Investigation of cybersecurity issues in using electric vehicle fleets with battery exchange infrastructure

Sustainable public transfer systems are getting a lot of attention, and many organizations are transforming their fleets into systems that rely on alternative fuels; the Electric Vehicle (EV) being most popular. The environmental, geopolitical and financial advantages of EV vehicles are well studied; however, security of these systems is not given full attention. The most common method of recharging EVs is to use exchange or recharge stations.

Upgrading of heavy and high heteroatoms containing Hydrofaction™ Oil, to fuel blendstocks via Hydroprocessing and in-situ hydrogen production

The Project’s objective is to continue with development and optimization of the promising HTL biocrude upgrading approach that has been executed during the previous MITACS Converge/Accelerated project. The activities are going to be focus on in-situ hydrogen production to limit external cost of hydrogen and process optimization for the obtention of Jet and Marine fuel blend-stocks for transportation fuels.

Cell Designs for High-Energy Electrically Rechargeable Zinc-Air Batteries

The objective of this project is to design and fabricate electrically rechargeable zinc-air batteries. These batteries are highly promising due to their ability to store up to double the amount of energy as current commercialized lithium-ion batteries, based on both energy-per-mass and energy-per-volume measurements.

Development of upper-arm wearable 24/7 electrocardiogram (ECG) monitor device

HelpWear is currently developing HeartWatch, a 24/7 wearable heart monitoring system with an embedded emergency contact system for furthered prevention and better treatment of heart-related illness. Currently, the HeartWatch device operates by fixating the core device on the left Bicep, in the under bicep and frontal bicep location. The core benefit of this is that the location yield signal similar to clinical ECG data, but less of a hindrance compared to current clinical-grade ECG devices.

Using Technology to Combat Social Isolation

Despite increasing accessibility to connect with others online, the general public is lonelier than ever (Blackpool, Gjøvik and Tokyo 2019). To address this growing pandemic of social isolation and loneliness, the current proposal plans to use experimental methods to examine how social media can be used to help reduce loneliness and promote overall mental well-being. Specifically, I examine it by developing a better understanding of how recommending varied (different) vs. unvaried (similar) experiences to users on a platform can aid in increasing overall psychological well-being.

Investigation of Power System Performance with integration of Inverter based Generation

The electric power industry is undergoing considerable changes with respect to structure, operation, regulation and modernization. One of the significant changes is the increased utilization of distribured energy sources (DES) such as wind and solar and other immerging technologies particularly in electric distribution systems. It is envisioned that DES will bcome the main source of energy in the industry in the future due to the environmental friendliness, improving capabilities and lowering cost of these resources.

Deep Learning Technologies for Acoustic Echo Cancellation in Dynamic Environments

In a full-duplex hands-free voice communication system, a speaker located in a room at one end of the link may receive an echo of his/her voice due to the acoustic coupling between the loudspeaker and the microphone at the other end of the link. The goal of acoustic echo cancellation (AEC) is to remove such undesirable echo to improve the quality and intelligibility of the voice communication.

Graph-based learning and inference: models and algorithms

Learning from relational data is crucial for modeling the processes found in many application domains ranging from computational biology to social networks. In this project, we propose to work on developing modeling techniques that combine the advantages of the approaches found in two fields of study: Machine Learning (through graph neural networks) and Statistical Learning (through statistical relational learning methods).

Optimization and modeling of BioCord fixed-film technology for nutrient and organic carbon removal from domestic wastewater

Many biological wastewater treatment options are available, ranging from advanced technologies to conventional treatment options. Fixed-film biological wastewater treatment systems are in an increasing demand for conventional plant upgrades. In this study a fixed-film media called BioCord, developed by Bishop Water Technologies, will be used. The research will propose a new opportunity to enhance the removal of contaminants (such as organic carbon and nitrogen) at higher intensity and lower energy input.

Research on Fast and Accuracy Photonic Integrated Devices and Circuit Simulation Method

In comparison to the well-developed electronic design automation (EDA) tools of microelectronics, the simulation tools of burgeoning photonics are too coarse. Time-assuming and computer memory hungry characters restrict tradition method application on photonic devices and circuits simulation. So, the aim of the proposed research project is to find a high accuracy and efficiency simulation method and models for simulating of photonic integrated devices and circuits.

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