I have recently developed a piece of software that can be used to interpret the effects of DNA sequence differences in human genomes. The analysis produces results that predict disease mutations. Dr. Rogan’s laboratory has developed approaches of visualizing DNA sequence data, which I will incorporate into this software. I will modify the existing visualization […]

Cross-laminated timber (CLT) is an engineered wood panel typically consisting of multiple layers of glued timber stacked in a cross-ply layup. Timber shows a strong anisotropic mechanical behavior due to its microstructure. With a cross lamination, the CLT possesses superior dimensional stability, strength and rigidity, in comparison to traditional wood products. In Canada, CLT is […]

Graphics Processing Units (GPUs) are increasingly used to accelerate applications and to reduce their energy use. GPUs are particularly attractive for mobile platforms, where battery life is important. However, GPUs are hard to use, requiring developers to apply optimizations to their code to realize the performance and energy benefits of GPUs–a tedious and error prone […]

The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.

Rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, we aim to develop new applications of deep learning […]

As a result of recent advances in high-throughput technologies, rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, […]

Feather pecking (FP) in egg-laying hens, where individuals peck repetitively and excessively at other birds to pull out and eat their feathers, is a challenge for the industry with large economic and welfare implications. High prevalence of FP is reported (60-80%) and this is associated with mortality rates of up to 20-40%, which translates to […]

Feather pecking (FP) in egg-laying hens, where individuals peck at other birds to pull out and eat their feathers, is a challenge for the sector with large economic and welfare implications. It is especially of concern in systems where birds are housed in large social groups as it is harder to control. With new policies […]

Capturing the impact of program performance on adolescent outcomes is an important way to understand the ways in which a program has best provided its services for optimal outcome success. However, there is limited literature on valid measurement of program success among arts-based educational programs. The project will undertake an outcome evaluation, which focuses on […]

Patients with posttraumatic stress disorder (PTSD) are characterized by decreased prefrontal cortex (PFC) regulation on hyperactive emotion generation regions, such as the amygdala. Real-time (rt)-fMRI neurofeedback allows for localized brain regions to be self-regulated through neuroimaging signal feedback. Recently within our lab, learning to decrease amygdala activation via neurofeedback was shown to normalize the neural […]

Financial markets today are monitored and controlled by artificial intelligent algorithms. Developing these artificial intelligent algorithms requires a large amount of testing against complex patterns and phenomena observed in stock market. The main objective of the proposed project is the development of a market simulator. This is highly challenging and yet promising direction that will […]

Patients with posttraumatic stress disorder (PTSD) are characterized by decreased prefrontal cortex (PFC) regulation on hyperactive emotion generation regions, such as the amygdala. Real-time (rt)-fMRI neurofeedback allows for localized brain regions to be self-regulated through neuroimaging signal feedback. Recently within our lab, learning to decrease amygdala activation via neurofeedback was shown to normalize the neural […]