Hybrid Distributed Energy Resources for Net-Zero Energy Buildings

The main objective of the project is to develop hybrid distributed energy resource (HDER) systems to supply energy to net-zero energy commercial and residential buildings. This is expected to result in lower energy costs to consumers and utilities and in greater reliability of the grid. The HDERs will consist of solar panels, generators, and batteries. […]

Read More
Modeling the effect of cloud conditions on incident spectra for concentrating photovoltaic (CPV) energy yield calculations

Concentrating Photovoltaic (CPV) systems use low-cost lenses or mirrors to concentrate sunlight onto the highest efficiency solar cells. They typically use 0.1% of the expensive materials used in traditional solar panels and achieve double the efficiency. As a result, CPV has emerged as a viable option for large-scale, low-carbon, electricity generation in sunny locations and […]

Read More
Resilient Flywheel-Based Energy Storage Platform for Power Substations and Transportation Electrification

This project is aiming at the development of flywheel-based energy storage platform as integrated with power grid substation that will ensure sustainable and safe operation during normal and emergency conditions. It provides reduced operational costs with reduced GHG emissions in energy infrastructures. The design of a resilient energy storage platform is developed to be integrated […]

Read More
Development of an internal Credit Rating model for unrated companies / Quantitative alignment of portfolio risk against a client’s risk appetite

The first part of this project involves the development of an internal credit rating model. Credit ratings, such as those provided by credit rating agencies like S&P and Moody’s, are an important tool that measure the credit risk associated with different companies. However, as the markets expand there are an increasing number of companies where […]

Read More
Action Recommendation Engine (ARE)

Project NOVA will build on the University of Ottawa and Ciena’s advanced analytics capabilities to allow networks around the world to understand where video flows run over their network. This will allow the network operators to improve video Qualify of Experience for their end customers, more quickly and cost effectively fix video impacting network problems, […]

Read More
Combining data science and wearable technology for early health risk detection

It has been well established that if human diseases can be diagnosed early, the prognosis and future quality of life is much improved. With advancements in computing technology in both the hardware (e.g. smaller, lighter, better batteries) and software (i.e. improved artificial intelligence), health systems are entering a renaissance when wearable technology and data science […]

Read More
Efficacy and insect resistance management of new insecticidal proteins targeting western bean cutworm in Ontario, Canada – Year two

Western bean cutworm (WBC) is the most important corn pest in Ontario and lack of control can reduce grain yield and quality due to insect feeding and mycotoxin contamination. Unlike other primary corn pests, WBC are not controlled by most transgenic corn expressing Bt proteins. Monsanto has developed new insecticidal proteins to which WBC are […]

Read More
Towards Clinical Use of Whole Genome Sequencing based Tests in a Clinical Setting

Using genomics in clinical care has the potential to treat patients more efficiently. There have been a number of recent discoveries of genomic assays that can guide treatment. However, most genomic data is generated in a research setting and useful health data only in a clinical setting. Translating potential genomic research into a clinical setting […]

Read More
Optimization of small-scale anaerobic digesters for on-site organic waste processing

Anaerobic digestion (AD) is a microbial process where organic materials (sugars, starches, hemicellulose, etc) are broken down into renewable natural biogas and nutrient-rich biodigestate byproducts (roughly 5-10% solids in water). The performance of AD systems is heavily dependent on careful control of digester conditions, including pH, temperature, and health and proportions of the bacterial populations […]

Read More
Motion and Attenuation Correction for PET/MRI

During a medical imaging exam, patient motion such as breathing, cardiac motion, and random adjustments of the head or body can affect the accuracy of the acquired images. Positron emission tomography (PET) is a powerful medical imaging technology that can detect minute amounts of an injected probe targeting specific tissue processes and diseases. Magnetic resonance […]

Read More