Biosurfactant Production from Seafood Processing Waste

This project aims at developing an innovative technology through the utilization of fish waste as substrates for biosurfactant production. Through the proposed approach, fish waste will be recovered into fishery peptone and being used as a nutrient substrate for the synthesis of biosurfactant products with promising market values. The outcomes of this project will directly provide the fishery industry a new model of fish waste reuse and management by "turning waste into valuable products". It will also help reduce waste discharge and protect the environment.

COVID-19 and ultraviolet-C disinfection of porous and non-porous surfaces: modeling, validation, and performance of new devices

The COVID-19 pandemic led to an increased demand for disinfection solutions, including ultraviolet C (UVC) light technologies. UVC works by inactivating microorganisms and show a strong potential to break the chain of infection in hospitals and public settings. CleanSlate and the University of Toronto are exploring this potential by characterizing how the virus that causes COVID-19 responds to UVC, and by evaluating the efficacy of new UVC devices for decontamination of high touch and other common surfaces.

Data Analytics to Optimize Drinking Water Quality

Drinking water utilities must maintain water quality in the face of unexpected shocks to the system as well as planned upgrades with unintended consequences. Failure to do so can result in significant threats to public health: the city of Flint, Michigan, for instance, experienced a water quality crisis after making changes to source water chemistry and treatment processes without fully considering the consequences. It is vital, then, that water quality managers synthesize research, practical knowledge, and monitoring data to anticipate and address risks to water quality.

Wastewater Surveillance of SARS-CoV-2 in Nova Scotia

Although COVID-19 is considered a respiratory illness, the genetic material of SARS-CoV-2, the virus that causes COVID-19, has been found in the feces of people infected with the virus. It is known that the virus survives longer in the gastrointestinal tract than in the respiratory tract. As such, wastewater has been used to determine the presence of the virus either before someone develops symptoms; receives a positive test result; or is an asymptomatic carrier of the virus.

Performance Based Design of Viscoelastic Coupling Dampers in Mass Timber Buildings

Viscoelastic Coupling Dampers (VCDs) have been developed over the past 15 years at the University of Toronto and by Kinetica for use in multi-storey buildings constructed with conventional construction techniques (steel and concrete). It has been shown the VCDs improve the wind and seismic performance of these buildings, leading to safer, higher performing and more resilient structures.
There has been a boom of mass timber construction due to the inherent sustainability, modularity and speed of construction using mass timber.

Artificial generation of optimum whitewater waves in rivers for kayaking

Recreational river waves are gaining more and more popularity, but there is not enough academic research to support them and very few companies around the world can artificially create them using adjustable structures in rivers. Surf Anywhere, the Calgary-based partner organization in this research, is one of those few companies that has completed and is working on many wave projects in Canada, USA and Europe.

Assessing the Validity and Reliability of a Client Risk Profile Assessment Method

Client risk is one of the major decisions in wealth management. Many of the client risk assessment methods that are used in wealth management are in-house developed on an ad-hoc basis. The objective of this research is to assess the validity and reliability of the risk assessments methods developed by RiskMetrics. This study will be performed by analyzing the validity of the questionnaire and the reliability of the risk assessment result. The questionnaire will be assessed based on expert opinion and published literature.

Improving Construction Permitting Process using Predictive Analytics

In public sector, the decision making of construction permitting can have direct impacts on the ongoing urban development. The efficiency and predictability of the review process is critical for municipalities to provide timely and accurate results to the public. As the review process is managed digitally with process data available, using data analytics to develop predictive models can result in improvement of efficiency and predictability.

Sustainable development of solid waste management in the Municipality of Roblin

The current waste disposal cells at the Municipality of Roblin has been full. They have to design a new cell to receive more waste. This project is predicted to determine its feasibility through an environmental assessment in view of the proposed waste disposal cell. Moreover, the recycling program has been conducted in this region. However, the diversion rate is expected to improve. Optimizing the existing recycling program is one of the objectives of this project. Besides, consider whether there are other programs to enhance the waste diversion rate.

Feasibility Study for Wastewater Collection and Treatment System at Aubigny community

Aubigny is a small rural community where individuals are responsible for their septic systems. Being smaller lots and close to the Red River, the potential for environmental damage such as soil, surface and ground pollution could be there. If suitable wastewater treatment system could be installed in this community then there would also be potential for more residential development. The project will determine the feasibility of creation of a sustainable wastewater treatment system that could work for such a community and ensure environmental sustainability there.

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