Development of An Alternative Landfill Barrier Material From Treatment Plant Residual Solids

This project will take existing waste material(s), blended with a stabilization agent and create a useful material that can be used as a cover material for a landfill. The waste materials will consist of residual material from municipal water or waste water treatment plants, pulp and paper plants combined with waste materials that are residual from industrial processes such as cement manufacturing, energy generation, etc. The material to be created will be engineered to have desirable properties to act as a suitable cover material replacement for clay in a landfill.

Prioritizing decision-making for agriculture and conservation in North America’s prairies under climate change and land-use change

Wetland habitats are critically important to many animal and plant species, and they are in trouble. The North American prairies, for example, comprise some of the most productive wetland habitats in the world, but many areas of the prairies have lost up to 90% of their wetlands and more than 90% of their native grasslands due to farming practices and more recently, climate change. This project will build a decision-support framework to prescribe the conservation actions needed to sustain wetland biodiversity in the face of climate and land-use changes.

Evaluation of the potential benefits of the implementation of battery-powered electric LHD (load-haul-dump) machines in the conditions of a deep underground gold mine

This project will offer a comprehensive review of the latest battery electric-powered equipment addressed to UG mining industry. Consequently, the research will contribute to a better understanding of the technology. Westwood mine will assist the student with his research with the opportunity of acquiring experimental data on battery electric prototypes. The enquiry will serve to either justify or preclude the use of battery-electric vehicles as a possible way out to diesel powered vehicles usage in UG mining operations.

Developing a Business Model for a Cleantech Accelerator

Technology business accelerators represents a relatively recent concept to accelerate the growth of technology companies. Little research has been done on how to best implement this concept to different sectors and the specific needs of the Cleantech sector received even less attention. My research will explore current accelerators’ design and develop a new business model for a Cleantech business accelerator that will be tailored to local conditions, expertise, and needs in the Greater Peterborough Area.

A fully customized image sensor for fluorescence imaging in biomedicine

Customized image sensors will be designed by EnviroSen specifically for advanced microscopes used in biomedical imaging. The goal is to develop image sensors with improved efficiency, image resolution and speed compared to existing technologies for novel microscopes for fluorescence lifetime imaging. The McMaster Biophotonics group has recently developed a novel microscope that is capable of detecting fluorescence lifetimes of biological samples with 400 times improvement in image acquisition speed.

Towards the development of a Bayesian prognostic tool of air pollution in Ontario

Air pollution is a major concern in urban centers because not only does affect vulnerable populations, but also impacts the quality of life for urban dwellers. With the new implementation of the Air Quality Health Index (AQHI) by the Ontario Ministry of the Environment and Climate Change to replace the existing Ontario Air Quality Index (AQI), there is an emerging need to forecast future environmental impacts on air quality and assess the achievability of the newly-adopted index.

Development of new on-site sampling, high-throughput and high sensitive analysis for determination of small molecules in saliva

Saliva is a promising alternative specimen since it is easy and non-invasive to collect, and available at any time. Solid-phase microextraction (SPME) has been recently introduced as a green, simple, fast and sensitive sample preparation technique for high-throughput and in vivo analysis of drugs in various biological fluids, including saliva.

Multi-Criteria Supply Chain Design and Management Tool for Food Convergent Innovation in Dairy Business

The project will develop a firm-level multi-criteria supply chain design and management tool for Parmalat that will accommodate conflict and convergence between requirements for lean, agile, green, resilient, and nutrition characteristics that are all needed for convergent innovation (CI) in the dairy sector supply chain.

Pool-riffle design for river restora

Professionally practicing Civil Engineers and Earth Scientists engage in stream restoration actions in order to enhance freshwater habitats for salmon, trout, and a variety of other species. There is a wealth of procedures and standards available to help practitioners develop design plans. However, there is a lack of specific guidelines to help identify stream reconstruction details that will give the overall effort a greater likelihood of meeting performance expectations and criteria after the project has been constructed.

How to improve eddy covariance data quality, model validation and user experience through the integration of soil gas flux measurements using Eosense’s eosFD chamber

Reliable measurements of carbon cycling are challenging. Eddy covariance is the technique used by a global network of researchers that measures the net fluxes of gas to and from an ecosystem. However, there are issues with gaps in data under certain environmental conditions. Eosense’s eosFD forced diffusion chamber technology allows for long-term, remote and off-grid deployments to measure soil respiration with low power consumption.

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