It is extremely challenging for clinicians and health researchers to extract insights from unstructured text data at scale. Recently, there has been a significant advancement in Natural Language Processing. Large deep-learning models, most famous of which are the transformers, generate pre-trained embeddings and are developed to extract insights from massive amounts of text. This project […]

Rapid growth of cryptocurrencies has drawn the attention of practitioners, regulators, and scholars. The trading venues for these digital assets display a number of features that make them a sui generis laboratory for studying price formation and market efficiency. One notable feature of cryptocurrency is high and strongly time-varying yields, whether measured by APRs offered […]

Deep reinforcement learning has achieved great successes in recent years. One of the primary challenges faced by such methods is the high cost involved in training a system that demonstrates the desired competency and performance. This project aims to study and compare the available techniques for improving the training efficiency and effectiveness of reinforcement learning […]

Solid State of Mind uses automatic methods to adjust the details of the architectures and learning methods (i.e., hyperparameters) for some of its algorithms. However, this process is often slow and costly in terms of resources and energy. Through this internship proposal, Solid State of Mind wishes to study the possibility of accelerating the automatic […]

In the framework of this project, it is aimed to develop a novel therapeutic approach for the treatment of chronic rhinosinusitis. Since its pathology is complex, application of the conventional antibiotics is not much efficient therefore it is defined as a difficult-to-treat disease. To overcome those challenges encountered in the usage of conventional therapeutic approaches, […]

The project involves the investigation of perovskite solar cells fabrication for indoor and outdoor applications based on a method that can be used for industrial production. The intern will first study the optimization of perovskite solar cells by choosing the appropriate hole transport layer for the device stack provided by Rayleigh. This device architecture can […]

Businesses today struggle with manual operations such as paper-based processes and copying and pasting information from one system to another. These manual operations are costing companies hours of unnecessary labour, which trickles down to customers that are expecting on demand services. SOTI has developed a software product called SOTI SNAP that allows anyone to create […]

Organic electronics uses organic molecules with tailored structures and properties in electronic devices such as light emitting diodes, solar cells and transistors. This project seeks to synthesize new organic molecules from the acene family capable of behaving as semiconductors and capable of being electronically linked to metal oxide surfaces. The Shankar Lab seeks to investigate […]

Unmanned aerial vehicles (UAV) have been deployed in many real-world applications such as payload delivery, agricultural laboring, and aerial photography. Based on GPS-based localization algorithms, these drones have achieved many advancements in industry automation. However, since common GPS receivers do not work indoors, an accurate computer vision (CV) technique is required to resolve the problem […]

People with type 1 diabetes (T1D) treated with a basal bolus insulin regimen need to match their insulin bolus calculation with the estimated carbohydrate content of food to maintain glucose control. We want to provide them with a more flexible approach and give them the opportunity to quickly adapt mealtime insulin using automated carbohydrate counting […]

Built environments have been experiencing low productivity issues for a long time due to poor collaborative processes, inefficient information exchange, and discontinuity between design and construction. With more and more construction projects moving towards off-site construction, the concept of Design for Manufacturing and Assembly (DfMA) is gaining momentum. This strategy is expected to be adopted […]

Thermally insulated systems (pipeline, process piping and process equipment) in the hydrocarbon industry require frequent assessment using various non-destructive examination. To access the surface underneath thermal insulations, inspection ports are widely used which have advantages of facilitating the high confidence data. The downside of inspection ports is when these allow moisture seepage which causes corrosion […]