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 […]

The proposed internship, developed between the University of Waterloo and Philip Beesley Architect Inc. (PBAI), will develop and validate prototypes for novel expressive interactive sculpture environments. The work incorporates human perceptual studies and machine learning techniques for generating models for perception and generation of affective expression within experimental architecture and installations, and systematically deriving the […]

Drilling is a major operation in the mining industry. Holes are drilled in underground mine structures to insert reinforced steel bars for support and to prevent the mine from collapsing. One of the mining operations is to break mine rocks using explosives into smaller parts that can be transported for further processing. Both cases need […]

Digital Trust Test Bench (DTT) is a quality assurance tool for digital credentials, allowing governments and organizations to test digital credentials to ensure compatibility with other platforms. The cloud-based platform enables interoperability testing among technology components and solutions within the digital trust ecosystem. DTT is designed to be an all-in-one platform for digital trust ecosystem […]

In this project, we aim to investigate the applicability of a digital micromirror device (DMD) combined with microfluidic devices for the fabrication of complex 3D constructs at a micron scale. The fabricated constructs will be used as microrobots for biomedical applications.

Rogers Communications, with around 8,000 cell towers in Canada, faces challenges in manual inspections, which are slow and risky. In collaboration with Rogers, our research team is developing a cutting-edge solution: small drones enhanced with 5G and AI technology. This approach aims to revolutionize tower inspections by providing faster, more accurate, and safer methods. The […]