The free-flow counter gradient focusing technology provides a solution to tackling the problem of separating and collecting large amounts of protein sample. This technology is to be high performance and scalable, and is meant to compete against current batch mode protein separation techniques. The intern will assist in developing the experimental set-up necessary to validate […]

Solar photovoltaics (PV) is currently the second-largest renewable energy after hydropower, producing 3.6% of the world’s electricity in 2016. To achieve caron neutrality, higher share of solar and renewable energy is required, and enhancement of durability of solar PV modules of larger size with tracker systems is the key. This research employs laboratory testing and […]

Vaccines are inherently unstable and are stored in the refrigerator or frozen. This project aims to design a vaccine technology, using a viral vector, that would be much more stable and able to be stored at room temperature. This advantage would reduce the cost of transport and storage, especially in the case of stockpiling for […]

The current healthcare system is struggling with maintaining quality and managing costs. With more older people and more cases of chronic illnesses, these problems are likely to get worse. By using the fast 5G network set up by Rogers at the University of Waterloo, along with medical monitoring devices from Mespere LifeSciences and the Tang […]

This project investigates the extraction of the critical minerals nickel and cobalt using vapour metallurgy (or Mond process) from a material called mixed hydroxide precipitate (MHP), a common feed material for the refining process produced from laterite nickel ore. MHP contains both nickel and cobalt in different ratios depending on the feed material source. The […]

The proposed research project aims to determine the optimal utilization of less productive agricultural land in Canada. The objective is to leverage the capabilities of generative artificial intelligence together with optimization techniques to decide where nature-based solutions, such as smart farming, tree planting, and natural area regeneration, should be implemented. Selecting the appropriate strategies for […]

In this project, we study the Unruh-DeWitt (UDW) model, which features a two-level system (an “atom”) coupled to a quantum field. In a previous publication, the UDW model was extended to include a relativistic centre of mass, which was introduced via a first- and second-quantised treatment of the atom’s dynamics. However, an issue with this […]

As Canada advances to a sustainable and prosperous net-zero future by 2050, investment and research into the battery industry can help accelerate progress towards net-zero emissions targets and are a vital resource to support Canadian industry and workers in seizing economic opportunities for next-generation Li-ion batteries. Li metal batteries, as one of the most promising […]

Our novel method enhances low resolution images from surveillance footage and facilitates automatic recognition of license plates. Even if the frames are blurry and unclear, the proposed model can enhance while prioritizing character and text information detection. This will be beneficial to security, law enforcement and investigation agencies.

This proposal aims to examine the potential of laser powder bed fusion additive manufacturing (AM) in producing rare earth magnetic materials and open the door for manufacturing such components via recycled materials. The AM sector is the fastest-growing area within advanced manufacturing and presents a unique opportunity to boost economic profiles at both provincial and […]

The purpose of this project is to leverage Open AI fine-tuned models to enhance the speed in which consulting firms can respond to government issued RFPs. The benefit to the partner organization is enhanced speed and ability to match requirements with consultants.

The proposed project will study some essential tasks regarding motion planning of autonomous indoor service robots, focusing particularly on reliable coverage-planning of arbitrary and irregular-shaped indoor regions. The tools to be used in devising solutions for these problems include geometric and graph theoretical optimal path planning algorithms, various sensor data fusion techniques, and artificial intelligence […]