This project aims to develop an itinerary demand forecasting model that can handle long-term and short-term forecasting and adjust its parameters under changing situations. General long-term prediction models are relatively precise because the context often remains stationary over time, but can not quickly adapt to unforeseen events, like the global pandemics. It is necessary to […]

Resident killer whale populations in British Columbia (BC) are listed under the Species at Risk Act (SARA) as “threatened” and “endangered” for the northern and southern populations, respectively. Common pollutants such as PCBs and PBDEs, are considered a significant impediment to the recovery of resident killer whales. These chemicals bioaccumulate throughout the food web and […]

Criterium Group is a strategy and management consultancy that unlocks the potential of leaders and their teams by bridging the gap between strategy design and execution. In my internship, I will be applying my analytical and creative problem-solving skills to assist in and directly work on Criterium Group’s various projects.

Pharmaceutical platform technology (PPT) was invented by Sinoveda Inc., the partner organization, to accomplish the tasks of identification, purification, and activity determination for the active ingredients of natural herbal remedies, with the goal of developing and optimizing the remedies. However, two issues remain to be tackled in the PPT process: first, there is as yet […]

Recruit n Refer is a B2B platform to replace the traditional recruitment process – but more importantly, to eliminate the hurdles and hassles that can come with talent acquisition. As a marketing intern, I will be helping increase brand awareness and help source new clients by working with social media, newsletters, and press releases.

The main objective of the internship is to conduct a systematic review of artificial intelligence and machine learning and develop use-cases for Agriculture & Supply Chain Industries. This literature review will help in the development of a knowledge base to support the build-out program resource materials. These will be used as educational content for cohort-based […]

Le but du projet est de mettre au point de nouvaux modèles de mise à l’échelle pour le mélange de poudres propulsives. Des lacunes ont pu être observées lors de la mise en marche de la production à l’échelle industrielle de nouvelles de formulations de poudres propulsives et les règles de mise à l’échelle courrament […]

APIs are crucial for all digital products, and protecting their privacy, security and integrity is important to enterprises. Finding secure and compliant APIs is a cumbersome manual process. Developers typically go to API documentation (online webpages) to try out APIs. They perform a number of steps for trying APIs such as registering for an account, […]

My research question of interest is: Can abandoned coal tailings impoundments be suitably utilized as sites for installation of solar photovoltaic (PV) panels for electricity generation? My research will focus on the feasibility analysis of renewable energy power generation utilizing geomembrane-mounted solar PV systems at the Victoria Junction Tailings Dam in Cape Breton, Nova Scotia. […]

The purpose of this project to empower Atlantic Canadian Beef Producers to understand the unique success factors for beef production in the region and identify opportunities to improve their cost of production while mitigating environmental impacts based on the on-going work of the Beef Cattle Research Centre on the Canadian Cow-Calf Cost of Production (CDN […]

La compétence perçue est depuis longtemps reconnue comme un facteur important de l’expérience sportive qui peut contribuer à l’abandon prématuré du sport ou, au contraire, a sa pratique prolongée. De plus, des perceptions de compétences qui diffèrent grandement entre les parents, les entraineurs et les joueurs peuvent mener à l’apparition de conflits qui nuisent aussi […]

Technologies that can speedily and efficiently analyze large amounts of data in real-time play a critical role in helping healthcare professionals and governments predict the impact and spread of a pandemic such as the Covid-19 virus over time. Our Syndrome Anomaly Detection System (SADS) is an innovative platform that uses artificial intelligence (AI) to capture […]