Current silicon photovoltaic solar panels are mostly produced from refined silicon, which must be of a required purity that is acquired through energy intensive and costly processes. Our industry partner, Ubiquity Solar Inc. is developing manufacturing process which will ultimately require less energy and cost and will also produce silicon of high purity with a […]

User-authored annotations of data visualizations can support analysts in the activity of sense making, where it is not only critical to document observations and hypotheses, but also to communicate insights between analysts. As the size and complexity of data grow, so does the diversity of annotations. We propose to develop a visualization system that allows […]

The aim of the project is to increase the intelligence of an automated, online tutoring system, using state-of-the-art techniques and concepts from cognitive science and computer science. This will be accomplished by integrating more data about each learner, and by implementing a more advanced model able to predict learner behaviour. The improved system will better […]

The intern will undertake research and development activities related to a novel functional electrical stimulation (FES) device called the MyndMove stimulator. Activities are intended to improve the electrical output of the MyndMove to deliver controlled and painless electrical stimulation to patients for a variety of applications, such as mobility, pain management and treatment of pressure […]

The objective is to develop a real-time fraud detection algorithm for a large E-commerce company based on construction of a robust reference model from normal multivariate data. To accomplish this, we propose to leverage machine learning techniques, such as reinforcement learning, in combination with stochastic modeling techniques such as Hidden Markov Models, to provide both […]

The overall objective of this project is to scale up and demonstrate the utility of novel bioaugmentation cultures for BTEX compounds, and associated diagnostic tools to properly deploy the technology. The intern will lead the project team to develop gene-based biomarker tools applicable to the bioaugmentation cultures and apply these tools to samples submitted from […]

Mesenchymal stromal / “stem” cells (MSCs) are found in adult tissues such as bone marrow and fat and also in neonatal tissues such as the placenta and umbilical cord. Among these sources, Human Umbilical Cord PeriVascular Cells (HUCPVCs) are the richest source of MSCs described. Importantly, they possess immunomodulatory and immuneprivileged properties which enable them […]

Patients who suffer from severe burns require immediate wound closure to ensure survival and facilitate healing. The current gold standard in surgical practice is the use of split-surface autographs, allographs, or skin substitutes, but limitation range from the lack of layered tissue organization, the potential for immunological rejection, and the need for high quantities of […]

The goal of neurosurgery are two folds, 1) to achieve maximal resection of the target lesions, but simultaneously 2) minimize damage to adjacent healthy brain tissues. Currently surgeons rely on preoperative images such as Magnetic Resonance Imaging to define tumor boundaries. However, the accuracy of such images decreases intraoperatively due to brain shift. For these […]

The WHO defines health as “a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity”. The holistic nature of this definition provides the basis for an all-encompassing evaluation of health, which is the guiding principle behind health impact assessment (HIA). An emerging area of public concern in […]

Optimizing a program for Graphics Processing Units (GPUs) is critical for performance, yet remains a challenge due to the non-intuitive interactions among the optimizations and the GPU architecture. Automatic optimization tuning for a GPU is demanding particularly given the exploding number of mobile GPU variants in the market. We explore the use of machine learning […]

Item-to-item and user-to-item recommendations are prevalent on most ecommerce websites and digital content related mobile applications. At Kobo, we strive to constantly improve our recommendation system, which is based on co-purchase patterns on Kobo’s website or through Kobo eReaders and mobile apps. This internship is to explore improving the system along several dimensions: incorporating additional […]