Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

Our project, Toronto’s City Diplomacy: Arts, Culture, and Heritage, brings together scholars and practitioners in the cultural disciplines to consider how the Greater Toronto and Hamilton Area (GTHA) engages in cultural diplomacy and cultural networks locally and globally. With Hot Docs Canadian International Documentary Festival (Hot Docs) as our non-profit partner, this project examines how […]

The goal of this research project is to develop novel technics to teach artificial agents how to play complex video games using reinforcement learning and demonstrations. Namely, we wish to propose a novel approach for learning from demonstrations, in which an agent simultaneously learns a behavior and the corresponding reward signal. This training procedure will […]

The proposed project aims to develop a systematic approach for improving deep-learning-based computer vision systems by augmenting the local pixel data with the global shape data (more specifically, Jordan curves) and by adjusting system architectures to accommodate the augmented input. Three canonical computer vision problems will be investigated in this project. They are respectively image […]

Data centers are now growing and expanding massively. They are large scale and heterogeneous. In addition, they rely more and more on emerging technologies such as Software Defined Networking (SDN) and Network Functions Virtualization (NFV) with “network softwarization” as their key feature. Moreover, they are now being augmented with edge data centers rooted in concepts […]

Data centers are now growing and expanding massively. They are large scale and heterogeneous. In addition, they rely more and more on emerging technologies such as Software Defined Networking (SDN) and Network Functions Virtualization (NFV) with “network softwarization” as their key feature. Moreover, they are now being augmented with edge data centers rooted in concepts […]

A plethora of business models have encouraged the proliferation and expansion of devices connectivity through network densification through 5G core solution. The complexity of the network as well as its ability to evolve constantly have change the way to secure is operated. Security needs to be based on constant monitoring to detect malicious behavior across […]

Rethink is Canada’s largest, national independent creative agency. As Rethink enters their twentieth year, they would like to formally collect the tips, tools and wisdom — 20 years of knowledge and experience — and share it with a broader audience interested in the creative industries and the process of creativity in general. Working with a […]

In this project, our goal is to set up a framework of data collection to support user profiling which could be used to identify influential users in decision-making. The profile will be built based on the information of individual users obtained by collecting user activities in rewarding challenges that encourage employees, customers and partners to […]

Character motion in games and animations often have high requirements of realism, aesthetics, and interactivity. For instance, in soccer simulation games, users control the players to move in different directions and perform actions such as passing and shooting. Modern data-driven approaches like motion fields provide convenient ways to synthesizing natural motions from a given database […]

This Mitacs cluster project will involve the research, development and deployment of a multi-sensor navigation system that will be used for portable applications, such as dismounted soldier navigation, urban surveying and mobile phone localization. Multi-sensors are needed to provide positioning and orientation information when wireless signals are blocked or inaccurate. The project will focus on […]

The focus of the project is to develop an packet-optical network resource optimization model that minimizes the total network cost across IP-optical platform while meeting the following requirements: (i) Offers full protection from any network node and link level failure. (ii) Ability to handle large scale networks and traffic demand (i.e., network scalability). (iii) Meets […]