e.g. inflammatory […]

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