Online Business Model Prediction Service

In the business, it is critical to understand and predict needs of customers in advance and in precision. Machine Learning and Artificial Intelligence make it possible to extract the desirable properties and predict the objective in the future. This project is interested in the implementation of this concept as a toolbox. The toolbox will consider Online Business Model Prediction Service (OBMPS) as the objective to create an environment to drive smart decisions.

Utilization of Agile Management in Construction Projects

Usually, any construction project begins with the planning department preparing a construction schedule that is pushed onto the project team. The big up-front plan might cause delays in the construction process because it relies on predicting a lot in the future, so you need frequent updating of this plan throughout the execution. Agile is a project management approach that includes micro-planning tools to support construction contractors in the execution of projects.

Advanced Signal Processing and Machine Learning for BLE-based Indoor Localization

The Internet of Things (IoT) is a new emerging paradigm and is rapidly gaining ground in different applications of significant engineering importance including but not limited to smart buildings, and smart public environments. The main enabling factor of this promising paradigm is integration of identification, localization, and navigation technologies with smart hand-held devices equipped with sensing, processing, and communication capabilities.

NLP Sales Assistant

The goal of this project that will be conducted in collaboration with Heyday is to create a technology that uses a given messaging platform (e.g. Facebook Messenger, web chat widget) that allows users to communicate easily and smoothly with their preferred brands or retailers. This technology should allow the automation of answers and interaction between users and retailers. The technology that we would like to develop will be based on advanced Natural Language Processing (NLP) and machine learning techniques.

GIS-based Wildfire Catastrophic Risk Economic Capital Modelling

Models used for Wildfire catastrophe insurance as of today are not considering substantial information, such as geographic information and environmental constraints. The objective of the project is to establish a theoretical framework and an empirical process to enhance Aviva Canada’s current Wildfire Economic Capital (EC) model, to be able to determine the amount of capital needed to be allocated to ensure the company remains solvent, in case of occurrence of risks.

WP 2.1.2: Advanced, Intelligent, Analytics Driven Apps for Software Defined and Functionally Virtualized Networks

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the areas of interest. In particular, the algorithms will be devised to be fast and near-optimal to enable their implementation in the network in accordance with operator’s goals of making the network near-optimal and adaptive.

Haptic API/SDK for Distributed Full Body Haptics

The research seeks to develop an easy to use and program SDK in the Unity software framework for the design and integration of expressive haptic effects for a distributed series of worn haptic actuators. The project’s central objective is to develop a cross platform composition tool for designers that makes it easy to integrate haptic effects into new kinds of XR-based immersive experiences ranging from games and VR experiences to full body, immersive room-based environments.

Exploring surface nanoscale axial photonics resonators for ultrahigh-resolution optical gyroscope applications

We will fabricate cylindrical glass microstructures that keep light traveling in circles for a very long time. The circular trajectory of the confined light changes very sensitively due to rotational motion of the cylinders, and these changes can be measured by detecting angular velocity. Therefore, the project aims at developing these cylinders that allow light for many rounds of propagation without leaking, as a way to increase the sensitivity to rotations.

Automating Configuration Management and Deployment in Large-scale Data Centers Augmented with Edge Data Centers

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 such as cloudlets, ETSI Mobile Edge Computing (MEC), and fog computing. Such data centers bring a host of new challenges when it comes to the automation of configuration management and deployment.

Identification and characterization of new antimicrobial chemical series

Antibiotic resistance represents a major health problem for society. With the expanded use of antibiotics, microorganisms have developed various mechanisms of resistance to overcome the effects of once highly effective agents. There is therefore an urgent need to identify new therapies to counteract resistant strains. The intern will design and identify new drugs that are capable of treating patients infected with bacterial strains showing resistance to current drugs used in the clinic.