Variable selection for uplift modeling

Insurance companies heavily fund marketing campaigns such as, for instance, customer retention or cross-sell initiatives. Uplift modeling aims at predicting the causal effect of an action such as medical treatment or a marketing campaign on a particular individual by taking into consideration the response to an action. Typically, the result of an uplift model is […]

Read More
Design and fabrication of transmon qubits

Despite the monumental advances made in classical computing technology over the past decades, computationally expensive tasks are still presenting daunting challenges to researchers and industry. Quantum computing has the potential to revolutionize many facets of information technologies by pushing the frontiers in various fields ranging from machine learning to cryptography. This research project aims at […]

Read More
Intelligent surveillance for event detection

We aim to develop a video surveillance system that detects and reports events of interest to users. Traditional way is to use RGB cameras to operate in constantly and evenly illuminated areas to detect simple events. The challenge is that visual characteristics of an unconstrained scene are unstable due to illumination variations. In this project, […]

Read More
Enhancing Recommendation Engine for Open Source Software with Community Structures and Copulas

In the constantly expanding world of open source software and services, developers find it increasingly difficult to choose open source that is compliant, secure and reliable. There are millions of open source software and services publicly available today, and compliance, security and quality related information is extremely difficult for developers to find, making mindful selection […]

Read More
Development of an Echo Cancellation Scheme for Full Duplex DOCSIS 3.1 Technology

Data-Over-Cable Service Interface Specifications (DOCSIS) 3.1 is a technology that utilizes orthogonal frequency-division multiplexing (OFDM) technology to provide downstream (DS) transmission capacities of up to 10 gigabits per seconds (Gbps), as well as orthogonal frequency-division multiple access (OFDMA) technology to provide upstream (US) transmission capacities of up to 1 Gbps per channel. Full duplex (FDX) […]

Read More
Estimating Real-Estate Property Prices and Days on Market through Machine Learning

In collaboration with Western Canada Realty, we aim to develop a real-estate valuation online service for the Alberta real-estate market, especially for Edmonton. The product resembles Trulia and Zillow on a high level, which are real-estate price estimation web services in U.S. The system requires a backend that takes as input house pricing information from […]

Read More
Investigating the challenges of designing and implementing human resource management systems in the context of a Quebec SME.

This research project will focus primarily on the analysis of information systems technology adoption in order to improve the design of information systems and the process used for their implementation. More preciously, the main objective will be to investigate the adoption of information systems designed for human resource management in order to identify improvement opportunities […]

Read More
End-User Understanding of Web Certificates – Year two

Users must decide which websites to trust and which to avoid. How can users know if a website is truly what it claims to be? This is a pivotal issue. When attackers can convince users to trust their sites, though phishing or other strategies, user security and privacy are easily compromised, malware can be downloaded, […]

Read More
Automatic Casting from Videos Using Deep Convolutional Neural Networks

In automatic casting applications, the aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. In particular, this project will focus on challenging tasks of capturing and modeling the facial trajectory for each person appearing in a movie in order to predict when/where the […]

Read More