Improved Commentary Prediction on Financial Data

Companies rely on financial reports which are generated through various transactions such as sales and expenses to understand the discrepancies between actual performance and financial forecast. Accordingly, generating commentaries on financial data might be considered as a routine operation for many companies. The previous studies indicate that machine learning algorithms can be used to automate […]

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Remote Monitoring of Production Operations During COVID-19 using a Smart Gateway Device

Since the COVID-19 outbreak, social distancing became the most effective approach to guarantee safety. In manufacturing operations this has been achieved through a work from home policy for non-essential personnel and staggered shift operations for essential personnel. However, it is near impossible to track essential personnel compliance to social distancing as well as optimize production […]

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Real-time Optimization of Freshwater usage in Aquatic Facilities based on Occupancy and Water Quality data Using Machine Learning Methods.

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and […]

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Powder Functionality in Laser Powder-Bed Fusion of Ti-6Al-4V

This project aims at studying the powder characteristics in the laser powder-bed fusion of Ti-6Al-4V. As an additive manufacturing technique, the laser powder-bed fusion process produces metal objects layer-by-layer using a laser source. Ti-6Al-4V is being used in the aerospace industry because it offers high strength-to-weight ratio and outstanding corrosion resistance. This collaborative work between […]

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Deposition modeling, generalized process planning, and Design for Additive Manufacturing for fabrication of large scale and radial components by robotic large-scale additive manufacturing

Additive Manufacturing (AM), also known as 3D printing, uses computer-aided design to build objects layer by layer. AM enables complex designs with reduced component lead time, cost, material waste, energy usage and carbon footprint. Large scale robotic AM (> 1 m cubed) using wire arc welding is an emerging field offering scalability of AM to […]

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Intelligent Piezoelectric Transduction System for In-situ Health Monitoring of Concrete Elements

Concrete elements are extensively used in urban structures including high-rises, bridges, dams and tunnels, and testing their quality and monitoring their health is of extremely high importance in the industry. In this project, use of piezoelectric transducers along with wireless communication and memory elements is suggested to overcome the limitations with the current methods. Piezoelectric […]

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Development of polymer bonded / sintered permanent magnets for a wearable NMR sensor

SYNEX Medical, a Toronto based biotechnology startup has developed a non-invasive biomarker technology that comes in the form of a wearable ring enabling users to track concentration of different biomarkers in their blood. The device employs Nuclear Magnetic Resonance (NMR) technology to determine the concentration of different biomarkers. One fundamental instrumentation for this NMR based […]

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Development of the early immune response assay in saliva

The current coronavirus outbreak highlights the importance of point-of-care (POC) rapid screening tools to identify and understand COVID-19 spread within the population. As countries work on flattening the disease curve, it is anticipated that billions of COVID-19 tests will be required for the next 12-24 months. Also, it is widely understood that the next pandemic […]

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Polyamide-Based Triboelectric Nanogenerator for High Performance Energy Harvesting & Self Powered Sensing Applications

Fast development of more powerful and smaller mobile electronics suggested the need for development of sustainable energy resources as well as innovative sensor systems with improved accuracy and reduced power consumption. Moreover, utilizing appropriate sustainable energy resources would be beneficial for environmental protection. Such demands resulted in a great interest toward development of the triboelectric […]

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