In the context of systems with a large codebase, Continuous Integration (CI) significantly reduces integration problems, speed up development time, and shorten release time. While regression testing is widely practiced in the context of CI, it can be time-consuming and resource intensive for large codebases where the execution of test cases is time and resource […]

Electric Power is crucial challenge for every nation. Canada is a developing country and the development of any country is nudged by the amount of electricity used by that country. The size of the power system is growing exponentially due to heavy demand of electricity in all the sectors viz. agricultural, industrial, residential, commercial and […]

Battery energy storage systems (BESS) play a critical role in the electrification of the transportation industry. Despite many recent advancements in lithium ion chemistry at the cell-level, prediction of battery system lifetime remains a challenge at the system-level. Corvus Energy is the world’s leading supplier of safe, innovative, and reliable energy storage solutions for all […]

Camera enabled AI-based personal assistants will need to recognize human actions in order to be safe and effective. Current machine learning approaches for action recognition require extensive datasets of annotated videos that depicting the actions to be recognized. Such datasets are expensive to acquire. The goal of this project is to decrease the annotation required […]

XLScout is a startup engaged in democratizing innovation and connecting research and development with intellectual property (IP) departments across the world. The company is developing proprietary algorithms, using Artificial Intelligence and Machine learning, to mimic the behaviour of an expert searcher. XLScout hosts a data vault of about 130+ million patent documents which occupies approximately […]

The objective of this research is to create a data architecture and a state-of-the-art machine learning algorithms to build a robust user-profile system that (i) extracts, stores, builds, and analyses synchronously up to 1 million user profiles generating at least 50 behavioral data (alpha-numeric value of 64 bytes) per second, (ii) provides over 5 millions […]

This project aims to propose a novel fifth generation (5G)-enabled machine learning based edge computing solution for the optimal energy and space management of smart buildings and implement it in hardware to validate its performance. The proposed solution exploits the energy and space management databases, enriched by the emerging advanced sensor technologies and 5G wireless […]

The proposed initiative is different from conventional small molecules or biologics therapies. The living “drugs” are patients’ own immune cells. However, due to factors, such as age, and genetic differences between individuals, there is no magic “one treatment for all patients”. Intrinsic interpatient heterogeneity requires “personalized immune-therapy”. We have to adopt a “quality control” when […]

As very large scale integrated circuit (VLSI) technology progresses, power consumption and power density of VLSI circuits increase when design complexity and transistor density increase. Low-power design becomes a major design challenge. Lowering the supply voltage is one of the most efficient ways to save power because power consumption is proportional to the square of […]

Canada population is getting older as the baby boomers enter their retirement years and the current models for communal care will not be able to scale to meet the demand and continuing to age in place and live independently is preferred leading to the best quality of life and outcomes. The recent COVID pandemic experience […]

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]

In recent years, an increase in industrial robots in manufacturing has emerged. However, there are still possible safety issues and difficulty in specifying tasks for the robots to perform. The objective of this research project is to make a path planning system that uses demonstrations of how to perform a task to learn how to […]