Multi-modal learning of human pose representation for conditional motion synthesis

The goal of the project is to generate realistic human movement in 3D animations. This is important to make movement animations in games and movies appear real. Typically, creating high quality animations is a resource and time consuming process that requires the participation of human actors in motion capture sessions. In this work, we present […]

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The World as Sacrament: the Eucharistic Ontology of Maximos Confessor

My proposed project consists in completing the final chapters of my doctoral dissertation: The World as Sacrament: The Eucharistic Ontology of Maximos Confessor. In essence, I argue that Maximos’ insistence that all things are created from God (ek theou) according to (kata) the Logos offers a powerful example of sacramental ontology – that is, a […]

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The effects of a nature-based mindfulness-compassion intervention for older adults delivered using virtual reality

Mental health problems in older adults (>65 years old) are becoming increasingly prevalent in Canada, with high rates of depression, anxiety, and social isolation found in long-term care facility residents. These psychological challenges are being exacerbated by the COVID-19 pandemic. There is thus a need for effective and innovative health strategies to help support older […]

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Improving Coordination between EngineeringDepartments through Process Mapping andAnalysis

The objective of the proposed project is to map all engineering processes involved in aeroelasticity calculations at Bombardier Aerospace and develop methods for holistic analysis and improvement of the aeroelasticity process, for the sake of performing better overall improvements and more realistic quantitative validations of those improvements. Existing methods and techniques for process mapping will […]

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Experimental and numerical evaluation of the electromagnetic, mechanical and thermal behaviour of Kimberlite under microwave irradiation

In an environment of high risk and competitive, the mining industry needs continuous innovation and productivity enhancement. One of the major issues with present hard rock deposits is the cyclic mining operation associated with the drill and blast method. Another major obstacle in the extraction and processing of such rocks is the relatively high wear […]

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Developing a protocol for single cell Hi-C sequencing in human post-mortem brain

The purpose of the proposed research travel is to co-develop a working protocol for high-throughput chromatin conformation capture (Hi-C) sequencing using human post-mortem brain tissue at the single-nucleus level. I will be traveling to the lab of Schahram Akbarian (MD, PhD) at the Icahn School of Medicine at Mount Sinai in New York City. Dr. […]

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Fichte’s Theory of Manifestation: Philosophy and Religion from 1804-1806

The project offers an original solution to the problem of the possibility of religious language as posed by Immanuel Kant. Using a method he called “transcendental,” Kant grounded the possibilities of knowledge in objects, rejecting Christian theology. Thinking religion today therefore means contending with the Kantian frame, either upholding its Enlightenment principles and rejecting the […]

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Hotspots of CO2 fluxes in the Southern Ocean

The Southern Ocean plays a pivotal role in the climate system by taking up and redistributing heat and carbon globally. This leading order role is attributed to the Southern Ocean’s unique circulation whereby deep waters are brought to the surface by a vigorous wind-driven upwelling. Since these deep waters are rich in dissolved inorganic carbon, […]

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Transfer Learning for precise detection of individual cells in multimodal microscopic image data

Automatic segmentation and detection of cells is a fundamental task in relevant medical fields such as histopathology, hematology, and cytopathology. Deep Learning methods show promising results, but often require excessive amounts of data, which is a major barrier to entry, especially for experimental cellular imaging data. This project aims to develop a state-of-the-art cell detection […]

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High-Precision Imitation Learning for Real-Time Robotic Control

In recent years, an increase in industrial robots in manufacturing has emerged. However, there are still possible safety issues and difficulty in specifying tasks for the robots to perform. The objective of this research project is to make a path planning system that uses demonstrations of how to perform a task to learn how to […]

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Low cost Microchip for Point of Care high Sensitive Assays

We have developed microfluidic polymer chips, and their associated reader for rapid differential diagnosis of disease states2. Each polymer chip is 2?2 cm2, and needs only 10 ?l of whole blood sample of the patient for diagnoses. The turnaround time from introducing the blood sample to get the results is 15-30 min. The chip contains […]

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