Innovative Projects Realized

Geoid determination using an innovative, robust, and efficient algorithm

In a geographical information system, latitude, longitude, and height are commonly used to represent the location of a point on or near the Earth’s surface. The first two, called horizontal coordinates, refer to reference ellipsoid and are known as geodetic latitude (?) and longitude (?). The third coordinate, i.e. height of a point is referenced to the Geoid which is an equipotential surface (level surface) of the Earth closely approximating the mean sea level. The geoid is used as a reference surface for heights (height datum) and can be determined globally and regionally. Near-surface configuration of the Earth’s structure, e.g., tectonic plate movements, surface deformation, sea-level changes etc. are reflected in the shape of the geoid. A global geoid model, derived from satellite observations, normally cannot meet the accuracy desired for smaller regions due to omission errors and methodological complications. Determination of a regional geoid model requires a combination of gravity measurements from spaceborne, airborne and terrestrial platforms with topographical data. Sander Geophysics (SGL), is one of the international pioneer companies in collecting such data. Upon completion of the proposed project, SGL will be the first Canadian company with the capability of calculating the regional geoid for their customers.

Unsupervised Machine Learning Approaches to Define the Underlying Structures in Data

In many real-world machine learning problems, inadequate labeled data and extensive unlabeled data are usually available. Normally, unlabeled data is collected routinely, though the high cost associated with labeling the data is high for generating the labeled training dataset for supervised learning. Moreover, the lack of domain experts and the time-consuming data labeling, especially in labs, make this process more complex. In such cases, unsupervised machine learning approaches are used to find the underlying patterns in data. In this project, we deal with raw unlabeled data generated by fiber sensors. We will clean the data in several steps and investigate the potential underlying structures in data through various unsupervised machine learning approaches such as data clustering and dimensionality reduction algorithms. Through model validation and evaluation, we will identify the fallacies that may contribute to data anomalies. Models with low error rates can be considered as trusted models for evaluating the upcoming unlabeled data. The ability to determine the underlying structures in data enables our partner to measure the consistency of the given data. A reliable consistency feedback model helps creating uniform products in the fiber industry and other industries that deal with unlabeled data.

Software and Algorithms for Quantum Computational Chemistry

This project is focused on improving the theory, software and scope of applications of quantum computational chemistry. The intern will work with the company research team to further develop new theoretical methods which are under development, implement them into code as part of the existing open-source PennyLane package, and run tests for modelling the vibrational properties of a specific sample molecule. The intern will gain valuable experience working with a leading company in the field of quantum computing and will be able to lead the preparation of a journal-ready article. The company will benefit from the intern’s talent and expertise to push this project forward from theory into implementation and testing. When the resulting software is publicly available, with demonstrated results, it will help more attention and research users to the company’s quantum computing products and services.

Conception des exvacations minières – projet Éléonore (Goldcorp)

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Market Research Intern

COVID-19 has reinforced the importance of Sanctuary’s technology for enabling
remote telework with crucial applications in care and food production as well as
many other industry verticals. As the technology platform centers around a
General Purpose Robot (GPR), the importance of understanding tasks through a
general lens allows for the appropriate prioritization of commercial deployments
and assists in defining the technology roadmap. A market research intern is
required to support our Chief Commercial Officer in the ongoing valuation of target
economic tasks.

In this role you will contribute to the research and analytical efforts of the
commercialization team in support of our growing database of labour statistics.
You will seek to understand the value of different work tasks. You will focus on
identifying and analysing existing information about relevant occupations
including time-motion studies. In addition, when no published resources are
available for a given occupation, you will perform primary research through
interviews and other methods to understand the task breakdown of that
occupation.
Responsibilities
– Perform secondary research on occupations particularly as it relates to time and
motion studies to quantify the value of work tasks.
– Performing primary research when necessary, including interviews
– Organize information, and update database with latest findings
– Report analysis in a database/format for consultation with other team members.
Qualifications
– Pursuing or completing a bachelor’s degree in economics, business or a related
field
– Excellent research and writing skills
– High level of organizational and planning skills
– Deadline driven and detail-oriented
– Comfortable interning remotely
– Experience in conducting research is preferred

Business Analyst

The Outdoor Recreation Council of British Columbia identifies that there is a need for an analysis of the value that outdoor recreation brings to British Columbians. The Intern will work on collating and reviewing existing socio-economic studies of the outdoors and identify gaps in order to lay the foundation for a future comprehensive multi-faceted socio-economic study. A better understanding of the socio-economic benefits of outdoor recreation will help the public outdoor recreation sector in future advocacy efforts and negotiations with government and industry.

