Global warming is one of the largest environmental issues these days and the increasing greenhouse gases(GHGs) emission such as CO2, CH4 and N2O is the leading reason for global warming. The main sources of CH4 emission are rice cultivating systems and cattle rearing, meanwhile, N2O mainly come from the application of fertilizers. Many factors in […]

Securing autonomous vehicle environments has recently become a hot topic for both industry and academia due to the significant safety and monetary costs associated with security breaches of such environments. This requires different approaches to address the challenges and propose potential solutions at multiple levels of these environments. To that end, machine learning (ML) and […]

This project will look at improving the quality of software by using AI to determine if a defect / issue exists and if so where it exists for easier fixes. This research is innovative and this domain is not proven. The student will explore new techniques for a highly relevant issue in industry. The industry […]

Willowbank Centre for Cultural Landscape will work with a University of Waterloo student to engage in an emerging process of building disassembly and material reuse. Demolishing a building and sending the debris to landfill sites is a huge loss of resources, energy, and historical value. This project becomes a prototype on how to reuse building […]

According to world health organization (WHO) 80% of the diseases are water borne! Providing clean and affordable water then is one of the modern-times hurdles. Finding new remedies could mean saving thousands of lives. Therefore, my research expertise lies in the area of creating new strategies to remove hazardous contaminants saying heavy oil, hydrocarbons, heavy […]

Decision makers responsible for managing public and population health risks are increasingly faced with challenges in integrating information from multiple sources to support evidence-based risk decision making. To meet these challenges, a new framework for evidence integration will be developed to provide guidance on how best to synthesize information from all relevant sources to support […]

Drug-impaired driving represents a significant and increasing threat to the safety of Canadians and there is an urgent need for a convenient, instantaneous and accurate road-side evaluation technology for impaired driving. Current solution for roadside drug testing includes a device that is still just a qualitative indicator. Quantitative detection of drugs currently require expensive equipment, […]

The rapidly increasing numbers of COVID-19 patients and long hospitalization periods place great strain on the current healthcare system in Canada. While some patients need hospitalization, most do not. To monitor those at home, accurate data is vital. There are several reasons that prevent continuous monitoring of the five physiological parameters (e.g., skin temperature, oxygen […]

Increasing concerns about global warming related to greenhouse emission, and depletion of fossil fuel resources, bring biomass as a promising environmentally friendly and sustainable alternative to supply chemicals and fuels. One attractive option is the conversion of biomass obtained from recycling activities to high-value chemicals. In this context, direct biomass conversion to ethyl levulinate (EL) […]

The purpose of this project is to support the effective planning, design, development, implementation, and maintenance of a new mentorship program through the YCMA of Greater Toronto serving Black youth in priority neighbourhoods in Toronto’s east end, namely the Galloway, Malvern and Dorset Park neighbourhoods in Scarborough. This program seeks to support educational achievement and […]

The Structural Genomics Consortium (SGC) is a not-for-profit public-private partnership research organization that aims to accelerate the discovery of new medicines through open science. This Mitacs cluster will bring together SGC’s industry and academic collaborators to work together towards new and affordable medicines for challenging diseases. Sixty-three post-doctoral fellows will spend 2-3 years developing open […]

The primary objective of the project is to assess our business operations in terms of optimization opportunities that may be realized through the integration of AI. Our business is consulting engineering to the land development industry: we sell our time as professionals, we sell our expertise, and we recruit professionals. Our business involves numerous processes, […]