Proteomic Analysis of Microbial Communities for Enhanced Bioremediation of BTEX Contaminated Sites

Soil and groundwater pollution with harmful petroleum contaminants such as BTEX is a global concern. BTEX has carcinogenic and mutagenic properties, therefore, it is essential to remove such contaminants for a healthy ecosystem. Microorganism-mediated bioremediation is an extremely promising technique that is cost-effective, efficient, and safe for the environment. However, limited biological knowledge about the […]

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Assessment of Banana Peel Ash as a Catalyst for FAME (Fatty Acid Metil Ester – Biodiesel) Production from a Mixture of Refined Palm Oil, Used Cooking Oil and Methanol in a Batch Reactor

Recent studies in the field of biodiesel production emphasize the use of waste materials, such as used cooking oils and agricultural by-products like banana peels, to enhance sustainability and reduce environmental impacts. Researchers are exploring innovative methods to utilize these waste materials both as raw materials and catalysts, thereby promoting a circular economy. The latest […]

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SF6 Innovation Internship

Over 4 months we will work to scope and structure global innovation efforts in one, and potentially more, key areas to tackle large sustainability challenges. The areas are SF6, plastics (with a focus on bio plastics) and agricultural innovation (including soil carbon measurement). A large focus will be on innovation to tackle the challenge of […]

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Generating Reliable Estimates for the GHG Emissions Impacts of Existing and Future Cycling Infrastructure

This project focuses on identifying and developing methods of estimating the Green house Gas (GHG)- emissions related benefits of bicycle infrastructure (such as, painted bike lanes, protected bike lanes, multi-use trails). GHG-emissions estimation methods that consider both the “benefits” and “costs” related to active transportation infrastructure is extremely rare, and as a result, there is […]

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Development of a Cost-Effective Machine Learning-Based Device for Predicting Nitrous Oxide Emissions in Agricultural Fields

Agriculture and Agri-Food Canada has initiated a program to reduce fertilizer N2O emissions by 30 % from 2020 to 2030 [14]. Accurate monitoring of agricultural N2O emissions is crucial for understanding their environmental impact and implementing effective mitigation strategies. Current research mainly focuses on measuring N2O emissions from the ground. The spectroscopic-based LI-COR sensor is […]

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From Hydro Bureaucrats to Hydro Entrepreneurs: Exploring the Impact of Changing Hydropower Politics on the Conceptions of Citizenship and Common Good in Turkey: A Case Study of Artvin

My doctoral research aims to understand the emerging contentions on common good and citizenship in Turkey as an implication of Turkey’s adoption of free market mechanisms in energy production. In my research, I analyze the different legal (courts), material (public participation meetings) and conceptual (posing livelihoods as an alternative to private property) sites these contentions […]

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Response of moose forage to disturbances in central British Columbia

Moose are often assumed to benefit from disturbances because of the flush in plants they eat (forage) occurring shortly after. However, the response of moose to disturbances is complex, with moose numbers documented as increasing or decreasing as disturbances increase. Disturbances can alter the quantity and nutritional quality of forage available to moose. The change […]

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Economic Capital Modeling by Using Copulas

Sun Life Financial is carrying out its ERM and ORSA analysis. The company seeks to develop sophisticated and mathematically sound internal models that would serve as company’s own risk measurement tools for EC evaluations, provide continuing insights into the appropriate risk management routes, as well as be a benchmark against the RC required by the […]

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Personalized Learning using Private LLM for Specific Course Content

The goal of this project is to use advanced technology, specifically a type of Artificial Intelligence (AI), to process educational content. This allows us to create personalized learning experiences for students in a secure setting. Over time, this unique learning tool will become an essential resource, encouraging students to explore and gain knowledge on specialized […]

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New Market Entry Go-to-Market Innovation

Centro Commerce builds first-of-its-kind AI for supply chain. We aim to enter a new market with new technology that we have developed. The new market we intend to enter comprises of ecommerce and omnichannel businesses generating $25M+ in revenue in North America. This initiative requires innovating the marketing strategy and execution to ensure success in […]

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Organizational Life Cycle Assessment of Sheridan Nurseries Farms and Greenhouses

There is very little known about the environmental impacts associated with the nursery sector globally. Therefore, the objective of the project is to quantify the environmental impacts, with a specific focus on global warming potential (herein referred to carbon footprint) associated with the operations of Sheridan Nurseries. We will use life cycle assessment (LCA), used […]

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