Marketing Coordinator

Across a wide range of medical and healthcare products, existing supply chains are no longer sufficient, especially during the global pandemic. To deliver, organizations must pre-empt geopolitical change and leverage strong local relationships. As the Marketing Coordinator at PODS Health Inc., I will implement marketing plans to satisfy the company’s marketing goals and execute initiatives to reach the target audience through appropriate channels.

Marketing Coordinator

While working at Flywheel Digital Inc., my responsibilities will include supporting in execution of digital marketing campaigns for SEO, CRO, digital advertising, and email. I will also help with analysis and analytics setup for all campaigns, support in growth of the Flywheel brand through the company social media, blog and newsletter. I will also collaborate with the Flywheel team in facilitating the project management process throughout the organization.

Buzaker Law Firm – Business Strategy Internship

Buzaker Law Firm is looking for ways to innovate and bridge access to justice for small businesses, struggling to stay afloat, meeting their commercial tenancies obligations and protecting their intellectual property. Provision of legal information on the business, legal, and IP strategy to small businesses during the Pandemic can help alleviate some of the challenges that those businesses face.

BSI Startup Support

Through this BSI internship, the student intern will make themselves available to the startups within the Town of Innisfil’s (“TOI”) business incubator, to provide them with business strategy and legal guidance. Much of this work will include assisting a variety of technology startups with intellectual property research and strategic guidance in the interest of ensuring that these Canadian ventures are putting their best foot forward, all while mitigating any unnecessary risk. The law student intern will coordinate weekly meetings and drop-in times for the startups within the TOI incubator to outline some of the legal and intellectual property research they need to complete. The student would then carry out this research and provide the startups with comprehensive reports addressing the concerns of the startups. These reports will be written by the law student and then submitted to the faculty and legal supervisors for review. The idea of this internship is to provide new Canadian ventures, within the partner organization’s incubator, with accessible, affordable, and comprehensive intellectual property and legal strategy. Thus allowing the startups to focus on continuing to develop their product or service, unburdened by the looming legal and IP concerns.

Marketing Specialist Internship

Through this project, the intern will further enhance and learn more about:
• Knowledge in a business field- not only will this opportunity expand his understanding of B2B marketing, but it will also provide further exposure to the Canadian business culture
• Methods for solving business problems- this project will allow the intern to use different methods and tools to solve business problems by developing insightful business strategies. Additionally, the intern will have the opportunity to apply the data analytics, data visualization and creative thinking skills that he has developed in his MBA studies
• Communication skills through presentations and reports- the intern will produce a variety of internal and external presentations including reports, communication briefs and marketing ads, this work will give the intern expose to different styles of business writing and insights on understanding the target audience for the purpose of producing meaningful/impactful communications

Metamaterials toolbox:Tuning heat flow at will in the Si-based materials at nano- and mesoscales – Year two

Heat management in semiconducting nanomaterials requires the design of engineered artificial structures, known as metamaterials, where thermal properties can be tuned almost at will by microstructural modifications. Testing a broad range of nanostructures for the particular device applications, with predictive behavior, is a grand challenge especially because of the difficulties associated with the experimental synthesis of the pristine samples, their char- acterization and property calculations. For example, the silicon-on-insulator technology, used as the building block of sensors designed by our industrial partner, gives rise to particularly complex phenomenology. These materials exhibit anisotropic heat flow that often greatly influences their heat transport behavior and thus impacts device performance either in a positive or negative way. Therefore, there is a strong industrial need to develop a material toolbox, with highly predictive structure-property relations to match particular device applications. Our goal is thus to respond to this need by mean of molecular dynamic simulations by constructing a multidimensional phase diagram that will incorporate a broad range of metamaterial structures and physical properties in order to explain, design, and propose experiments for new directions with the precise property predictions.