An infusion pump is a medical device that automatically administers set amounts of drugs into a patient intravenously. Drug errors occur when an incorrect dose or dose rate is programmed. To avoid such errors, a drug library is created providing dose limits for every drug. “Smart” infusion pumps provide a tracking system, saving all pump […]

Drone Delivery Canada (DDC) designs and operates high performance Remotely Piloted Aerial Systems (RPAS) to deliver payloads between depots and warehouses. The DDC engineering department is looking to design and deploy a ground-based system to track and point at the Remotely Piloted Aerial Vehicle (RPAV) during flight in real-time. However, DDC’s RPAS must be able […]

The pre-trained Bi-directional Encoder Representation from Transformers (BERT) model had proven to be a milestone in the field of Neural Machine Translation, achieving new state-of-the-art performances on many tasks in the field of Natural Language Processing. Despite its success, it has been noticed that there are still a lot of room for improvement, both in […]

Microelectronic fabrication needs a method to deposit very thin films of copper in very accurate patterns to interconnect the microelectronic devices on a chip. Atomic layer deposition (ALD) is a method used in microelectronic manufacturing that could do this, but a suitable copper process has yet to be identified. This internship is to help continue […]

The goal of this project is to use naturally occurring bacterial partners to improve the flavour and nutritional properties of plants grown in hydroponic and aquaponics systems. This study will investigate ability of plant associated bacteria to alter the metabolic profile of select vegetables and leafy greens. Vertical farming is an increasingly popular solution for […]

In this project, we propose to expand support of SOTI’s MobiControl (MC) to Tizen Operating System. SOTI MobiControl has assisted numerous enterprises to overcome the management issues due to lack of security and improve business performance by monitoring the health and safety of employees, and increasing productivity, with the introduction of wearables and other IoT […]

Polycyclic Aromatic Hydrocarbons (PAHs) are a large class of complex organic molecules made of carbon and hydrogen that are ubiquitous throughout the space, accounting for up to 15% of the cosmic carbon. These molecules are made of fused benzene rings resulting in a honeycomb structure with hydrogen atoms at the edges of the molecule. They […]

This work aims to explore software and hardware co-optimization for deep neural network (DNN) inference applications. Once a model is trained to sufficient accuracy, the model is used to make inference or predictions based on this trained model. With increasing performance, more people are using these models for tasks such as translation, self-driving cars and […]

Synchronized cardioversion is a medical treatment that applied an electrical pulse to restore a normal heart rhythm is patients with an abnormally fast heart rate or cardiac arrhythmia. A successful cardioversion is dependent on the amount of electrical current that reaches the heart, which depends on the strength of the electrical pulse and the transthoracic […]

Health disparities arise as a result of long-standing societal disadvantage and discrimination. As machine learning models become more popular in the healthcare sector, understanding of current health disparities becomes even more critical. Without careful management of existing biases, the models can inherit and amplify health disparities, leading to highly undesirable clinical outcomes. This project focuses […]

Based on the user’s geo-location, timestamp and other attributes (eg. time of day, past visit history and app behavior categories, etc.), a machine learning algorithm can be developed to find which cluster the users belong to. Overall, the data of geo-location and timestamp are used to roughly locate the potential clusters. This project will involve […]

Research is rapidly progressing in enhancing the Artificial Intelligence of Robotics. One backbone of this rapid change lies in Deep Learning. Deep Learning refers to new algorithms that are capable of learning behaviors after being trained by several thousands or even millions of examples of what should be done given an input. My project will […]