Design and development of a big data analytics system to accommodate dynamic risk modeling of emergency responder delays at active rail crossings

In this project, we design and develop a big data analytics system, which is expected to support the advancement in the state-of-the-art in modeling the dynamic risks associated to emergency responders being delayed at active rail crossings. The model will be used to show risk within cities and support prescribed solutions to mitigate the impacts. Specifically, we design and develop a model to evaluate the risk of emergency responders being exposed to active crossings in terms of lost travel time.

The Psychometric Development and Validation of the Canadian Reconciliation Barometer

Reconciling the deep-seated inequities between Indigenous and non-Indigenous peoples in Canada is perhaps Canada’s most pressing goal. Yet at present, there is neither an agreed-upon definition of reconciliation nor a way to measure it, complicating progress toward it. To address this gap, in the current research we will develop the Canadian Reconciliation Barometer.

Capturing change: Understanding the physical and psychosocial impacts of adaptive bikes

Biking is a common physical activity enjoyed by children and adults around the world. Children with disabilities may not be able to use a standard bike but can participate using bikes that are customized based on their individual needs. There is some indication that adaptive biking has physical and psychosocial benefits. However, there is a need to examine these benefits using a systematic measurement approach. In this study we will partner with Freedom Concepts Inc.

Constrained dynamic pricing for airport parking reservations

To make best use of technology on available big data (e.g., airport parking reservation data), we design and develop an innovative big data science solution for constrained dynamic pricing for airport parking reservations in the proposed research project undertaken by the intern. From scientific point of view, such a solution is novel in the sense that it will be capable of achieving multiple objectives (e.g., maximize revenue and other objectives) and solving the constrained dynamic pricing problem (in which price is constrained or bounded by some user-specified threshold).

Hans Kai Trial: an Evaluation of a Peer-led Preventative Health Intervention

This project involves funding an intern who will work on the conduct of a on going clinical trial, including helping
with participant recruitment and data collection. The intern will also build a research database for the trials data to
be stored in and will assist in the input of the trial data into the database. The intern will also help the partner
organization, Norwest Co-op Community Health, develop guidelines and practices for collecting data about other
programs Norwest Co-op Community Health offers, to help the co-op in evaluating those programs.

Discovery and characterization of a new platform of drugs to address multi-drug resistance in pathogenic bacteria

The evolving resistance of pathogenic (bad) bacteria to antibiotics is already causing a large number of illnesses and deaths not only in Canada but throughout the world. Countries are calling desperately for new drugs to address these bacteria that are becoming untreatable by current drugs. Viotika Life Sciences has identified a new platform of drugs that may circumvent this resistance and save lives in the process.

Development and testing of novel antimicrobial fabrics

Our world is witnessing an increase in the spread of multidrug resistant (MDR) microbes and the irony is that the hospitals serve as an important reservoir for these microbes. MDR infections kills 8,000 Canadians each year, which may rise to 400,000 in next 30 years. Primarily, the spread of pathogens between patients are believed to be due to direct or indirect contact with the hospital textile.

Groundless MEMS DC Voltage Sensors for Electric Power Utilities

This research project will develop dc electric field sensors for the monitoring of electric power utility infrastructure and for non-contact voltage probing and monitoring. MEMS sensors are the focus, as they offer small size, low cost, and low power operation. These properties make them ideal for hand held operation, and for deployment in remote locations far from urban centres, a requirement needed by utilities to monitor their 1000’s of km of transmission infrastructure. Developed sensors would also be valuable to other industries requiring electric field or static charge monitoring.

Selection and Standardization of a Metabolite Profile for Diagnosis of Peripheral Arterial Disease (PAD)

Peripheral arterial disease (PAD) is caused by changes in the wall of the blood vessels of the legs that make them narrow and stiff. The main causes of PAD are atherosclerosis and smoking. Unlike many other diseases, there is no blood test that is capable of detecting PAD. Instead, persons have to be referred by their doctor and they must go to a specialized clinic where an hour long ankle-brachial (ABI) test is performed.
Koven wants to develop a simple and reliable blood test that can detect PAD.

Sensor Development and System Intelligence for Smart Hive and Apiary Management

Honeybees play a significant role in the Canadian economy for pollinating crops and producing honey. One third of our food comes from the crops and vegetables benefiting by pollination from bees. Around the world, honeybees are facing significant challenges, and this has led to increased costs of production for food products. This research project will develop technologies for the monitoring and management of apiaries.