Developing a microfluidic lung-on-a-chip model for accelerating the discovery of novel therapeutic targets for Chronic Obstructive Pulmonary Disease (COPD)

Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder of the lung, and one that affects 2.6 million Canadians and 380 million people worldwide. The current therapies are very imprecise and none modifies disease progression or mortality. There is a pressing need to discover novel targets to enable precision health, promote new therapeutic discoveries, and ultimately improve the care and health outcomes of patients with COPD. However, this process is hindered by the use of outdated cell culture systems and animal models.

Electrical Design for Acuva Arrow systems

The Acuva Technologies Inc. has designed and developed UV LED-based water purification machines. These machines are in their optimization stage for cost, complexity, and manufacturing time reduction. Adding some features such as graphical user interface, wireless connectivity and being self-powered increase the public popularity of these machines. Graphical LCD provides much more user-friendly interface by which the user has more control over the machine operation. Using PV solar cells to power the device when it is not easily accessible provides versatility to the machine.

Global ground stability mapping with radar satellites

3v Geomatics (3vG) processes tens of thousands of radar satellite images annually to measure ground stability over time. The image processing pipeline demands very high storage and computation resources. The goal of this project is to enhance this pipeline so it can deliver better results faster. First, the project will profile and identify efficiency bottlenecks of the pipeline. This will be followed by design and development of novel approaches to enhance pipeline efficiency.

An Investigation on the Detection of Oil-based Pollutant Spills in Ice-infested Arctic Waters Utilizing Active Microwave Remote Sensing

Climate change continues to shrink the sea ice in the Arctic. Consequently, there is an ever-increasing trend of industrial and shipping activities in the Canadian Arctic. This results into a high risk of accidental or deliberate release of oil-related pollutants in the Arctic waters. Satellite remote sensing is a key component in spill detection as an essential step towards any remediation and cleanup effort. Thus, this project proposes to develop a detection algorithm based on microwave satellite data that can be incorporated into a high-level oil spill alarm system.

Electrical Heating for Oil Sands Production

Traditional oil sands production techniques include mining and transporting the sands and in situ production using steam injection, Steam Assisted Gravity Drainage (SAGD). This proposed method will replace or enhance SAGD by using primarily traditional vertical well bores and an induction heating method which will potentially allow the heating effect to expand in diameter as production continues compared to steam injection which relies on steam permeating out from a concentrated injector.

3-D imaging of plants and vegetables

The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make smarter decisions for irrigation and harvesting. There are various 3-D technologies available in the market.

System on Chip for aerospace embedded equipment

The aeronautic and aerospace industries are exploring new approached to reduce the mass of cables, bulky electronic systems. This rationally leads onto aircraft weight reduction as well as the amount of CO2 and greenhouse gas emitted by aircrafts. To reduce the mass of cables, power harvesting technique could be utilized. In this approach, the energy needed to power on electronic systems can be harvested from available and reliable sources such as vibration, passenger’s seat heat, data line idle states etc.

Network Virtualization and Slicing in 5G Mobile Networks

Unlike services provided by current mobile networks only focus on voice and data, the services provided by 5G networks can range from high data rate services (e.g., VR) to ultra-reliable low latency communication (e.g., vehicle communication). Therefore, a more flexible and effective 5G mobile network is expected to be designed and operated. Network virtualization and slicing has been proposed to address these challenges to enable a new way to design, deploy and manage networking services. Can we implement network virtualization and slicing into 5G networks directly?

Automated Impact Analyses to Support Code Review Practices

Large software systems are updated incrementally to add new features or fix bugs. It is a common practice in the software industry to have each incremental change reviewed by a peer to detect software quality issues and transfer knowledge among team members. While peer review boasts technical and non-technical benefits, it is still primarily based on low-level textual differencing, which place the prior and updated versions of the software source code next to one another.

Anomaly Detection in Event Data

The proposed research project targets anomaly detection of event data. The project has a duration of six months and aims to achieve two objectives: (1) to evaluate the effectiveness of a novel approach for real-world data, and (2) compare it to alternative methods. The intern will use existing research resources, and will apply them to real-world data provided by the partner, Acerta Analytics Solutions, Inc. to evaluate the different methods.