This project aims at experimentally validating the commercial viability of a new silicon photonics design which provides state of the art monolithic integration of various CMOS control electronics and BiCMOS high speed RF drive electronics which may be combined with high bandwidth non-hermetic SMT packages capable of withstanding standard high volume solder reflow processes. Combining […]

This research helps to automate ontology development in order to support semi-supervised and active learning chatbot as much as possible, so that the overhead of chatbot training that requires human supervision is minimized, while relevant knowledge management activities become more efficient. The research objectives are both to refine the quality of the chatbot interactions and […]

The World Wide Web Consortium (W3C) has published a set of guidelines to assist designers in the task of designing digital content which will be accessible to users with a wide range of abilities. These guidelines are known as the Web Content Accessibility Guidelines (WCAG), version 2.1. Students in the Inclusive Design program learn to […]

As the digital landscape continues to evolve, it becomes increasingly more important to understand how technology affects cognition, emotion, and behaviour. This rapid growth of technology has also led to the development of empathetic computing programs with the goal of augmenting people’s lives. It is crucial to discover the practical implications of these systems. This […]

D-Wave’s quantum computer is good at solving a specific type of problems known as Ising spin problems. However, in order to solve one of these spin problems, you must first solve another hard problem—embedding the spin problem on D-Wave’s quantum processor. From the land of discrete mathematics, this embedding problem falls into a well studied […]

Digital Medical Experts Inc. (DME) is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose and predict optimal treatment for major depression disorder and schizophrenia, and has been allowed patents describing its technology in Canada, the USA, and Australia. […]

Object detection and classification for surveillance applications via deep neural networks have attracted a lot of interests in computer vision (CV) communities. Accurate and fast CV algorithms can alleviate intensive manual labour and reduce human errors due to fatigue and distraction. In detection problem, the aim is to determine bounding boxes which contain interested objects […]

The voltage source converter VSC mimicking the behavior of a synchronous machine provides many advantages for grid operation. This “virtual synchronous generator (VSG)” will be implemented as a real-time simulator model on the RTDS simulator and used to investigate several operating scenarios. The VS G behaves like a synchronous machine, which is one of the […]

Near-eye displays (NEDs) are small displays that are positioned closed to the eye, which conveniently places visual information in the line of sight of a user. NEDs need to be compact and lightweight as they are typically worn on the head, taking the form of glasses or goggles. In this research, we design and build […]

Querying databases without a layer of privacy protection might lead to serious privacy issues. Such issues include access patterns and communication volume patterns. By combining the state-of-the-art privacy standard (differential privacy) and encryption in provides resilience to a host of attacks on remote databases, including data reconstruction attacks. However, there is still research work needed […]

Over the recent years, cryptocurrencies have attracted tremendous amount of attention from both general public and professional investors as a new asset class. However, trading activities of cryptocurrencies are extremely fragmented and unregulated in most of countries around the world. The proposed research project aims to empirically study the microstructure of cryptocurrency exchanges in order […]

Machine learning in the charitable sector is only beginning to be used successfully. Fundmetric Inc has applied various machine learning algorithms to predict donor behaviour, such as who will become a major ($10,000+) donor and which lapsed donors will return if stewarded correctly. There is ample opportunity for research in this domain, including building a […]