Scaling-up carbon fibre production from Alberta’s asphaltenes.

The proposed research project would focus on the development of high-value carbon fibers from low-value waste by-products, asphaltenes, for multifunctional applications. One part of the program would highlight the efforts to scale up the technology without deteriorating the process performance. The other part of the program would focus on working with North Forge in the […]

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Deep Learning for Mud Pulser Communications

Mud pulse telemetry is a widely used technology for measurement-while-drilling (MWD) in the oil and gas sector. MPT signals are used in real-time drilling application to provide insight about the pressure, temperature, drill bit direction and deviation, and transmit logging data about the surroundings to improve the reservoir drilling economic efficiency. It transmits signals using […]

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Assessing liquefaction of sandy soil: missing gaps (with Imperial Oil)

Oil sands tailings, a mixture of clay, sand, water and residual oil, is a by-product from the oil sands mining and extraction process in Alberta, Canada. This mixture is hydraulically transported and stored in engineered structures built with coarse sands separated from the oil sands tailings. The dimensions of these structures depend on the storage […]

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Assessing Implications of Structure-Property Relationship of Acid-stable Cyclicimidioximes on U(VI) sequestration from seawater

Uranium can generate energy efficiently and sustainably, resulting in its high demand due to increasing global energy demand. As a result, there has been significant interest in the search for materials to sequester uranium ions, U(VI), from seawater. Among the materials adopted, the amidoxime-based polymeric adsorbent has shown great promise, but not without challenges. During […]

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From Data Cleaning, Design and Migration to Portfolio Construction for Effective Recommendations and Decision Making in the Charity Domain.

Charity donations have long been a feature of society smoothing the differences between rich and poor. In the past these donations were handled manually using a variety of ah hoc means. This continuing project aims at systematizing the donation process by implementing an online system that facilitates the connection between donors and recipients, thus enabling […]

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Using Artificial Intelligence to Classify Interpersonal Skills

This MITACS BSI project represents a collaboration between Skillsetter.com (an online interpersonal skills training company and Partner Organization) and members of the University of Calgary’s Department of Computer Science (Professor Richard Zaho [Academic Supervisor] and Mohamad Elzhobi [PhD Student and Project Intern]) aimed at developing a machine learning model to classify aspects of judgmentalness from […]

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Hybrid Multifunctional 3D bioprinting systems

Successfully fabricating complex living tissue structures demands carefully designed tissue scaffolds that mimic complex native tissues, which 3D bioprinting aims to achieve by creating 3D mimics of natural tissues. The fabrication of functional 3D tissues is challenging due to the limitation of oxygen and nutrient transport to cells inside the printed scaffold. Among the numerous […]

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Programming Techniques for QUBO Compatible Processors II

The main problem this internship project explores is the selection, conversion, and encoding of mathematical models that pertain to the finance industry for processing on available types of analog optimization processors. This research investigation aims to develop new algorithms and code that take advantage of an analog optimization process which acts as an “oracle” for […]

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Regulation of T-type calcium channel activity by targeting channel trafficking – a novel approach for pain management Year two

Current therapies to manage pain either result in side effects or are insufficient and the associated medical costs and loss of work days come pose a tremendous socioeconomic burden. We recently showed that T-type channel activity is aberrantly regulated in inflammatory and neuropathic pain by the deubiquitinase USP5, and we have begun to explore this […]

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An NLP-based approach for Pipeline Monitoring and Leak Detection

Pipelines are an imperative part of the energy sector and have a substantial impact on the Canadian environment, and economy. The slightest mishap in pipelines can lead to devasting environmental impacts as well as huge financial consequences. Therefore, developing sound automated pipeline monitoring by leveraging artificial intelligence (AI) and machine learning (ML) for safe and […]

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Epilepsy Pre-Evaluation Space (EPES)

The aim of the EPES (Epilepsy Pre-Evaluation Space) is to create an immersive tool to better understand spatiotemporal phenomena inside epilepsy patients’ brains, by creating a 4D spatial-temporal visualization of electrical activity. Used for pre-surgical evaluation of epilepsy patients suited for surgical resection of the brain region, where seizures onset zone lies. EPES provides an […]

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