Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast […]

This project proposes to explore and implement a method of storing and retrieving data relating to genetic variation across a population of individuals. Due to the large amount of genetic information each person possesses, such a database requires special attention to minimize the amount of data stored and to create efficient methods of accessing the […]

The primary goal of this project is to explore a variety of new and existing Natural Language Processing (NLP) techniques to improve the performance, and further the automation of, Knote’s text analysis software – specifically with entity recognition. Entity recognition is the process of identifying all groupings of words in a collection of documents that […]

My project focuses on a particular kind of massive star that are surrounded by disks called B-emission (Be) stars. These objects are ideal laboratories for studying disks. Massive stars can spew out a thousand times more energy per second than our Sun and because the disk is formed from gas launched from the star, they […]

The loss of bone is a massive burden on the health care system and severely impacts the quality of life of several hundred million people. The need for alternative strategies to replace or regenerate bone tissue is overwhelming. We are proposing a completely new approach to the engineering of bone using a ?cocktail? of genetically […]

Information published by financial news agencies is used as one of the inputs to make investment decisions. News articles from multiple sources can be used to gauge market sentiment towards an industry or a specific company. Deep learning techniques have been successful in producing state of the art results on various benchmark datasets (Dai & […]

Considering the soot-free burning characteristics of DME/OME fuel, highly diluted intake charge can be introduced in order to realize ultra-low nitrogen oxides emissions. However, the ignition process of the highly diluted fuel/air mixture is difficult, and an unstable ignition process is detrimental to fuel efficiency and engine performance. In this project, innovative ignition systems including […]

Sudbury represents the site of a meteorite impact structure originally greater than 200 km in diameter and that formed 1.85 billion years ago. Despite the proven and potential economic benefits of resource development at Sudbury, there are still major outstanding questions concerning our understanding of the structure and its ore deposits. A series of objectives […]

The goal of the research is to implement different data mining algorithms in order to improve the prediction on a user’s electricity consumption. The research will be dedicated to improve the existing algorithms or implementing new algorithms for the improvement of the prediction accuracy. Besides application of the prediction algorithms, different data pre-processing methods will […]

AVID200 is a TGF-? trap that specifically sequesters TGF-?I and TGF-?III to enhance antitumour immunity to inhibit tumor growth. AVID200 also avoids adverse side effect of depleted of TGF-?II. AVID200 is relatively short-lived in circulation, decreasing its capacity to exert desirable enhancement of anti-tumour immunity. To increase the effectiveness of TGF-? traps, a panel of […]

Kobo is an online e-book retailer that provides recommendations for future purchases to its user base. One difficulty that recommendation systems face is what is known as the “cold-user” problem. In this scenario, when we know so little of a user’s preferences (for example, if they are new to the platform), we do not have […]

Sexual offending is a major public health concern in our society, with 21% of those charged with sexual offenses being adolescents between 12 and 19 years. Characteristics of these youth include antisocial attitudes, and problems with self-regulation and intimacy, problems that interfere with learning, social maturation, and appreciating the rights of others. To date, theories […]