Synthesis and modeling of stimuli-responsive polymers for fracturing fluids use

Currently, the global warming alerts, oil prices fluctuations and clean energy have paved the way of investing in the producing wells by enhancing the recovery of hydrocarbons compared to exploration wells. Applying hydraulic fracturing from injected fluids is most common method used. These fluids create cracks in the bedrock and push the hydrocarbons to the surface. The well usually have harsh conditions of high temperatures up to 200 °C and a variant pH between 3-11 which cause challenges to the injected fluids.

Develop an AI-backed geospatial data collection and analysis platform as a marketable software package

The ubiquity of smartphones and their embedded technologies today can provide transportation agencies with affordable travel survey methods which place less burden on respondents and enables collection of continuous, high quality travel data. Such technologies, however, have not yet made the leap from speciality tools of academia to industry, primarily due to the specificity of domain knowledge required to produce useful information and gaps in the literature due to the difficulty of implementation.

Reliability evaluation of strain-based design for pipelines using probabilistic demand/capacity models. - Year two

Ground movement can impose excessive deformation violating pertinent pipeline limit states. Currently, the integrity assessment of pipelines subjected to soil movement is generally performed by analyzing the stresses and/or strains in pipelines using various engineering techniques, including finite element analysis (FEA). However, given the wide variability of the pipe and soil engineering properties, using deterministic approaches alone may be inadequate.

Scalable Chatbot Framework for Multi Layered Chatbots and Memory.

The general objective of this research project is to develop a new natural and empathic chatbot by integrating the transformer and intent-based systems. The goal is to implement a system for expressive 3D interactive characters that can move between the structure of an intent-based system with specific Question and Answer pairs and the more open-ended smart system of the Transformer. Most currently existing chatbot systems are limited in their abilities to engage in open-ended and natural dialogues with human users.

Production of Flow-Through Z-Pinches Using Advanced Methods

This project will develop a low cost prototype fusion reactor to create energy from water. We will find a better way to add the power to run it and to increase the efficiency of operation over previous versions of the machine. The interns will increase Fuse’s knowledge of the workings of the reactor and the devices that help run it and monitor it. Fuse will then be able to build a new and improved reactor that will achieve a long sought after goal of the scientific community of getting as much energy out of a fusion reactor as is put into it.

Understanding the performance of pulse and cereal flours of varying particle sizes at high heating temperatures using Rapid Visco Analyzer 4800

In this project, the intern (Dr. Dong-Jin Lee; Postdoctoral Fellow) will work at the University of Saskatchewan and at the R&D facility of our industry partners ? Pulse Crops (Canada) Association and PerkinElmer Health Sciences Canada Inc. ? to control the milling processes of selected Canadian pulse and cereal crops to prepare “fine”, “medium”, and “coarse” flours and then measure the functional properties of the obtained flours.

Applications of tensor neural networks to financial forecasting in incomplete markets

pre-agreed price. The problem of what an option is worth is usually solved using costly numerical simulation methods.
We will apply Deep Learning methods to solve the Option Pricing Problem. This cutting edge technique has the advantage that, once trained, the model can simulate many scenarios at a low computational cost. Unfortunately, training is costly and can be unstable.
Our original contribution is to use Tensor Networks to improve this Deep Learning model.

Sediment Budget of the Lower Fraser River

Sediment processes are regularly disrupted in large sand-bedded rivers and deltas as a result of human development. Development of the Fraser River delta and estuary, associated with sediment dredging, dykes, and flow diversions has been linked to reduced volumes of sediment delivered to the delta front and systematic channel degradation. As a result, the delta may be sediment starved and transitioning from a growing to an erosional state, increasing its vulnerability to oceanic forces (e.g., waves, tidal forces).

Bipolar Electrodialysis Flow Battery

Aqua-Cell Energy, the partner organization, is developing low cost batteries that utilize safe chemicals and have a unique design. The technology being developed can enable large amounts of energy to be stored at a low cost. When using lithium ion batteries, the current industry standard technology, it is expensive to store large amounts of energy and there are significant fire safety concerns.

Intelligent Autonomous Mobile Robots with Safe Navigation in Dynamic Environment

With the global pandemic effect, the market is experiencing a significant transformation, with robotics to adopt the roles of delivery vehicles and personal assistants. Atlantic Business Express is looking at bring the service robots to Canada, starting in Nova Scotia through working with Dalhousie University. The project is to develop intelligent path planner for mobile robots with safe navigation through obstacles in indoor dynamic environment. The interns will develop an intelligent motion planner as well as efficient collision and obstacle avoidance modules.

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