The research project undertaken by the intern is to investigate the relationship between inflammation and temperature, use that knowledge to define thermal metrics and develop a standard operating procedure for 3D thermal body imaging. During the project the intern will build a phantom to evaluate and optimize the performance of a commercially available 3D thermal […]

Heartland Disposal & Recycling is a waste disposal & recycling business offering waste disposal bins, portable toilets, and temporary fencing to residential, commercial, and industrial companies. Heartland also provides ongoing accounting and financial reporting services to Hape International Inc., which is a multi-national toy manufacturing business. Hape International Inc. has approximately $25 million in annual […]

There is an increasing demand for food production to meet the ever-growing world population. As such, effective management of farm resources is quite critical for the optimal operation of farm enterprises to meet the demand. This project intends to develop an automated approach to detect and analyze fruits using a camera system. One internship programmer […]

Adverse events due to benzodiazepine use and falls are important clinical outcomes in older adults. As well, high-cost users of the health care system, although small in number, are a substantial burden with regards to health costs. Continued use of BZRAs in older adults is concerning from a public health standpoint; 1 in 3 older […]

The green building movement within building designs has put a spotlight on the application of green technologies to reduce the energy consumption and overall carbon footprint of residential and commercial buildings. In general, approximately half of a building’s total energy usage goes towards heating, cooling, and lighting requirements [1]. According to a recent report from […]

Engineers use the earth’s heat to create heat pumps, to store energy, and to generate power. As the world moves away from carbon fuels, geothermal resources are increasingly attractive, promising sustainable, reliable sources of energy. Fortunately, the oil industry has already provided infrastructure to access this resource—depleted horizontal oil and gas wells drilled to a […]

The proposed project is focused on developing practical methods to quickly and accurately estimate the effective thermal resistances (R-value) of different masonry wall systems. The R-values of various walls are needed by the internship partner and its member organizations for showing that their wall designs comply with the new building codes. To develop the practical […]

The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not […]

Humalite is a naturally occurring organic substance containing high concentrations of humic acid. Humic-based substances are well known for improving the physical, chemical, and biological properties of the soil. Therefore, humalite may be a cost-effective and environmentally friendly soil amendment with a wide variety of end uses. Large deposits of humalite were found in Southern […]

SeeO2 Energy has developed world-leading catalysts for reversible solid oxide fuel cell (RSOFC) systems with promising performance to produce syngas from H2O:CO2 feeds. The company has scaled-up the technology and has moved closer towards commercialization by building larger cells. However, assembling the RSOFC stack presents challenges due to issues associated with contact materials especially at […]

Traditionally, drug discovery is a long and costly process, which consists of many stages and on average takes a total of more than 10 years, because it screens huge amount of drug candidates by conducting chemical and biological experiments which are expensive and time consuming. This project aims to apply graph representation learning technologies to […]

An existing Forex currency trading system has demonstrated a proof of concept on a static data set. The current project proposes to implement the trading system for real-time applications taking advantage of available geospatial information which can influence currency markets. The novel methodology will be based on building a high-dimensional weighted autocorrelation model between real-time […]