Air pollution is linked to 7 million deaths worldwide, making air quality one of the top ten global causes of death. Eighty percent of Canadians live in cities, and growing evidence suggests that indoor air within the built environment has significant health impacts. Our research will evaluate the contaminant removal capabilities of an active ‘living […]

Food Innovation Online Corp (FIO) is a New Brunswick(NB) based company that operates a website targeting the global potato industry. This website – PotatoPro.com – is the #1 website in the potato sector worldwide. As a result, the company has access to a large amount of data on the interests and information needs of this […]

The project aims predict the demand of customers for small and medium size businesses. Forecasting models will be developed analyze historical data to understand patterns and correlations. Machine learning will be applied to determine how the accuracy can be improved over existing statistical methods, such as Fourier Regression Analysis which is commonly used in retail […]

Chronic low-back pain (CLBP) is a significant health issue in North America. CLBP patients demonstrate structural changes to and reduced function of the multifidus muscle, which is important to low-back health. Neuromuscular electrical stimulation (NMES) is a treatment used to improve pain and function in low-back pain patients, but is frequently painful. Our partner has […]

In this project, a key research project for the robotization of the timber building construction is proposed. By developing a full-scale robotic cell for mass timber walls and showcasing its benefits compared to current manual situations, in terms of safety, quality, productivity and so forth, we expect to support the introduction of robotic cells in […]

The objective of this proposal is to develop a new candidate recombinant protein vaccine for the new coronavirus disease 2019 (COVID-19) based on a novel protein delivery and adjuvant technology, iPDT. If successful, this research will advance another COVID-19 vaccine candidate(s) to the pipeline toward clinical use. The causative agent of COVID-19 is SARS coronavirus […]

Combined heat and power generation (CHP) is an efficient method of recovering waste heat of flue gas in internal combustion engines. CHP using natural gas (NG CHP) is actually a NG power generator combined with a waste heat recovery (WHR) system. The by-product heat from the electricity generation is captured by passing the high temperature […]

We are attempting to cure COVID-19! This is a very important initiative! Currently, no cure or vaccines are available to combat SARS-CoV-2. There is an immediate need to develop such therapies. The importance of developing a cure for COVID-19 cannot be overstated! Here, we propose an alternative approach to traditional drug development methods. Our approach […]

Traditionally, artistic communities relied on face-to-face encounters to learn their skills, collaborate, and showcase their work. Due to COVID-19, performances in the arts have been abruptly halted and traditional music lessons take place at a studio has stopped. This project aims to examine and provide a prototype solution to mitigate the challenges in artistic collaboration […]

In this project, machine learning and optimization will be applied to a 20 GB dataset on raw fish quality and process control parameters collected by the Tally software over a three-year period in a large industrial tuna cannery processor. The goal of the research is to design predictive machine learning and optimization algorithms maximizing the […]

Financial institutions are under increased scrutiny for their role in environmental, social, governance (ESG) risks and impact. In November 2019, the European Parliament introduced the first ever legislation on ‘Sustainability Disclosure’ for financial institutions. Within financial institutions, the private equity industry stands out as an asset class which could have a significant impact on ESG […]

The project will reformulate the coronavirus dispersal hypothesis to food web disturbance caused by ‘social mood’ of human behaviors. We will develop a dynamic system-theoretic model to capture the change pattern of such a “social mood” and identify early warning indictors. The approach will be an advance for understanding the pathogen dispersal risk among those […]