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 […]

Micro- and nanoplastic (MP/NP) pollution is a pressing global issue resulting from the widespread use of plastics. These minute particles, present in everyday products, accumulate in the environment, even being detected in infant feces and blood. Addressing this concern is paramount, with wastewater treatment processes (WWTPs) playing a pivotal role. However, conventional WWTPs encounter challenges […]

This research focuses on the development of machine learning and natural language processing techniques for automated textual dialog systems called chatbots. More specifically, we will develop algorithms to allow chatbots to adapt to new topics and concepts in open ended domains. We will also develop algorithms to recognize the emotions of users through their text […]

High performing asphalt pavements are vital to the continual operation of North America’s transportation network. Asphalt, which is a mixture of asphalt cement, aggregates, and fillers, is paved at high temperatures and compacted to provide a smooth, waterproof, and safe wearing coarse for vehicles. Over the 15-to-20-year lifespan of the pavement, the asphalt surface can […]

This project aims at improving LED technology through the utilization of advanced atomically thin materials. It seeks to create a scalable method for fabricating high-performance, energy-efficient, and flexible LEDs, addressing challenges in scalability and reproducibility. By combining CVD-grown transition-metal dichalcogenides (TMDCs) with spatial atomic layer deposition (SALD)-grown semiconducting oxides, the project promises to advance research […]

Currently, green ammonia is produced using a process that combines green hydrogen and nitrogen. There’s a newer method called Direct Ammonia Synthesis (DAS) that can be better because it can produce green ammonia directly, without going through the extra steps of producing green hydrogen and then combining it with nitrogen. This could save a lot […]