National Smart Vehicle Demonstration and Integration Project

In a context of global warming, it is essential to find green alternatives to public transportation. The National Smart Vehicle Demonstration Project aims to improve mobility options for Canadians by advancing the implementation of low-speed electrified autonomous shuttles (LSAs). This project aims to support job growth in the design of technologically advanced electrification, sensing, communication and cybersecurity tools that support LSAs.

An advanced battery charger with a wide DC input voltage range for electric-bike applications

Thanks to the rapid development of solar power technology and the effort to use the renewable energy, charging e-bikes from a solar charging station installed in public areas will be a prospective scenario. Depending on the weather conditions and charging station specifications, a solar charging station usually provides a DC voltage within a range going from 12V to 72V.
Therefore, it is desirable to design a DC battery charger for e-bikes that is able to work with such a wide range of DC input supply voltage.

Data Pipeline of Artificial Intelligence Applications

The overarching goal of this project is to research the feasibility of a low-cost, general purpose data pipeline that can learn and adapt to large, varied and dynamic data sets. Specifically, we will utilize a large sample of 3D gait and motion data captured from a cohort of research participants with dementia or mild cognitive impairment during an intervention study.

Hybrid Microgrid System sizing and energy management based on data analysis and load profile

Research and development efforts in solar, wind, and other renewable energy technologies are required to continue for, improving their performance, establishing techniques for accurately predicting their output and reliably integrating them with other conventional generating sources. The objective of this project is to model a hybrid power system for buildings, which is technically feasible and economically optimal.

Improved pulse pressure approximation and pattern recognition algorithm for prediction of blood pressure-related health issues

Continuous blood pressure (BP) monitor is highly beneficial for detection and prevention of stroke and cardiovascular disease. The most common BP monitor technique still relies on using a cuff that slows the blood flow, which is both uncomfortable and makes continuous monitoring impossible. Furthermore, research has shown that due to the numerous artifacts, the existing cuff-less BP monitoring technologies such as pulse transit time (PTT) and tonometry are not effective.

Dymedso FrequencerTM technology optimization

Dymedso is willing to introduce a new technology for sound-wave generation therapy that addresses some issues identified by patients and caregivers over the past years of use in clinical practice. The identified issues involve ergonomic and
performance limitations. For instance, the current version of the device is still cumbersome for patient use. Thus, for more practical and effective use, the device needs to be optimized in terms of size, weight, and overall performance.

Improving the Accuracy of Frequency-Dependent Transmission Line Models by Including Corona Effects

The candidate will utilize his knowledge and experience in transmission line modelling to implement test cases required for the electromagnetic transient studies. The simulations will be performed using well-known computer packages available at BC Hydro and Power labs at UBC as well as programs written by the candidate to implement the recently developed line model in his PhD work. Simulation results will be compared with the simulations previously performed by BC Hydro.

Building Fog Applications for Smart City: a Coordination Approach

The project deploys and try out a coordination model and platform that helps developers to build smart city applications that run in large scale, dynamic fog computing infrastructure. Fog computing is a computing infrastructure that involves devices across the edge network such as smart phones, smart cars, the access network such as Wi-Fi routers, modems and the cloud servers.

Real-Time HIL Simulation of a Battery Energy Storage System

Batteries are becoming popular options for storage of energy at large scales for application in power systems. A battery energy storage system may be developed using batteries of different chemistries and also batteries that are not necessarily at the same state of health. The capabilities of a battery energy storage system are affected by the characteristics of the batteries that form it. Therefore, it is essential that a storage systems be developed and operated with a full understanding of how these differences affect its performance.

AI based Pointing and Tracking for Satcom Terminals

Aimed at maximizing the antenna signal of the satellite communication (Satcom) terminal in a satellite system, positioning and tracking methods based on AI are studied in this project. This proposal focuses on the issue of a satellite’s pointing and tracking for a stationary Satcom terminal.