Content Delivery Networks (CDNs) represent the up-to-date standard to transfer data through on-growing Internet. They are designed to manage traffic streams to avoid network problems. Despite the fact that CDNs attempt to satisfy security requirements (authentication, data privacy and integrity), they face rising innovative threats, observable in the cyber-space. The main objective of this project is to design, implement and test new methods to detect and prevent maliciousness in CDNs. We aim at building an alternative solution to classical Web Application Firewalls (WAFs).
Networks are ubiquitous in our world. In broad terms, a networked control system consists of sensors, actuators and controllers interconnected and coordinated through a communication network. Networked control with distributed intelligence can open new directions in the industry of robotic entertainment allowing for pursuer-evader games to be played with multiple robots. The research proposed here will give a first step in this direction.
The proposed research project aims at evaluating and improving a technique in Statistical Natural Processing called Topic Modelling in order to apply it to real-life scenarios. Topic modeling is a techniques that allows the quick discovery of what the main topics of a document collection are, and thus automatically answers the question What do these documents talk about?.
Several approaches have been proposed to implement topic modeling, but their evaluation have rarely taken the end-use into account.
This proposal outlines an interdisciplinary, multi-method program of research to develop evidence-based frameworks for implementation and evaluation of innovative instructional practices offered by KnowledgeOne, an international online learning provider for post-secondary institutions, and its elearning partner, Concordia University.
In this project, the intern will design a community health care scheduling system for the allocation of home visits to care givers in community health care. The system adopts an agent-based distributed system architecture which take patients scheduling preferences on time, location and care givers into account when assigning care givers to home visit appointments. In addition, the system will also provide care givers with the opportunity to express their preferences and availability constraints in taking service appointments.
In a multi-tenant cloud environment, several tenants share the same physical resources. To ensure security of tenants data and process, appropriate security measures should be implemented by the cloud provider at multiple layers. Particularly, appropriate controls for end-to-end network isolation must be put in place. The proposed research project aims at elaborating innovative and efficient approaches and methods to audit end-to-end network isolation in the cloud.
Mentorina is launching an intelligent learning system that helps teachers observe, measure, and improve each students individual performance in the classroom. Teachers can design individualized assignments or exams and through cognitive and metacognitive assessments, they can accurately measure how quickly students are learning the material and can determine each students level of comprehension. Through an interactive social media platform, teachers can then help improve a students performance on an individual basis.
Morphodynamic models are increasingly used in watershed management to predict the evolution of river channels and to test management scenarios prior to their implementation. The impact of plants in riparian zones is particularly critical to better document, but the current models rarely integrate this component. This project will use a bank erosion module and a vegetation module, recently developed during the interns PhD research to address some of the weaknesses of existing morphodynamic models, to develop knowledge on the effects of riparian plants on bank erosion.
In this project, the intern will develop an integrated patients and care givers scheduling system for the allocation of health care resources in community health care. This system provides patients with an online preference collecting interface for them to express their preferences on time, location, and care givers when estimating their service costs and booking a service appointment. In addition, the system will also provide care givers with the opportunity to express their preferences and availability constraints in taking service appointments.
This project aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis is put on consumer side energy management strategies that able to balance energy demand and supply and to reduce the overall operational cost while providing an enhanced performance.